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1 odels, particularly T cell responses, remain sparse.
2     Data on subsequent diagnostic workup are sparse.
3 d data on multiple outcomes of interest were sparse.
4 diagnostic evaluation of ischaemic stroke is sparse.
5 c diseases in preschool-aged children remain sparse.
6  among transgender women from the region are sparse.
7 dge of human B-cell alterations in sepsis is sparse.
8 ibitor-mediated breast cancer prevention are sparse.
9 e that cortical odor representations are not sparse.
10 hyperactivity to PTSD hyperresponsiveness is sparse.
11 n integrative gene set level is considerably sparse.
12 nfluenza A(H7N9) viruses (group 2NA) remains sparse.
13 l of maternal asthma and offspring asthma is sparse.
14 particularly those that are wide-ranging and sparse.
15 climate through changes in the atmosphere is sparse.
16 ature on treatment of cancer-related PTSD is sparse.
17 C activity are temporally and geographically sparse.
18 al and post-transcriptional modifications is sparse.
19  and analyses incorporating EOC subtypes are sparse.
20  within defined developmental stages remains sparse.
21 dysfunction in preterm subjects, however, is sparse.
22 ove throughput at these facilities have been sparse.
23 nction in patients with incisional hernia is sparse.
24 ny hominins in subequatorial Africa was very sparse.
25 e sensitivity of rod vision when photons are sparse.
26 vidence for preventive interventions remains sparse.
27  the dynamics of social contagion in them is sparse.
28 use in patients with ARDS remains relatively sparse.
29 -100 m+), distributional information remains sparse.
30 ive species on bacterial communities remains sparse.
31 T regulation of DA neurons within the VTA is sparse.
32 effects, particularly for oils and fats, are sparse.
33                        Data on treatment are sparse.
34 nts' electronic health records (EHRs) remain sparse.
35  Resonance Imaging (MRI), remains relatively sparse.
36 2) within 11%) where NO2 monitoring data are sparse.
37 hort studies; however, data in nonwhites are sparse.
38 g during sleep is essential for establishing sparse activation patterns that reflect the causal neuro
39 ithin the dentate gyrus at time points where sparse activation was compromised.
40      We found that Kenyon cells (KCs), whose sparse activity encodes sensory information, each make m
41 that expansion and correlations, rather than sparse activity, are the major determinants of pattern s
42                     Furthermore, through the sparse addition of rigid microtubule filaments, one can
43 ied by massive amplification in the normally sparse, afferent stimulation-induced activation of hippo
44 latiles and found that strong responses were sparse; aldehydes/ketones were the most efficient stimul
45 typing offers a promising way to convert the sparse and complex data into meaningful concepts that ar
46                                    There are sparse and conflicting data regarding the long-term clin
47         Single-cell regulome data are highly sparse and discrete.
48 rom mice of either sex to inform modeling of sparse and filopodia-bearing mossy fibers, finding that
49            However, the existing evidence is sparse and findings are inconsistent within and across s
50  (MADM)-based genetic paradigms enabling the sparse and global knockout with unprecedented single-cel
51 l forest inventories in tropical regions are sparse and have large uncertainty in capturing the physi
52 ting that the L5B corticothalamic pathway is sparse and highly parallelized.
53 ood cerebral form, but results in adults are sparse and inconclusive.
54 er, epidemiological studies on the topic are sparse and inconsistent.
55 studies of the transport mechanism have been sparse and indirect.
56 owever, high-quality evidence for its use is sparse and limited to use of oral dosing.
57 studies on botulism treatment are relatively sparse and of low quality.
58 aptic recruitment of young neurons generates sparse and orthogonal AP firing, which may support spars
59 BCs plays an even stronger role in achieving sparse and reproducible neuronal activity, while comprom
60                   But human knowledge is too sparse and self-contradictory to be embedded in "intuiti
61 a widespread cortico-subcortical network via sparse and somatotopically organized parallel pathways.
