1 We validated 2 procedures for diagnosis: total-IgA and I
2 We validated (
68)Ga-DOTATATE PET as a novel marker of at
3 ral variants cannot be delineated precisely,
we validated 83% of 44 predicted transposition breakpoin
4 Using real data,
we validate a large number of predictions for long-range
5 In this study,
we validate a protocol that utilizes BMP4 and the gamma-
6 METHODS AND
We validated a 46-gene hotspot cancer panel assay allowi
7 In this study,
we validated a custom-synthesized RD3 antibody and inves
8 Following one of these associations,
we validated a drug combination predicted to overcome re
9 Finally,
we validated a few top predicted DTIs through mining ind
10 Here,
we validated a new fluorescent method using gamma-glutam
11 We validated a new oral fluid anti-glycoprotein IgG capt
12 We validated a previous model for predicting new onset C
13 We validated a representative subset of the samples (n =
14 We validated a sample of our co-location intervals using
15 man colorectal cancer xenograft mouse model,
we validated a SPECT/CT-based theranostic PRIT regimen t
16 We validated a subset of identified antigens using enzym
17 Moreover,
we validated abnormal PAAT values in 54 children with PH
18 We validate AD-LIBS polar bear ancestry maps by recoveri
19 We validate an extreme class of intron that can only spl
20 using a newly developed gfp reporter system
we validate an Hfq-dependent mRNA repression of the puta
21 Therefore,
we validated an HPLC-MS/MS method to detect 29 antimicro
22 We validate and apply this approach in the examination o
23 Here
we validate and model a system that tracks the dynamics
24 In this article,
we validate and quantify multi-protein adherens junction
25 Leveraging Hippocampome.org,
we validate and refine the relationship between axonal-d
26 We validated and demonstrated the utility of proExM for
27 We validated and further characterized the human specifi
28 We validated and trained the model against direct observ
29 We validated and we described two panels aiming to chara
30 maintenance and self-renewal programme that
we validated as Notch regulated in vivo.
31 We validated association at all nine previously describe
32 nd intraflagellar transport complexes, which
we validate biochemically, and by probing structurally p
33 We validate BRAINSPAReDT with regional genetic sympathec
34 ion with available electron microscopy data,
we validate by mutational analysis the mechanism of Cdc4
35 r proliferation in specific locations, which
we validate by overactivating beta-catenin in PGCs.
36 e granule cells and mossy cells in mice that
we validated by optogenetic tagging of mossy cells.
37 We validated by RT-PCR and Sanger sequencing, the predic
38 of their lysine acetyltransferase activity,
we validate CBP/p300 as therapeutic targets in vitro acr
39 We validate comparative predictions for xanthine derivat
40 We validated computational results through an extension
41 We validated CYCLOPS using temporally ordered mouse and
42 We validated Cyfip2 as a major genetic factor underlying
43 We validate DAMACY by using three distinct datasets: in
44 We validated DESMAN on a complex 50-species 210-genome 9
45 We validated drop-IVT2H by screening a three-random-resi
46 We validate EnsembleFBA by predicting growth and gene es
47 mportantly, using the Epac inhibitor ESI-09,
we validate Epac1 as a potential therapeutic target for
48 We validate EVmutation by comparing its predictions with
49 phate (the active form of Vitamin B6), which
we validate experimentally via multicopy suppression.
50 crophages and dendritic cells, findings that
we validated experimentally by using targeted amplificat
51 processing of pri-mir-430 transcripts, which
we validated experimentally.
52 y of I-rate in UP periods, a prediction that
we validated experimentally.
