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1 r memories to either a schema or an average (normalization).
2 motor activity, lifespan and gene expression normalization.
3 g quantitative PCR and log10 transformed for normalization.
4 ities, one may infer the appropriate form of normalization.
5  empirical Bayes approach to microbiome data normalization.
6 efit is additive when combined with vascular normalization.
7 on of all micropollutants after sediment RNA normalization.
8 ensory tuning, suggesting a role in divisive normalization.
9 ics, including gamma oscillations, linked to normalization.
10 AUROC of 0.96 (range, 0.93-0.98) after color normalization.
11 It is unknown how these dynamics emerge from normalization.
12 ersion polymerization for MC calibration and normalization.
13 redictor for both DeltaPDFF and time to PDFF normalization.
14 cal requirement for acceptance of successful normalization.
15 k independently during the first year of PLP normalization.
16 r of both rate of change of PDFF and time to normalization.
17 ulated by attention is dependent on divisive normalization.
18 tities may crucially depend on the nature of normalization.
19  cell types plus 12 reference genes used for normalization.
20 ay-level co-occurrence matrix features after normalization.
21 ignal strength using external references for normalization.
22 without evidence of volumetric regression or normalization.
23 lection of suitable reference genes for data normalization.
24   Of 39 cases with postoperative rs-fMRI SOZ normalization, 38 (97%) became completely seizure free.
25 nto several regions, and after MRI intensity normalizations a regression analysis is used to determin
26 ariability are also known to engage divisive normalization, a widespread operation that describes neu
27 ence genes for appropriate real-time RT-qPCR normalization, according to specific experimental condit
28               Eight patients (53.3%) had hCG normalization after a median of 9 avelumab cycles; none
29  patient (treated by endoscopic stenting and normalization after ~4 months) and a superficial ulcerat
30                  Existing implementations of normalization algorithms (geNorm, NormFinder and BestKee
31                                As orthogonal normalization allows observation of global changes, the
32 o kinetic treatments, based on variable time normalization analysis, to reactions involving catalyst
33 nd standardized datasets), (ii) 3D structure normalization, analysis, manipulation, visualization too
34         These findings demonstrate that data normalization and "test-retest" methods might improve th
35 d, stable, isotopically labeled standard for normalization and a matrix on top of the tissue section
36                          By using foreground normalization and additional training on synthetic image
37 RNA-seq platforms and several preprocessing, normalization and batch-effect correction methods at mul
38                    The use of within-network normalization and class weighting facilitated learning o
39 rent types of feature clustering, selection, normalization and dimensionality reduction algorithms, a
40 stent prey-phagocyte association, to use for normalization and dose-response analysis.
41  we leverage the feature-tuned properties of normalization and find that visuocortical responses to s
42                      It combines annotation, normalization and gene expression with sequence-structur
43 ntingent on factors which are independent of normalization and general modeling techniques; these fac
44 tential of a combined nanomedicine-based TME normalization and immunotherapeutic strategy designed to
45 figratinib also induces apoptosis and vessel normalization and improves the overall survival of mice
46 hat tumor endothelial S1PR1 induces vascular normalization and influences tumor growth and metastasis
47                                         Both normalization and intensity quantization have an effect
48 normalization, joint factorization, quantile normalization and joint clustering, and visualization.
49 testing approach for count data with bespoke normalization and multiple testing procedures that accou
50                However, the relation between normalization and neuronal response variability (a funda
51 eer and social support interventions; and 7) normalization and provision of mental health support pro
52     Overall analytical uncertainty including normalization and reproducibility for delta(33)S and del
53 ey biological properties, including divisive normalization and stimulus-modulated noise variability,
54  package provides an integrated workflow for normalization and transformation of miRNA and PCG expres
55 his, we present a modeling framework for the normalization and variance stabilization of molecular co
56 R-Ras, a small GTPase important for vascular normalization and vessel stability, is transcriptionally
57 g techniques (linear registration, histogram normalization, and contrast-limited adaptive histogram e
58 ssion for the integration kernel in divisive normalization, and show that divisive normalization quan
59 hted FLAIR scans (adjusted P = .003 [z score normalization] and adjusted P = .002 [histogram matching
60 multiple bioinformatics tools including data normalization, annotation, categorization, visualization
61                         Most existing global normalization approaches are ineffective to correct for
62 pericytes and endothelial cells for vascular normalization, are proving to effectively deliver therap
63                   It is unknown how weighted normalization arises from a recurrent circuit.
64                            It is unknown how normalization arises from recurrent amplification.
65 or analysis reveals named entity recognition/normalization as the largest source of errors (26.9%), f
66 mputational model that incorporates divisive normalization, as well as narrower top-down gain (that c
67  the first 2 months of exercise with partial normalization at 3 months in both transgenic and WT anim
68            Understanding the implications of normalization at the population level is hindered by the
69         alona can perform quality filtering, normalization, batch correction, clustering, cell type a
70 t qDRIP avoids biases inherent to read-count normalization by accurately profiling signal in regions
71 ickness were conducted both with and without normalization by ICV.