62  poor noise processors, while those that are sparse and strongly directional process noise well.
63    However, surface observations of HCHO are sparse and the EPA monitoring network could be prone to
64 ons, work on triply charged negative ions is sparse and the search for the smallest trianion that is
65  to local MSN collaterals that provided only sparse and weak inhibitory input to their neighboring MS
66 e; this implies that (b) data are relatively sparse and, indeed, precisely the same situation may nev
67 be generalized for setting these centers are sparse and, when known, are typically predicated on the
68 erstood as regional paleoclimate records are sparse and/or provide conflicting perspectives.
69                Head-to-head comparisons were sparse, and network meta-analysis estimates were impreci
70  importance of free guanidine in biology are sparse, and no biological receptors that specifically re
71 or bleeding and perioperative management are sparse, and recommendations are largely derived from exp
72 ble literature is still relatively small and sparse, and the long-term safety and efficacy of these i
73  the superior colliculus (SC) contained only sparse anterograde label.
74 rectional antennas that were configured as a sparse array in order to reduce the commonplace issues o
75 epresent their information content through a sparse assembly code.SIGNIFICANCE STATEMENT We analyze e
76       Simulations of this model predict that sparse assembly codes emerge in this microcircuit motif
77 ategy based on tf-idf weighted MinHash and a sparse assembly graph construction that avoids collapsin
78 cceptor sites accurately and quickly, a deep sparse auto-encoder model with two hidden layers, called
79                                 However, the sparse availability of experimentally determined GPCR/li
80 h a systems-based method, which constructs a sparse Bayesian direct multimorbidity map (BDMM) by syst
81 pplication of recent statistical theory in a sparse Bayesian modelling framework.
82 er, because direct environmental sampling is sparse before the mid-1950s.
83 his non-specific plasticity when the applied sparse binary input patterns are degraded by local noise
84  is based on chemical similarity rather than sparse biochemical knowledge annotations.
85 e that if the cortical activity is spatially sparse, both cortical and subcortical sources can be res
86                                        These sparse but robust observations pose a problem in that th
87      Data for direct costs of this event are sparse but suggest that a stillbirth needs more resource
88  Data from newly industrialized countries is sparse, but suggests that appendicitis is rising rapidly
89                     In this context, we used sparse canonical correlation analyses (sCCAs) to determi
90 uding linear discriminant analysis (LDA) and sparse canonical correlation analysis (CCA) were used to
91 ariate techniques such as various structured sparse canonical correlation analysis (SCCA) algorithms
92                                              Sparse canonical correlation analysis (SCCA) can discove
93                                              Sparse Canonical Correlation Analysis (SCCA) has been a
94  an analytical framework, based on three-way sparse canonical correlation analysis (T-SCCA), to explo
95 propose a novel temporally constrained group sparse canonical correlation analysis (TGSCCA) framework
96                                Specifically, sparse canonical correlation analysis was conducted on 3
97 del, leaving open the possibility that other sparse choices of explanatory features fit virtually equ
98 veloped chromVAR, an R package for analyzing sparse chromatin-accessibility data by estimating gain o
99 xhibited stratified squamous epithelium with sparse cilia.
100 a genome has split into dozens of tiny, gene-sparse circles that sometimes reside in distinct Hodgkin
101  features to be sharpened and represented by sparse codes.
102 oom body circuitry (random connectivity [7], sparse coding [8], and synaptic plasticity [9, 10]).
103                                    Using the sparse coding algorithm, we also perform natural image p
104 we report the experimental implementation of sparse coding algorithms in a bio-inspired approach usin
105  and orthogonal AP firing, which may support sparse coding during hippocampal information processing.
106 s through distinct computational mechanisms: sparse coding in granule cells and changes in firing fie
107                                              Sparse coding is also believed to be a key mechanism by
108  we propose a novel theory called mixture of sparse coding models, inspired by the formation of categ
109  cortex may be closely related to mixture of sparse coding models.
