ライフサイエンスコーパス: sparse

1 g; however, evidence supporting its value is sparse.

2 (COVID-19), but data on this population are sparse.

3 The networks of Asians and Hispanics are sparse.

4 effective treatments have been frustratingly sparse.

5 liver transplantation (LDLT) for ALD remain sparse.

6 structure of these materials are still very sparse.

7 ence exist and guideline recommendations are sparse.

8 edures for treatment of these conditions are sparse.

9 clear, since PVN leptin receptors (LepR) are sparse.

10 MBON activity vectors, when KC responses are sparse.

11 ture on living nondirected liver donation is sparse.

12 mpact of the microbiome on human immunity is sparse.

13 nstrained from direct Hg measurements remain sparse.

14 t craters are common and eolian bedforms are sparse.

15 n this part of the biosphere being extremely sparse.

16 rocessing underlying these phenotypes remain sparse.

17 orkers and in other regions in Nicaragua are sparse.

18 disease increases long-term risk of ESKD are sparse.

19 al evidence to guide the use of diuretics is sparse.

20 extensions to biological CPET reactions are sparse.

21 topsy studies of COVID-19 patients have been sparse.

22 low- and middle-income countries (LMICs) is sparse.

23 er, knowledge of the underlying mechanism is sparse.

24 set of components by the complexes has to be sparse.

25 oversial and longitudinal follow-up data are sparse.

26 decreases due to populations being small or sparse.

27 ta on this complication of immunotherapy are sparse.

28 ompromises mitochondrial performance remains sparse.

29 itness of PA-I38-substituted viruses remains sparse.

30 g the monsoons when in situ observations are sparse.

31 as the Sahel, however, its knowledge remains sparse.

32 subtle decline and intragroup communication sparse.

33 nt literature concerning this subject remain sparse.

34 Mechanistic details of this reaction remain sparse.

35 usual epibulbar lacrimal gland lesion remain sparse.

36 relative abundance) where observations were sparse.

37 ross the intact biofilm architecture remains sparse.

38 iterature supporting its inotropic effect is sparse.

39 fectiveness in adults aged over 50 years are sparse.

40 reactive for calretinin and parvalbumin were sparse.

41 Optogenetic silencing of this sparse ABN activity during REM sleep alters the structur

42 Despite their small numbers and sparse activity, adult-born neurons (ABNs) in the DG pla

43 These findings indicate that, despite their sparse activity, specific ensembles of stimulus-driven L

44 Lastly, we propose a semi-blind sparse affine spectral unmixing (SSASU) algorithm that u

45 participants had symptom networks that were sparse after controlling for temporal variation.

46 ivalent immunoreporter, confer Cre-dependent sparse and bright labeling of thousands of neurons, astr

47 However, responses were sparse and broadly tuned, which severely limited decodin

48 His hair was sparse and coarse.

49 r, the evidence supporting their efficacy is sparse and conflicting.

50 learning to rank' framework by combining the sparse and deep semantic representations.

51 on of taste qualities in GC of alert mice is sparse and distributed, analogous to the representation

52 Time-cells exhibited sparse and dynamic fields that remapped in both cases.

53 nge during film growth and heating is fairly sparse and empirical, presumably due to the lack of high

54 e synaptogenesis largely recapitulates GluD2 sparse and global knockout phenotypes.

55 on and mortality appears plausible, data are sparse and have yielded inconsistent results.

56 th improved clinical outcomes, but data were sparse and imprecise.

57 existing diploid Hi-C analyses are based on sparse and inaccurate allele-specific contact matrices,

58 parsimoniously assign signatures, leading to sparse and interpretable solutions.

59 al context to specific facial expressions is sparse and is largely based on survey-based approaches,

60 terature on this quaternary semiconductor is sparse and it has yet to be deposited and studied as a t

61 cially salient for emerging pathogens, where sparse and noisy data can obfuscate the relative contrib

62 Single-cell ATAC-seq data are sparse and noisy, and analyzing such data is challenging

63 the responses on the predictors is both row-sparse and of low-rank, and propose a group Dantzig type

64 c medical conditions (CMCs), but evidence is sparse and often combined into broad CMC categories.

65 Inspired by the sparse and random connectivity of real neuronal circuits

66 pts to engineer disease resistance have been sparse and rarely informed by evolutionary knowledge.