53 nes engineered by our construction strategy,
we validated five novel fusion genes involving MET, NTRK
54 Next,
we validated for suicidal behavior the top-ranked biomar
55 We validated four of these regions in an independent set
56 that detection of such levels is achievable,
we validated fSTREAM for high-resolution mapping of the
57 We validated gene expression levels via RT-qPCR and micr
58 We validate GeneImp based on data from ultralow coverage
59 We validate gland cell expression in two novel genes by
60 We validated glyoxal fixation in multiple laboratories a
61 We validated HiBS using >200 WGS samples from nine diffe
62 We validate HIF-2 as a target in ccRCC, show that some c
63 We validated HRDetect on independent cohorts of breast,
64 We validated human Agpat1 and Dgat1 mRNAs, involved in t
65 We validated hundreds of nELAVL targets among which were
66 t), we generated a CNA-based classifier that
we validated in 18 additional patients (testing set, 112
67 ional program at warm temperatures, a result
we validated in a fly line where beaf-32 is downregulate
68 Further,
we validated in vivo several key drivers and their assoc
69 We validated increased expression of multiple miRNAs, in
70 s enriched for promoter binding by Chd8, and
we validated increased neuronal proliferation and develo
71 We validate interactions based on cell and/or patient su
72 tion in shaping genomic characteristics, and
we validate it using genomes evolved under regimes of hi
73 on samples from the Tara Oceans expeditions,
we validate its applicability to taxonomic profiling and
74 We validated its prediction performance using alternativ
75 Focusing on one hit, Mtor,
we validated its role to impede differentiation in proli
76 We validate key features of the model with biochemical a
77 In summary,
we validated known and identified additional determinant
78 We validate localization and function of a VE-cadherin t
79 We validated many new pan-epicardial and epicardial mark
80 We validate mitoxantrone in orthogonal mammalian cell-ba
81 We validated model performance internally and externally
82 We validate MS-NaME by demonstrating enrichment of RARb2
83 We validated NBLAST on a published dataset of 16,129 sin
84 We validated nine cmQTL using an independent population
85 We validated noncoding DHSs against known enhancers from
86 We validated noninvasive magnetic control over neuronal
87 We validate optical actuation by virally introducing opt
88 More broadly,
we validate our approach using two other binding partner
89 We validate our conclusions in model and real networks t
90 Finally,
we validate our findings in vivo using an animal model.
91 We validate our formulae with the experimental measureme
92 We validate our framework by analysing electrocorticogra
93 We validate our gene-sets and demonstrate that by identi
94 We validate our method by imaging mouse embryonic fibrob
95 We validate our method on synthetic data against a simil
96 We validate our method using synthetic and real microbio
97 We validate our model with high-speed experiments and pr
98 Herein,
we validate our original data with a new prospective coh
99 We validate our predictions for 19 compounds using phono
100 ing commonly employed algorithms in MSI, and
we validate our results on synthetic MSI data.
101 We validate our theory against experimental results on a
102 We validated our approach by comparing the biomolecular
103 We validated our approach by using the H3S10phK14ac cros
104 We validated our approach using the Food and Drug Admini
105 hepatocytes in vivo have been published, and
we validated our approach using this control by confirmi
106 We validated our approach using three independent data s
107 We validated our data by depleting E6/E7 in relevant cel
108 We validated our experimental approach in other mouse st
109 We validated our findings by a similar analysis of DNA f
110 We validated our findings in four independent case-contr
111 Next,
we validated our findings in independent samples of inhe
112 As miR-237 is the homolog of human miR-125,
we validated our findings in MCF-7 and MDA-MB-231 breast
113 We validated our findings with two independent datasets,
114 We validated our interpretation by studying quercetin's
115 Finally,
we validated our method against the human immune disease
116 We validated our method by analyzing simulated extension
117 We validated our method by measuring HX of CBP, the intr
118 We validated our method using synthetic model DNA oligon
119 We validated our model predictions in mini-gene splicing
120 As a proof of concept,
we validated our predictions in EGFR using high-throughp
121 We validated our previous finding that circulating level
122 We validated our results by immunohistochemically confir
123 We validated our results in a xenograft model in which w
124 We validated our results in an independent set of 74 uns
125 We validated our results using a second genotype (imb211
126 We validated our system and analysis by measuring the st
127 We validated PaCeQuant by extensive comparative analysis
128 We validate phosphorylation of the dynamic switch II reg
129 We validate previous reports of protective low-frequency
130 onnected component and interactome analyses,
we validated previously reported associations and identi
131 Additionally,
we validated previously untested synergy predictions inv
132 We validated QuASIMoDOH, successfully quantifying the di
133 Using all datasets,
we validated recently identified loci associated with CA
134 We validated SE with the clinical grade HLA-A2 restricte
135 We validated select in vivo A20 targets in human and mou