72                    Finally we mimic vascular normalization by modifying parameters, such as vascular
73 ling, standardizing using z-score and vector normalization by visualizing the normalized data set and
74 er the completion of neoadjuvant therapy; 3) normalization (CA19-9 <35 U/dL) of preop CA19-9; and 4)
75                                       Stroma normalization can further increase the efficacy of immun
76 this perspective, we provide a framework for normalization cancer immunotherapy in the context of mel
77 cially within the tumor microenvironment, as normalization cancer immunotherapy.
78 thods, MatchMixeR achieved the highest after-normalization concordance.
79           However, Nobias extraction with Tl normalization constitutes an attractive alternative as,
80                   Although preprocessing and normalization contributed to variability in gene detecti
81 e mass spectrometry-based strategies lacking normalization controls.
82 y used post-acquisition strategies and found normalization could not strengthen the annotation accura
83 tated metabolites was evaluated post various normalization, data transformation and scaling.
84 y applicable R code covering transformation, normalization, dimensionality reduction, clustering, and
85 atus quo bias, time inconsistency and social normalization), discuss how these concepts have been add
86 us in untreated patients with BD, and 3) the normalization effect of Li on gray matter volumes.
87 eks until human chorionic gonadotropin (hCG) normalization, followed by 3 consolidation cycles.
88  P = 0.0032 determined by Tukey's test (with normalization for test-day instrument baseline).
89             Although drugs inducing vascular normalization, for example, angiopoietin-2 (Ang2)-blocki
90 can be used to optimize dosing, and the same normalization framework is applicable to other types of
91 ration, the tool also provides reliable data normalization functions and quality metrics along with v
92 ct as the channels for Li transportation and normalization growth.
93                                          SIL normalization had a larger influence on the dilution ser
94 tasets having both reads and UMIs, quasi-UMI normalization has higher accuracy than competing methods
95                                     Divisive normalization has long been used to account for computat
96               Despite its ubiquity, divisive normalization has not been studied in decisions that req
97 ore recently, dynamical versions of divisive normalization have been shown to account for how neural
98                                              Normalization improved the overlap between the region of
99 ed for an efficient and unified approach for normalization, imputation and batch effect correction.
100 ient, integrated solution for global scaling normalization, imputation and true count recovery of gen
101 e appropriate reference genes for transcript normalization in buffalobur, which will be helpful in fu
102           Overall, qDRIP allows for accurate normalization in conditions where R-loops are perturbed
103              Furthermore, the importance for normalization in critical data sets, showing only minor
104 attributable to specific choices surrounding normalization in defining StatDns or to the logic underl
105 ers was shown to effectively induce vascular normalization in some types of cancer.
106 stationary phase euploid cells were used for normalization in transcriptomic studies.
107 mental evidence supports the hypothesis that normalization in V1 operates via recurrent amplification
108 lytical method, persistent association-based normalization, in which the multiplicity of prey (MOP) r
109 pileptogenic zone, and postoperative rs-fMRI normalization is a biomarker for SOZ quiescence.
110                                              Normalization is a crucial step before the differential
111                                              Normalization is an indispensable step of data analysis
112  this begins to normalize with time and this normalization is concurrent with the delayed development
113                                       Proper normalization is required prior to data analysis to gain
114        2) Experiments have demonstrated that normalization is weighted such that each weight specifie
115                 These graphics have detected normalization issues, differential expression designatio
116  that our new visualization tools can detect normalization issues, differential expression designatio
117 s of the protocol are data preprocessing and normalization, joint factorization, quantile normalizati
118                       Here we propose that a normalization mechanism that operates in a cortical regi
119 this functional organization together with a normalization mechanism would generate a representation
120 on of multiple stimuli can be explained by a normalization mechanism.
121 a-based scoring algorithm and a named entity normalization method (NEN).