110 atial tuning of neural activity and impaired sparse coding of information, and deficits in the tempor
111 al network that constructed a mixture of two sparse coding submodels on top of a simple Gabor analysi
112 lations of predictive coding, robust coding, sparse coding, etc.), differing in their regimes of appl
113 cranial large-vessel occlusion/stenosis with sparse collaterals showed hypoperfusion by both of the t
114 ke patients who had obvious MRA lesions with sparse collaterals, those with abundant collaterals woul
115                                          The sparse comorbidity map confirmed that depressed patients
116                           Proper analysis of sparse compositional microbiome data is challenging.
117                       Loading alumina with a sparse concentration of Ln-dopants suggests that the dop
118 ts within human protein complexes we learn a sparse conditional dependency graph from approximately 3
119 l connectivity dynamics are characterized by sparse connections, nonstationarity, switching dynamics,
120 ch those observed anatomically, showing that sparse connectivity is sometimes superior to dense conne
121 n, visuomotor-related FC is characterized by sparse connectivity with density <10%.
122 igh synaptic gain, small dendritic trees and sparse connectivity, neighboring young neurons are activ
123                          KEY POINTS: Despite sparse connectivity, population-level interactions betwe
124                           We identified 9421 sparse conserved under-methylated CpGs (scUMCs) from 31
125 ropland maps, but approximately 40% less for sparse cover types).
126 olecular interactions using high-dimensional sparse data as well as to adjust confounding factors, wi
127                                We use photon-sparse data from two different experimental systems, one
128                          Limitations include sparse data leading to large intervals on key model para
129                          Limitations include sparse data on key model parameters and necessary simpli
130                           However, there are sparse data on the association of CAC with subsequent ri
131 devices to CRT is increasing, there are only sparse data on the outcomes of upgrade procedures compar
132 ic resonance (MR) imaging sequence featuring sparse data sampling with iterative reconstruction (SSIR
133  species tested, even in unevenly spaced and sparse data sets.
134         Single-cell ATAC-seq (scATAC) yields sparse data that make conventional analysis challenging.
135 ded per pixel is of order unity, i.e. photon-sparse data.
136  paper proposes a novel Regularized Low Rank-Sparse Decomposition (RegLRSD) algorithm.
137 mage correction method based on low-rank and sparse decomposition which solves both issues.
138 el painting's stratigraphy by exploiting the sparse deconvolution, without which terahertz reflectome
139 of water-soluble compounds into biologically sparse deep water by 55%, while decreasing the flows of
140       These identified connections result in sparse, directed functional networks that are stable ove
141 proposed algorithm, expectation-maximization sparse discriminant analysis (EM-SDA), produces a sparse
142 d with nearest shrunken centroids (NSCs) and sparse discriminant analysis (SDA) with k-nearest neighb
143 vel score showed the best agreement with the sparse disease network.
144                                 We show that sparse distance constraints from imino resonances, which
145           In this study, we demonstrate that sparse DNA sequencing of single-cell nuclei from prostat
146 r, this intuitive hypothesis is supported by sparse empirical evidence, and most underlying mechanism
147                                           In sparse epithelial regions in which cells divide, Piezo1
148 y inflammation and the airway microbiome are sparse, especially in subjects not receiving anti-inflam
149 of Southeast Asia and Australia, has yielded sparse evidence for the symbolic culture of early modern
150 nic diseases remains uncertain, and there is sparse evidence regarding biological actions and pathway
151 d on thermodynamic models, relying on a very sparse experimental data base.
152 based on thermodynamic models rely on a very sparse experimental data base.
153 ons of excitatory cortical neurons, but only sparse expression was observed in excitatory hippocampal
154                   We present a fast Bayesian sparse factor model, which takes input gene expression a
155 e metabolic content across samples result in sparse feature matrices that are statistically hard to h
156 g, primarily because the observable data are sparse, finite and noisy.