67 ade and retrograde labeling, we found that a sparse and relatively evenly distributed population of V

68 details of these sensory pathways are still sparse and represent a challenging frontier for further

69 They can produce targeted, sparse and strong labeling of individual neurons by modi

70 ll studies because action potentials are too sparse and the deflection response to drifting grating s

71 logically, individual-level evidence remains sparse and the risk period for pneumonia following influ

72 ween the two types of excitatory neurons are sparse, and local processing of hippocampal output signa

73 s (CNSs) in spiders, however, are relatively sparse, and no reports have yet characterized catecholam

74 the evidence base for current guidelines is sparse, and the available data do not support the 1 - 2

75 action dynamics and compartmentalization are sparse, and typically very challenging to analyze comput

76 udies in zebrafish remain constrained by the sparse annotation of functional control elements in the

77 oint AD/PD clustering using a combination of sparse autoencoders and sparse non-negative matrix facto

78 SARS-CoV-2 (COVID-19) has been scarce due to sparse autopsy performance and incomplete organ sampling

79 bird evolution is hindered by an exceedingly sparse avian fossil record from the Mesozoic era.

80 scanning electron microscopy (n = 4), and a sparse bacterial signal was detected by 16S rRNA sequenc

81 We present a novel sparse Bayesian factor model to explore the network stru

82 uld be effectively applied to overlapping or sparse BOLD patterns which are often found in DBS.

83 mporal window that coordinates CA1 SWRs with sparse but consistent activation of thalamic units.

84 Here we show that sparse but not global knockout of GluD2 causes under-ela

85 Sparse canonical correlation analysis (SCCA) is widely u

86 ars, a number of approaches for implementing sparse CCA (sCCA) have been proposed, where they differ

87 oducing exogenous plasmid constructs and for sparse cell labeling to image neuronal axon outgrowth an

88 dual neurons and optogenetic manipulation of sparse cell populations in vivo.

89 mple, we observed a macular pattern that was sparse centrally and peaked peripherally in healthy huma

90 fiber terminals, but we also found at least sparse cerebrocerebellar projections to every lobule of

91 Rather, sparse channel activity preserves intracellular current,

92 at the combination of fragment modeling with sparse chemical shift data can determine the structure o

93 e of potent network suppression supports the sparse coding hypothesis, and suggests that cortical per

94 cape, is used to solve the highly non-convex sparse coding optimization problem.

95 the flow of powders like cement or flour is sparse compared to the flow of coarse, granular media li

96 r, in vitro measurements on filaments with a sparse complement of heads detected a decrease of the cr

97 CTF identifies robust patterns in sparse compositional datasets, allowing for the detectio

98 e photoreceptor layer that might represent a sparse cone population or may be immature rods.

99 mIL-2), we identify a global transition to a sparse conformation which is regulated by an alpha-helic

100 d theoretical neuroscience to suggest random sparse connectivity as a key design principle for neuron

101 riant of principal component analysis (PCA), sparse contrastive PCA that extracts sparse, stable, int

102 Sparse data address the effects of nitrogen dioxide (NO(

103 es in the quality of underlying studies, and sparse data availability for non-glycemic outcomes.

104 manual counting by professionals leading to sparse data availability in select locations.

105 quality of life, and cost-effectiveness had sparse data availability that precluded quantitative poo

106 in study size and numbers of outcomes (i.e., sparse data bias)-especially with larger covariate sets.

107 e land biosphere fluxes has been hampered by sparse data coverage(2-4), which has resulted in a wide

108 everal modeling challenges, including highly sparse data matrices, noisy irregular clinical notes, ar

109 oped a file format called cooler, based on a sparse data model, that can support genomically labeled

110 There are sparse data on the rate of primary nonfunction (PNF) los

111 e coupled with new software architecture and sparse data structures to reduce the memory overhead for

112 portional and non-proportional scenarios and sparse data, which is something usual in biomedical data

113 ts that the method is a valuable addition to sparse deep learning models for omics data.

114 ll nuclei of the BNC and had aspiny or spine-sparse dendrites.

115 mbeddings are iteratively adapted by solving sparse, diagonally dominant systems of linear equations

116 Though data are sparse, diet intervention may reduce toxicity, improve c

117 e addressed these shortcomings by leveraging sparse distance data gathered using site-directed spin l

118 mbine existing structural informational with sparse distance restraints and search for the most compa

119 were treated with the same schedule and had sparse dolutegravir pharmacokinetic sampling at weeks 8,

120 However, sparse dorsal pigmentation means that these frogs are be

121 appealing alternative, yet their use remains sparse due to undesired side-processes.