122                                          Our normalization method aims to find a group of relatively
123 ts per million (TPM) was the best performing normalization method based on its preservation of biolog
124                     We demonstrate that this normalization method enables creation of calibration cur
125            The traditional reads per million normalization method is inappropriate for the evaluation
126 f RNA sequencing (RNA-seq) abundance using a normalization method that calculates transcripts per mil
127       ChIPseqSpikeInFree is a novel ChIP-seq normalization method to effectively determine scaling fa
128  to compare the persistent association-based normalization method to standard ways of assessing phago
129                      We developed a new data normalization method, called S3norm, that normalizes the
130 ated to data processing and analysis such as normalization method, cut-off criteria, software setting
131                            We proposed a new normalization method, labeled MIXnorm, for FFPE RNA-seq
132 ix-analyte ratio, and matrix application and normalization method.
133 ine learning (ML) is choosing an appropriate normalization method.
134 y investigate the influence of gene subsets, normalization methods and prediction algorithms.
135  present two tests to assess the validity of normalization methods applied to a large-scale data set
136                          To counteract this, normalization methods are standardly applied with the in
137        In this normalization step, different normalization methods can be chosen to optimally preproc
138                     Further, we develop data normalization methods for accurate prediction of myelin
139                       Several cross-platform normalization methods have been developed to remove the
140       Here, we examine the effect of various normalization methods on analyzing FPKM upper quartile (
141           The results presented for multiple normalization methods suggest that all measurable quanti
142                            However, existing normalization methods typically try to adjust counts on
143                                Regardless of normalization methods, a support vector machine (SVM) mo
144 nce of our empirical Bayes method over other normalization methods, and over commonly-used methods fo
145              Additionally, for each of these normalization methods, we use two different normalizatio
146 nce mapping, three quantification, and seven normalization methods.
147                 We compare three most common normalization methods: scaling, standardizing using z-sc
148                                          The normalization model has been applied to explain neural a
149                                          The normalization model provides an elegant account of conte
150                   Despite the success of the normalization model, there are three unresolved issues.
151 l stimuli can be accounted for by a divisive normalization model.
152 lts thus suggest a novel functional role for normalization, namely, modulating response variability.
153  of extract components, and methods for dose normalization need to be thoroughly reported.
154 one must consider the computations including normalization occurring along the hierarchical visual pa
155 nce found with overlapping stimuli is due to normalization occurring at an input stage fed to MT, and
156                                     However, normalization of acid exposure occurred in about 50% of
157                        We have reported that normalization of adiponectin levels during late gestatio
158 ce of generating ratio images, or indeed the normalization of AFM-IR spectra, should be approached wi
159 al benefits of GDNF were associated with the normalization of anatomical alterations accompanying chr
160 iciency virus (HIV) status and likelihood of normalization of any measure.
161 n = 10) and persisted for decades except for normalization of Bb, MBL, and CD59 in late chronic mtTBI
162 not respond to gene augmentation, but showed normalization of BEST1 channel activity following CRISPR
163                                   Subsequent normalization of BG levels restored absolute tracer upta
164               Following neoadjuvant therapy, normalization of CA19-9, rather than the magnitude of ch
165     However, treatment with PRRT resulted in normalization of calcium and calcitriol levels, strongly
166 d in reversal of the molecular phenotype and normalization of calcium-handling abnormalities.
167 er endovascular treatment and improvement or normalization of cerebral circulation time CTT).
168 hat early cerebral overgrowth is followed by normalization of cerebral volumes.
169 sit that persists on final follow-up despite normalization of CFT.
170 in cognitive and anxiolytic behavior and the normalization of changes in CNS anatomy that underlie ch
171     MAnorm2 uses a hierarchical strategy for normalization of ChIP-seq data and assesses within-group
172 inical benefit of B(regs) is associated with normalization of CNS immune milieu and concurrent activa
173 provement at follow-up was associated with a normalization of cortical excitability, which in turn su
174                            Hazard ratios for normalization of CSF or serum measures were determined u
175                 The relationship between the normalization of CSF WBC counts and CD4+ T cell counts m
176                     The relationship between normalization of CSF WBCs and CD4+ T cell count may indi
177 of supplemental oxygen requirements and near normalization of daily activities.
178 lesterol was diverted to the ER resulting in normalization of de novo cholesterol synthesis.
179 the synergistic effect of homogenization and normalization of electrodeposited Li, the obtained plana
180 e decreases in T(H)2/T(H)22 polarization and normalization of epithelial abnormalities.
181 nd that disease pathology can be reversed by normalization of excess oxygen, suggesting that certain
182 ent that they induce, indicating that social normalization of extreme conditions rather than adaptati
183 ever, little attention has been given to the normalization of FFPE RNA-seq data, a key step that adju
184                                 The trend to normalization of gait velocity following a period of imp
185 s between the low and high doses, and showed normalization of grey and white matter imaging parameter
186 utcomes, such as symptom persistence despite normalization of histologic features and symptom resolut
187 rypts may be involved in the pathogenesis of normalization of hyperglycemia caused by the tacrolimus.