157 ial remapping of mossy cells, in contrast to sparse firing of granule cells, suggests differential in
158                      Granule cells exhibited sparse firing, had a single place field, and showed only
159 s observational data at cruise altitudes are sparse for engines burning conventional fuels, and no da
160 rsist either complete (for FindNeighbour) or sparse (for FindNeighbour2) distance matrices given a se
161 1-0.87, p=0.014), with the presence of young sparse forest (0.35, 0.20-0.63, p=00040) and rice paddy
162 s separation from Gondwana, but the family's sparse fossil record provides few insights.
163 proach for clustering longitudinal profiles, sparse functional principal components analysis, was use
164 t of ice cover during glacial intervals with sparse geological observables.
165  beneficial to compute both the full and the sparse GMEC accurately and efficiently.
166 the energy, conformation, or sequence of the sparse GMEC vs. the original or the full GMEC.
167 es, and the corresponding GMEC is called the sparse GMEC.
168                           In epileptic mice, sparse granule cell activation could be restored by glut
169 haracterized by poikiloderma, small stature, sparse hair, skeletal abnormalities, increased risk of o
170 e-unit recording evidence for such a role is sparse, however, and it remains uncertain how that role
171    The polypeptide backbone forms transient, sparse hydrogen-bonded turns and remains significantly h
172 lopmental stages, glutamatergic synapses are sparse, immature and functionally 'silent', expressing m
173 enes alternate with those rich in POU3F1 but sparse in genes, reflecting the clustering of regulatory
174 TION: Although robust prevalence studies are sparse in low-income and middle-income countries, elder
175 derstood because experimental data are still sparse in that regard.
176 nts that provide compact representations for sparse in vivo data and transparent descriptions of deve
177                            Here I review the sparse information on polyploidy and community context a
178 g on this insight, we develop a hierarchical sparse inverse solution for M/EEG.
179                Our new droplet-based method, sparse isoform sequencing (spISO-seq), sequences 100k-20
180 although endogenous islet ACE2 expression is sparse, its inhibition abrogates angiotensin-(1-7)-media
181  liver stage of infection, yet there remains sparse knowledge of specific host regulators.
182  phenotypes in the ontology and leverage the sparse known associations with additional training infor
183                     A clear advantage of the sparse labeling approach is demonstrated for the cytosol
184 ificial Chromosome (BAC) transgene to direct sparse labeling of genetically-defined neuronal populati
185 ng neuronal activity and for high-efficiency sparse labeling of neuronal populations.
186 range of approximately 10,000-fold, enabling sparse labeling of proteins expressed at different abund
187 for suppressing multispin effects in PELDOR, sparse labeling of the protein (reducing the labeling ef
188                                              Sparse latent factor models, assuming activity of transc
189 e discriminant analysis (EM-SDA), produces a sparse LDA model for datasets with and without missing d
190                                              Sparse lens materials form via low-valence linkages betw
191 clei and the intercalated nuclei contained a sparse/light concentration of 5-HT fibers.
192 maturation of stem cell-derived clones using sparse lineage tracing in the regenerating mouse olfacto
193 sed proximity queries that take advantage of sparse local proximity information.
194 is dramatically up-regulated at discrete and sparse locations within the Golgi.
195 nfiltrate, while the original study observed sparse lymphocytic infiltrate in IgG-treated tumors and
196  Information on Marinimicrobia metabolism is sparse, making the biogeochemical influence of this grou
197  abundance data as a superposition between a sparse matrix and a low-rank matrix, which account for t
198 eover, an efficient algorithm to extract the sparse matrix is proposed.
199 ting material functionality across dense and sparse matter regimes.
200 t robust whole genome Bayesian NMF using the sparse, MCMC algorithm, CoGAPS.
201  dual-pathway requirement likely enables the sparse mitral/granule cell interconnections to develop h
202 or biological or medical studies: learning a sparse model, where only a subset of a large number of p
203 mposite measurements; (2) that by leveraging sparse, modular representations of gene expression, we c
204    SmartScope2 takes advantage of a neuron's sparse morphology to improve imaging speed and reduce im
205  which animals execute precise actions using sparse motor networks, we imaged the activity of a compl
206 structures, likely to be endosomes, and with sparse multivesicular bodies and lysosomes found in our
207 en IMG and USMG surgeon status using optimal sparse network matching with balance.