122 Gill pore papillae were absent and SCCs were sparse during the larval stage and in newly transformed

123 an integrative modeling approach to create a sparse ensemble of models of a SurA*uOMP complex.

124 Memories are believed to be encoded by sparse ensembles of neurons in the brain.

125 obust expansion of CAR T cells in an antigen-sparse environment.

126 Through iterative learning, scAI aggregates sparse epigenomic signals in similar cells learned in an

127 comparisons between the sexes have remained sparse, especially for larger mammals.

128 Publicly accessible records are sparse, especially from developing countries, and are fr

129 rm that RosettaDEER can effectively leverage sparse experimental data for a wide array of modeling ap

130 derlying dynamics of biological systems from sparse experimental data.

131 tro-orbital injection of virus, but slow and sparse expression and the large injection volumes requir

132 With sparse factorization of data matrices using GPCA, groups

133 an algorithm called sssHD to achieve stable sparse feature selection applied it to complicated class

134 ze duration which were also estimated by (i) sparse feature tracking computer vision image analysis o

135 ACsN combines camera physics and layered sparse filtering to significantly reduce the most releva

136 When species contain sparse fluorine atoms, NMR spectra of fluorine-containin

137 single-nucleotide mutation data that are too sparse for current single-cell analysis methods.

138 Data were sparse for outcomes related to treating DBP to a lower t

139 omain insertion that was severely biased and sparse for some genes, SPINE generated high-quality libr

140 nowledge of recurrent inhibitory function is sparse for the control of the primate upper limb, where

141 a group of dynamic, swift predators, have a sparse fossil record, particularly at the time of their

142 By combining sparse genetic labeling and whole-mount placental alkali

143 these marine shrimps has been limited by the sparse genomic resources in this genus.

144 erve neighborhood relationships encoded by a sparse graph.

145 oposal distribution that efficiently samples sparse graphs and (ii) the relaxation of common restrict

146 often inadequate in reducing overfitting on sparse graphs.

147 A multi-task learning sparse group least absolute shrinkage and selection oper

148 re available in seagull: lasso, group lasso, sparse-group lasso and Integrative LASSO with Penalty Fa

149 nent examples are the lasso, group lasso and sparse-group lasso.

150 Sparse, heterogeneous data with suboptimal adjustment fo

151 stimating these trends is complicated by the sparse, heterogeneous distribution of observations of re

152 ework for differential abundance analysis on sparse high-dimensional marker gene microbiome data.

153 Genomics data due to its sparse, high-dimensional and noisy nature presents signi

154 Analysis of these sparse, high-dimensional experimental results requires d

155 Hyperreflective foci were present but sparse in healthy eyes, infrequent in early AMD eyes, an

156 evelop later than other B cell types and are sparse in neonatal mice.

157 s: the landscape of the DNA repair is highly sparse in the (Walsh-Hadamard) spectral domain.

158 utilizes a learned dictionary optimized for sparse inference on a D-Wave quantum annealer.

159 Despite the widespread use, only sparse information is available on the safety of gabapen

160 ted and distinguished from one another, with sparse innervation thought to optimize the complexity of

161 Periodontal health was characterized by a sparse interbacterial and highly connected cytokine-bact

162 These shifts accompanied an increasingly sparse interbacterial network.

163 cillations, which were consistent with ultra-sparse intrinsic connectivity within the LH.

164 including direct coupling analysis (mfDCA), sparse inverse covariance estimation (PSICOV), classical

165 effects of sensory pollutants is weakened by sparse knowledge of the mechanisms underlying these effe

166 s have been proposed to address the problem: sparse label-noise-robust logistic regression (Rlogreg),

167 n into the sensory domain, we used a genetic sparse labeling approach to track SGNs and found no diff

168 bined with newly designed intersectional and sparse labeling strategies, AAV1 can be applied within a

169 tions, iterative algorithm for obtaining the sparse latent variables and make different assumptions a

170 nalize the canonical variables for producing sparse latent variables while achieving maximal correlat

171 construction, protein-MOFs possess extremely sparse lattice connectivity, suggesting that they might

172 Sparse learning by incorporating known functional relati

173 Compared with conventional sparse learning methods, MTL-SGL achieved a lower predic

174 such a method called Deterministic Bayesian Sparse Linear Mixed Model (DBSLMM).

175 other single-tissue approaches (the Bayesian sparse linear mixed model and Dirichlet process regressi

176 acteristic (ROC) curves in high-dimensional, sparse linear model simulations, including a wide range

177 thods: 1) a sparse mCIA method that produces sparse loading estimates and 2) a structured sparse mCIA

178 temperatures(9,10), were based on data from sparse locations.