136 We validated seven female-specific and two sex-associate
137 We validated seven miR-9 pri-miRNAs by in situ hybridiza
138 We validate several strategies to spatially restrict ill
139 We validated SF3B1 as a CYCLOPS gene and found that huma
140 We validate SPICER using both reaction-diffusion simulat
141 We validated sunitinib- and erlotinib-mediated inhibitio
142 We validated TaggerOne with multiple gold-standard corpo
143 We validate that Ag nanocrystals with icosahedral, decah
144 Using NOD congenic mice,
we validate that both the MHC and the chromosome 9 loci
145 We validate that GAG-Dock reproduces accurately (<1-A rm
146 Here,
we validate that SLC38A9 is an arginine sensor for the m
147 Here,
we validate that subtype-specific aberrations show conco
148 By using novel engineered DBP immunogens,
we validate that the prime targets of protective immunit
149 directly to septins at the bud neck in vivo,
we validate that the tripartite split-GFP method yields
150 Importantly,
we validated that elevating neural network activity requ
151 We validated that Foxa3 is required for HSC repopulating
152 We validated that mRNA of MEX3D (mex-3 RNA binding famil
153 We validated that the measured prior was consistent acro
154 on (RT-PCR)and in situ hybridization assays,
we validated that the Osr2(-/-) embryos exhibit signific
155 We validated that these embedded sensors provide non-inv
156 Here,
we validate the aCGH results by nuc ish and detect a wea
157 We validate the applicability of this approach to in viv
158 Finally,
we validate the applicability of this method to study me
159 We validate the approach against 62 acute myeloid leukem
160 We validate the approach on crystalline GB1, with our ex
161 We validate the association results in the replication c
162 Using whole-exome sequencing,
we validate the concordance of clonal somatic mutations
163 omatic alterations in different cancers, and
we validate the context-specific differential activity o
164 We validate the Deconvoluter resource by deconvolution o
165 We validate the differential prevalence of substructures
166 riments in human prostate cancer cell lines,
we validate the highest ranking prediction (TNRC6B) as a
167 We validate the ICP method and some other procedures usi
168 We validate the IF method by using both simulated and ex
169 We validate the importance of DNA binding specificity fo
170 In conclusion,
we validate the LoF nature of the human K326X mutation i
171 We validate the method by showing consistency with exist
172 We validate the method in a panel of cell lines under co
173 We validate the method on simulated and real data, and s
174 Lastly,
we validate the overexpression of one specific gene in t
175 We validate the pipeline first by analysis of brain regi
176 In addition,
we validate the possibility of employing LR time-depende
177 We validate the predicted transitions across discrete st
178 We validate the protocol with the aid of enumerated good
179 We validate the relevance of the prioritized genes by sh
180 field analysis and perturbation theory, and
we validate the solution through a practical design exam
181 Here
we validate the SUVR method against the gold standard vo
182 Here,
we validate the systematic collection of Internet news r
183 We validate the technique against measurements performed
184 Finally,
we validate the technology with two challenging applicat
185 We validate the theory by measuring the pH response of a
186 e retention to drive tumour progression, and
we validate the therapeutic potential of inhibiting this
187 Finally,
we validate the ubiquitous nature of urea-aromatic stack
188 We validate the use of this platform through the success
189 We validate the utility of our algorithms with extensive
190 We validated the accuracy and risk calibration of our mo
191 We validated the accuracy of the method by analyzing sim
192 We validated the accuracy of the predictions from the EP
193 We validated the algorithm and demonstrated its high eff
194 We validated the approach against established techniques
195 We validated the assay by determining kinetic properties
196 linkages and N-linked glycan branching, and
we validated the assignments by comparing results from m
197 Finally,
we validated the biological relevance of co-expression c
198 We validated the correlation in a validation set of 728
199 In this latter group,
we validated the differential expression of CCL20/macrop
200 Finally,
we validated the differential glomerular expression of s
201 We validated the direct regulation of Tbx5 on Pcsk6 usin
202 We validated the effect of GRP78-regulated metabolite ch
203 We validated the expression of these TE-lincRNAs by stra
204 We validated the functional activity of a PCRM associate
205 We validated the functional relevance of the candidate m
206 We validated the growth-inhibiting effects of specific g
207 We validated the ICON-S staging as prognostic, overall,
208 We validated the increase of caspase-6 (CASP6) in small-
209 .e., intestinal infection with H. polygyrus,
we validated the increase of total and specific IgE conc
210 We validated the method by measuring the surface tension
211 We validated the method with a wide variety of detergent
212 We validated the model by confirming the fidelity of rep
213 We validated the model in a separate set of mice in whic
214 We validated the network architecture at the molecular l
215 We validated the newly identified Notch-regulated genes
216 We validated the nomogram internally using a bootstrap p
217 We validated the packaged devices in the intact brain of