208                   To turn this into a useful sparse network, thresholding is typically adopted to can
209 s are more SSC than undirected networks, and sparse networks are typically more SSC than dense networ
210 f network degree distribution in large ultra sparse networks.
211 infer the structure of a neural circuit from sparse neural recordings, using partial knowledge of its
212                                              Sparse neuroligin deletions produced phenotypes comparab
213 ranslation of the reporter protein hence the sparse neuronal labeling.
214 re mapped in the superior colliculus using a sparse noise stimulus while the monkeys alternated fixat
215                            For some neurons, sparse noise was presented dichoptically to probe for an
216 lustering to better identify substructure in sparse, noisy data; and automated model inference method
217  fast online active set method to solve this sparse non-negative deconvolution problem.
218 chemical shift dispersion lies in the use of sparse non-uniform sampling (as low as 2 %).
219                                     Although sparse observational studies have suggested a link betwe
220 on and classification using high-dimensional sparse omics data.
221                                     Data are sparse on long-term mortality after coronary artery bypa
222 risingly, basal ganglia regions that receive sparse or no VTA dopaminergic innervation, including the
223 disgranular, and granular insular areas were sparse or nonexistent in areas 32 and 32V, with progress
224 Analysis Consortium (CPTAC) and utilized the sparse overlapping group lasso (SOGL) method, a new mech
225 tly correlated to FRAP, DPPH, and TPC, while sparse (p<0.05) correlations were obtained with Fe(2+)-c
226 ilies screened, we identified four recessive sparse panicle mutants (spp1-spp4) characterized by redu
227          To identify the gene underlying the sparse panicle1 (spp1) phenotype, we performed bulked se
228                              The nonnegative sparse parallel factor analysis indicated a complex late
229 analysis for 3-dimensional data (nonnegative sparse parallel factor analysis) was used to extract lat
230 imensional data, we developed a new Debiased Sparse Partial Correlation algorithm (DSPC) for estimati
231                  A multilevel, within-group, sparse partial least squares analysis of covariation of
232                                              Sparse partial least squares, a variable selection appro
233 tmortem studies, whereas in vivo studies are sparse, particularly at the subcortical level.
234 sts of SSIs following ambulatory surgery are sparse, particularly variation beyond just mean costs.
235                      Although solid data are sparse, patients with diabetes living in tropical countr
236 roposed sparse PCA methods Fused and Grouped sparse PCA can effectively incorporate prior biological
237          In this article, we propose two new sparse PCA methods called Fused and Grouped sparse PCA t
238                                 The proposed sparse PCA methods Fused and Grouped sparse PCA can effe
239 n studies suggest that, compared to existing sparse PCA methods, the proposed methods achieve higher
240  sparse PCA methods called Fused and Grouped sparse PCA that enable incorporation of prior biological
241 umors stained diffusely for PD-L2 and showed sparse PD-L1 staining.
242 uilibration in spines and followed by global sparse photoconversion to determine spine morphologies w
243 stnatal, postsynaptic deletion of Mef2c in a sparse population of L2/3 neurons suppressed development
244 e data demonstrate critical involvement of a sparse population of nNOS-expressing interneurons in cue
245 s of Compositional Covariance) to estimate a sparse precision matrix through a LASSO prior.
246     In contrast, the transport literature is sparse, primarily applied to synthetic materials, and of
247                                              Sparse principal component analysis (PCA) is a popular t
248 of intron sequence-derived features, such as sparse profile, dinucleotide profile, position weight ma
249  edge loss in PPI networks and even discover sparse protein complexes which have traditionally been a
250 ng RNA sequencing, immunostaining and random sparse recombination, we show that Ret is expressed in a
251  for erasure coding, compressed sensing, and sparse recovery.