179 ntroduced to model the dynamics of moths and sparse logistic regression is used to learn control poli

180 classifier, and 10 FCs were selected by our sparse machine learning algorithm.

181 ecrosis factor ligand superfamily member 14; sparse mast cell degranulation; numerous forkhead box pr

182 utterflies produce ultra-black by creating a sparse material with high surface area to increase absor

183 We created a computational model using sparse maximum likelihood to estimate the resulting mono

184 dilute MB concentrations to ensure spatially sparse MB events for accurate localization and tracking.

185 rse multiple canonical correlation analysis (Sparse mCCA), angle-based joint and individual variation

186 Proposed sparse mCIA achieves simultaneous model estimation and f

187 demonstrate the superior performance of the sparse mCIA and structured sparse mCIA methods compared

188 Furthermore, proposed structured sparse mCIA can effectively incorporate prior network in

189 sparse loading estimates and 2) a structured sparse mCIA method that further enables incorporation of

190 We propose two new mCIA methods: 1) a sparse mCIA method that produces sparse loading estimate

191 erformance of the sparse mCIA and structured sparse mCIA methods compared to the existing mCIA in ter

192 We propose a rigorous Sparse Microbial Causal Mediation Model (SparseMCMM) spe

193 Sparse microbial populations persist from seafloor to ba

194 ental challenges, including inflammation and sparse micronutrients.

195 nopy with almost no midstory, another with a sparse midstory and another with a dense midstory.

196 We combine sparse mixture mapping with supervised learning to achie

197 A sparse model focusing on information from the human face

198 se biophysical measurements of ensembles are sparse, modeling of actomyosin networks has aided in dis

199 ntaminants, (3) were not detected because of sparse monitoring, or (4) were not detected because of t

200 to estimate self-motion while maintaining a sparse motion representation that is compatible with per

201 We present a comparison of sparse multiple canonical correlation analysis (Sparse m

202 However, the extremely sparse nature of scHi-C data poses a significant barrier

203 enomic datasets by taking advantage of their sparse nature, while supporting efficient compression an

204 on gene transcription, which it models as a sparse network of functional CRMs regulating target gene

205 o prove the robustness of our model for very sparse networks and the generalization for a new dataset

206 uctive specialization is strongly favored in sparse networks of cellular interactions that reflect th

207 and mutual information; (iii) generation of sparse networks where nodes represent bioactive peptides

208 veloped a group feature selection-based deep sparse neural network model (DNN-GFS) that is optimized

209 complex molecular structures from extremely sparse NMR data.

210 ing a combination of sparse autoencoders and sparse non-negative matrix factorization is reproducible

211 lementary subtype detection methods (HOPACH, sparse non-negative matrix factorization, cluster 'fitne

212 dopaminergic axons in the mouse striatum and sparse noradrenergic axons in the mouse cortex in acute

213 diurnal variations are limited by relatively sparse observations.

214 Moreover, we show that sparse odor responses are preserved in mushroom bodies w

215 , we explore the developmental patterning of sparse olfactory inputs to Kenyon cells of the Drosophil

216 data, but approach additivity where data is sparse or absent.

217 methods and is effective even when data are sparse or from different assays.

218 We then introduce the sparse-overlapping-sets (SOS) LASSO-a whole-brain multiv

219 Also, homogeneous (p = 0.0006), non-sparse (p < 0.0001), rim deposition within sparse tumors

220 We employed multivariate sparse partial least squares analysis to detect parsimon

221 Multivariate techniques (such as sparse partial least squares and kernel canonical correl

222 Both sparse partial least squares and kernel canonical correl

223 regularized multivariate techniques, such as sparse partial least squares and kernel canonical correl

224 PERMANOVA and sparse partial least squares discriminant analysis (sPLS

225 partial least squares regression (PLS-R) and sparse partial least squares regression (SPLS-R), are al

226 A Sparse Partial Least Squares regression model was able t

227 n by cross-omic signatures (identified using sparse partial least-squares regression) using causal me

228 reconstruction quality for limited-view and sparse PAT.