218 We validated the performance of this MSS via measuring t
219 ing a murine and macrophage infection model,
we validated the pivotal role of this response in the ex
220 We validated the power and generality of this approach b
221 We validated the practical application of the proposed m
222 Finally,
we validated the predictive power of our analysis by sho
223 We validated the predictive value of this gene set in an
224 unamplified clones from the same population,
we validated the procedure as a firm foundation for stan
225 We validated the prognostic strength of EASIX-GVHD for o
226 We validated the role of a set of vacuolar protein sorti
227 Furthermore,
we validated the role of A-FABP in promoting sFA-induced
228 Through mutational analysis,
we validated the RPN2-binding interface revealed by our
229 We validated the score in an urban community recruited i
230 We validated the sensitivity of the system and its abili
231 Additionally,
we validated the STR calls against known allele sizes in
232 We validated the technology and analyzed the oncogenic s
233 We validated the top 2 candidates in vivo as a proof-of-
234 In a prospective study,
we validated the TTG-IgA procedure and the TTG-DGL proce
235 We validated the underlying heteroplasmy and contaminati
236 We validated the underlying mechanism of PTPN23 function
237 We validated the use of the GFP reporter system by visua
238 We validated the use of the new instrumentation to both
239 We validated the utility of this method for studying the
240 We validated the workflow by correctly identifying 10 me
241 regulated with promoter hypomethylation, and
we validated their mRNA differential expressions in 19 c
242 We validate these methods on data from the cortex, hippo
243 We validate these predictions using high-resolution micr
244 We validate these predictions with stomatal opening expe
245 We validate these structural ensembles by using ChIP-Seq
246 We validate these theoretical predictions experimentally
247 We validate these tools in two model plants and use this
248 We validated these findings and found an increase in act
249 We validated these global analyses by demonstrating that
250 We validated these model predictions by observing dynami
251 We validated these pathways in primary human CD4(+) T ce
252 We validated these predictions by quantitative analyses
253 We validated these results by quantitative real-time-PCR
254 We validated these results in an independent human OS tu
255 We validated these risk scores in an independent cohort
256 We validate this algorithm on simulated data, and then a
257 We validate this approach in cell-based assays and in a
258 We validate this approach using simulated data, as well
259 is used to assess statistical confidence and
we validate this approach using simulated data.
260 Here,
we validate this electrochemical detection strategy usin
261 We validate this framework by applying it to well-known
262 We validate this functional antagonism through knockdown
263 We validate this method by assembling a human genome, de
264 Lastly,
we validate this mining approach by heterologous express
265 We validate this observation using fluorescence in situ
266 We validate this platform by measuring Bell inequality v
267 We validate this prediction experimentally, finding that
268 We validate this previously unobserved mechanism for hig
269 We validate this result by carefully combining theory an
270 We validate this result on several brain networks, from
271 We validate this technique, which we call SIP-HAVA-seq,
272 We validated this approach by targeting genes for the DN
273 We validated this approach, which only requires nucleoti
274 We validated this association in multiple independent DM
275 We validated this by studying synthetic lipid vesicles o
276 We validated this finding by cytofluorimetric analysis a
277 We validated this finding in our independent cohort of 1
278 We validated this finding in vivo using cell line xenogr
279 We validated this finding with individual-level genotype
280 mmation induced by lipopolysaccharide (LPS),
we validated this hypothesis in primary fetal sheep micr
281 We validated this method by using DNA from well-characte
282 We validated this method in a transgenic mouse model of
283 We validated this method with SOSIP trimers from HIV-1 c
284 Moreover,
we validated this model in a second prospective cohort o
285 We validated this newborn paper-based test in a cohort o
286 We validated this novel probability-based modularity app
287 We validated this observation using a range of complemen
288 Here,
we validated this reaction by identifying 5-carboxyvanil
289 We validated this strategy using cells from healthy dono
290 We validated this temporal interference (TI) concept via
291 Using site-directed mutagenesis,
we validated those surfaces in vitro and in vivo and sho
292 antitative trait loci at 35 risk loci, which
we validate through analysis of allele-specific expressi
293 xed solid- and solution-phase synthesis that
we validated through performing the first chemical synth
294 la: see text] = -10.3 +/- 0.5 kcal/mol) that
we validated through steady-state fluorescence binding a
295 Furthermore,
we validated two new transdifferentiations predicted by
296 We validated type-I interferon expression in neurofibrom
297 most differentially expressed lncRNAs, which
we validated using NanoString.
298 We validated various factorization methods on simulated
299 place-selective regions in adulthood, which
we validate with postmortem cytoarchitectonic measuremen
300 We validated ZBTB20, CELF2, PARD3, AKAP13 and WAC, which