252  from a cohort of 272 preterm infants, using Sparse Reduced Rank Regression (sRRR) and correcting for
253                                     Data are sparse regarding which blood pressure (BP) components in
254  including the cases of networks in an ultra sparse regime.
255 osis in crowded regions and cell division in sparse regions.
256 alternating least-squares with an additional sparse regression step using elastic net (MCR-ENALS) to
257  particularly suited for model learning with sparse regulatory gold standard data.
258 opose a three-step maxdenominator reweighted sparse representation classification (MRSRC) method to c
259 weighted regularization method to obtain the sparse representation coefficients.
260 ation can enhance sparsity and obtain better sparse representation coefficients.
261                                              Sparse representation of information provides a powerful
262                                              Sparse representation-based classifier (SRC) exhibits go
263  be designed can thus be represented using a sparse residue interaction graph, where the number of in
264                Despite the widespread use of sparse residue interaction graphs in protein design, the
265 ble-based algorithms to reap the benefits of sparse residue interaction graphs while avoiding their p
266         This provides a novel way to combine sparse residue interaction graphs with provable, ensembl
267 yze the costs and benefits of designing with sparse residue interaction graphs, we computed the GMECs
268 es and sinks of H2 in various ecosystems are sparse, resulting in large uncertainties in the global H
269 d medicine where decisions are based on very sparse samples.
270 y 7 in the first 10 patients enrolled and by sparse sampling in all patients throughout treatment.
271 es remain poorly understood, in part because sparse sampling of the virosphere has concentrated mostl
272                                              Sparse, sequential patterns of neural activity have been
273 ensing matrix that is employed to compress a sparse signal.
274 urther refine the model and choose the final sparse SNPs.
275 c penalty in the model is introduced for the sparse solution, identifying group features and avoiding
276 djacent synapses degrades the recognition of sparse static patterns.
277 ovide complete code and illustrations of new sparse statistical methods for high-dimensional, longitu
278 ture of multi-organ networks by estimating a sparse subset of approximately 12,000 possible gene regu
279 over a pattern in the expression levels of a sparse subset of genes among cell types in B- and T-cell
280 g hashing for faster read overlap detection, sparse suffix arrays for creating smaller indexes, and B
281                        Our results show that sparse synaptic connectivity is essential for separating
282 e widespread, yet exhibit remarkably similar sparse synaptic connectivity.
283 ng a blind cruise search for nonregenerating sparse targets in a 2D space with steps drawn from a Lev
284                             When looking for sparse targets in a homogeneous environment, a combinati
285                           Surprisingly, such sparse tetragonal superstructure exhibits much higher th
286                  EM-SDA is more accurate and sparse than competing methods both with and without miss
287 of piriform neurons is at least twofold less sparse than currently believed.
288 than for other stimulus categories, and less sparse than elsewhere in the medial temporal lobe.
289 contrast, similar evidence for seagrasses is sparse; the present study is a contribution towards fill
290           As the literature on this issue is sparse, this study aimed to establish in these subjects
291 -range pairwise interactions in an extremely sparse three-dimensional space.
292 5 dataset, based on whole-genome data from a sparse time series consisting of 5 randomly selected iso
293 erlooks: sample size limitation arising from sparse tree distributions; stochasticity in demographic
294 e uncertainty exists for many settings given sparse underlying data.
295  mean-reverting behavior allowed us to apply sparse vector autoregression (sVAR)-a multivariate metho
296  data on these human acinar preparations are sparse, we assessed their functional integrity and cellu
297 s on pericardial fat tissue mobilization are sparse.We sought to evaluate intrapericardial-fat (IPF)
298 ility to recurrent MDD was partitioned using sparse whole-genome sequencing.
299  environments across the menstrual cycle are sparse, with mixed findings.
300 ly 3 + 0 PCV schedule with high coverage are sparse, with none for PCV13.

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