188 ng-term betaine treatment with a concomitant normalization of inflammatory cytokine expression and a
189 ed as early as 2 weeks and approximately 70% normalization of lesional gene expression after 4 weeks.
190 ulation, homogenization of Li nucleation and normalization of Li growth can be achieved on PNIPAM pol
191 ven among patients who experience a complete normalization of LV ejection fraction, a significant pro
192 c neural hyperactivity that persists despite normalization of LVEF.
193              Resolution of ME was defined as normalization of macular thickness on OCT.
194 born to obese mice were largely prevented by normalization of maternal adiponectin levels in late pre
195 ed metabolic pathways of the heart; however, normalization of metabolite abundance to sample input in
196  insoluble protein-derived glutamate for the normalization of metabolites within each sample and incl
197 limitations in the current literature on the normalization of microbiome data.
198 y increased in rats fed KE-2 diet along with normalization of myocardial ATP levels to sham values.
199 , leading to recovery of KCa3.1 function and normalization of neuronal excitability.
200 of competitive receptor binding and suggests normalization of OSN ensemble responses to odorant mixtu
201 of elevated pERK1/2 signaling results in the normalization of osteoprogenitor proliferation with a co
202 tainty); and 5) we suggest NIV with targeted normalization of Pa(CO(2)) in patients with hypercapnic
203 8-fold in 48-hour-fasted lean rats, and this normalization of plasma leptin concentrations stimulates
204   We also observed an OLT1177 dose-dependent normalization of plasma metabolic markers of AD to those
205 visual response gain and largely account for normalization of population responses over a range of vi
206 on (CA19-9 <35 U/dL) of preop CA19-9; and 4) normalization of postop CA19-9.
207 tations, regression of amyloid deposits, and normalization of proinflammatory and anti-inflammatory c
208                                   Therefore, normalization of rat:human organ sizes and correction fo
209 acking UMIs, we propose quasi-UMIs: quantile normalization of read counts to a compound Poisson distr
210      This research provides HKG for accurate normalization of RT-qPCR data in the southern corn rootw
211 of VDR null mice (KO/TG mice) results in the normalization of serum calcium and rescue of rickets.
212 T resulted in a morphological response and a normalization of serum calcium levels, confirming the hy
213                                              Normalization of single-cell RNA-sequencing (scRNA-seq)
214 ic skin and joint phenotypes are reversed by normalization of skin KLK6 levels and attenuated followi
215                                        Also, normalization of striatal mGluR5 to control levels was a
216                             We recommend the normalization of target gene expression under different
217 the rapid dissolution of SGs, accompanied by normalization of TDP-43 ubiquitylation and solubility.
218                                        MPH's normalization of thalamo-accumbens connectivity (reduced
219 n of pain was 5 days, and the median time to normalization of the CRP level was 7 days.
220 onse, increased synthesis of growth factors, normalization of the cytoskeleton and mitosis.
221 howed an unexpected and practically complete normalization of the ECG abnormalities (their QTc shorte
222                                     However, normalization of the embedding could suffer from over-co
223 ot sufficient to account for the homeostatic normalization of the MFR.
224                                              Normalization of the microenvironment by exercise may pr
225 acizumab were 1.55 times as likely to have a normalization of the platelet count as those who receive
226                           The median time to normalization of the platelet count was shorter with cap
227          The primary outcome was the time to normalization of the platelet count, with discontinuatio
228                                       Graded normalization of the postoperative resting-state SOZ was
229 ution of different Faddeev components in the normalization of the relativistic three-body wave functi
230                        Our results suggest a normalization of the same parameters at the resolution s
231 ity in the amygdala-prefrontal networks, and normalization of this aberrant function is thought to be
232                             We proposed that normalization of TME using antiangiogenic drugs and/or m
233                                              Normalization of tumor extracellular pH (mean, 6.96 +/-
234                       We study the impact of normalization on differential abundance analysis.
235 mited ability to interpret the effect of the normalization on the embedding space.
236 of feature attention, spatial attention, and normalization on the responses of each neuron.
237 le stimuli, rather than considering response normalization only within the area of interest, one must
238 -seq data apply pre-processing steps such as normalization or imputation to account for excessive zer
239 mpensation technique that exploits the batch normalization parameters to improve the accuracy retenti
240 To monitor instrument stability and evaluate normalization performance, quality control (QC) samples,
241                  To allow for easy access to normalization pipeline for biomedical researchers we imp
242                                              Normalization plays a key role in several important comp
243  errors throughout an analytical assay, data normalization plays an indispensable role in untargeted
244 fies how one neuron contributes to another's normalization pool.
245 ns, which differ in the composition of their normalization pools and semi-saturation constants.
246 nt role for auditory contrast enhancement in normalization: preceding context affects listeners' perc
247             We developed a 3D Zernike moment normalization procedure to orient electron density volum
248 nteractome capture with a whole-cell extract normalization procedure.
249                     We tested various RNASeq normalization procedures and concluded that transcripts
250                                      Current normalization procedures such as log of counts per milli
251 incorporating the phylogenetic tree into the normalization process.
252 visive normalization, and show that divisive normalization quantitatively accounts for 133 human part
253 , -44.3 [95% CI, -71.9 to -21.1]; P = .001); normalization rate at 1 year (80.0% in the transplantati
254         A bump attractor model with divisive normalization replicates the properties of the neural da
255 tionality of feature extraction, clustering, normalization, selection, dimensionality reduction, pred
256 itatory stimulus drive) and denominator (the normalization signal).
257                                     As such, normalization significantly improves the repeatability o
258 ted thermal response of H(2)O as an internal normalization standard for 2D-IR spectra.
259               Most existing methods for data normalization standardize signals by rescaling either ba
260                In most existing methods, the normalization step is performed prior to the DE analysis
261                                      In this normalization step, different normalization methods can
262 g the scaling factors that are needed in the normalization step.
263         In this Perspective, we describe TME normalization strategies that have the potential to simu
264 (P < 0.05; fold-change >2) based on multiple normalization strategies, and were validated by RT-qPCR.
265 arious metrics were used to compare distinct normalization strategies, with reduction of variation in
266  normalization methods, we use two different normalization strategies: normalizing samples (files) or
267  to quantify gene expression, an appropriate normalization strategy is warranted to control for the n
268                                We employed a normalization strategy to dissect the cross-linking reac
269 pleted in melanoma compared to the nevi as a normalization strategy, we developed a model that classi
270 due to spatial attention are correlated with normalization strength, those due to feature attention a
271  methodology relies on a novel network-based normalization technique and a two-stage zero-inflated mi
272 ed phenotype prediction benefits from proper normalization techniques and state-of-the-art regularize
273                         In contrast to other normalization techniques, it properly handles the Hi-C-s
274 his work, a systematic comparison of several normalization techniques, mainly focusing on internal st
275 ments and metadata, including batch effects, normalization, temporal dynamics (temporally differentia
276 erimental protocol with appropriate spike-in normalization that confirms our theory and provides accu
277 o identifies a sensitivity issue in spike-in normalization that has not been considered in the litera
278  However, most ChIP-seq studies overlook the normalization that must be corrected with spike-in.
279 of transcript abundance relies strongly on a normalization that requires the use of reference genes t
280 cular ejection fraction increase by >=10% or normalization to >=50%).
281 system and energy expenditure, are in fact a normalization to a lower body weight and not drivers of
282 zky-Golay smoothing, baseline correction and normalization to Amide-I band (~ 1650 cm(-1)).
283 rrelial load was also monitored and used for normalization to evaluate expression levels.
284 ng WBE results between cities often requires normalization to population size, and inaccuracy in the
285  metabolites within each sample and includes normalization to protein-derived amino acids to reduce b
286 d using either a Pb double spike or external normalization to Tl for mass bias correction.
287 quantified for each insoluble fraction, with normalization to total homogenate protein.
288 pensatory mechanism that drives relapse or a normalization towards a lower body weight, and to explor
289                                         Such normalization using qDSB-Seq is especially useful for th
290 ises coupled neural integrators to implement normalization via recurrent amplification with arbitrary
291                               Probability of normalization was not associated with disease stage, FIG
292 d surgery, followed by postoperative rs-fMRI normalization was significantly (p < 0.001) correlated w
293                                  Rate of hCG normalization was the primary endpoint (2-step Simon des
294 and the evolution of functional vasculature "normalization" was resolved macroscopically.
295 gh interexperiment variability, the need for normalization, waste of materials, and significant consu
296 n via recurrent amplification with arbitrary normalization weights, some of which can recapitulate ke
297 % micro-averaged F1 score on the task of ADR normalization, while rule-based system achieved 67.4 and
298  direction of boundary extension (BE), while normalization will produce bidirectional transformations
299 eparated stimuli can largely be explained by normalization within MT.
300 s in schizophrenia during ToM, and that this normalization would correlate improvement in ToM behavio

 
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