229 Sparse pharmacokinetic samples were assessed using popul

230 strategy described here allows us to label a sparse population of CaMKIIalpha(+) interneurons for fun

231 In addition, we identify a separate, sparse population of non-VIP ChAT(+) neurons in the medi

232 ces activate the FOS transcription factor in sparse populations of neurons that are critical for enco

233 We developed Sparse Predictive Activity through Recombinase Competiti

234 This imbalance induces the data to be highly sparse, preventing from learning a better prediction mod

235 Sparse projection pursuit analysis (SPPA), a new approac

236 r variable selection to efficiently generate sparse projection vectors that improve the chemical inte

237 Our previous work using sparse random recombination of a conditional knock-in re

238 The method is evaluated on sparse real-world data from wound healing assays with va

239 initialized to its average value and then a sparse reconstruction of the combined vector is obtained

240 between them into a dictionary optimized for sparse reconstruction.

241 terns in sustaining asynchronous activity in sparse recurrent networks.

242 xide (NO(2)), which complement data from the sparse reference network operated by environmental agenc

243 Information is sparse regarding associations between these milk constit

244 ty~70-90% and specificity~90-93% through the sparse regression machine learning of patterns.

245 We show that sparse regression models that capture sample-sample rela

246 partite graph on the generated modules using sparse regression, yields more informative networks than

247 ifferent re-balance preprocessing, different sparse regularization structures as well as different cl

248 on the Hellinger distance (HD) coupled with sparse regularization techniques.

249 Seventeen tagged slugs were released singly (sparse release) on the same grid node on which they had

250 Specifically, we employ sparse representation to integrate multimodal brain netw

251 ion routine that leverages deep learning and sparse representations to reduce the need of training da

252 Our data show that the various stimuli evoke sparse responses from a combination of broadly and narro

253 gricultural land use, carbonate geology, and sparse riparian canopy, which suggested that reduced nit

254 However, these organisms provide relatively sparse sampling across the broad evolutionary distances

255 her uncertainties associated with temporally sparse sampling and instrument performance limit our abi

256 ata, correcting many biases generated by the sparse sampling inherent in single cell technologies.

257 ones; this is usually challenging because of sparse sampling of the various cell types during the ana

258 11% on average and up to 40% in months with sparse sampling.

259 ath volcanoes despite having a comparatively sparse seismic network.

260 n data, and develop an algorithm named fused sparse SEM (FSSEM), to jointly infer GRNs under two cond

261 ad already addressed the two concerns raised-sparse sequence sampling and not forcing the gene to the

262 rise from using an implausible phylogeny and sparse sequence sampling.

263 We find a sparse set (~5%) of layer 2/3 neurons in the primary aud

264 on the multivariate Hurdle model to infer a sparse set of conditional dependencies which reflect not

265 co-expressed genes which are predicted by a sparse set of regulators using a variational Bayes metho

266 Census data from Cayman Brac, while more sparse, show a similar pattern.

267 s and subpopulations of cells by aggregating sparse signal across hundreds or thousands of individual

268 Skin conformal WFHE with sparse signal reconstruction enables reliable, continuou

269 We implement our method, named Sparse Signaling Pathway Sampling, in Julia using the Ge

270 The ability to detect sparse signals from noisy, high-dimensional data is a to

271 od are overall more powerful, especially for sparse signals, and could improve the detection power by

272 s and accounts for technical factors such as sparse signals, mappability and nucleotide content.

273 l for annotation of compartmental domains in sparse single cell Hi-C matrices.

274 ical mixture model to simultaneously cluster sparse single-cell DNA methylation data and impute missi

275 However, many sparse, small objects such as Alzheimer's disease (AD) b

276 A sparse, stable, and genetically diverse population of ti

277 (PCA), sparse contrastive PCA that extracts sparse, stable, interpretable and relevant biological si

278 s of brain function propose that activity in sparse subsets of neurons underlies perception and actio

279 lly, our method allows for the direct use of sparse survey evidence to make these bounds more informa

280 Strong, sparse synaptic inputs can be distinguished by their amp

281 Sparse taxon sampling has previously been proposed to co

282 with Cre under the NG2 promoter resulted in sparse TdTomato labeling of mural cells, allowing for an

283 The sparse thalamic firing could promote an incremental inte

284 Although such data is rather sparse, they are sufficient to train supervised models t

285 boundaries of membrane-embedded regions are sparse, this information is present in cryo-electron mic

286 Data on ice hockey and martial arts were too sparse to allow conclusions to be drawn.

287 is results in a range of spatial codes, from sparse to dense.

288 esign sub-optimal toehold sensors, even with sparse training data, experimentally validating their im

289 bal maps, and for a new focus on quantifying sparse tree cover in drylands and other systems.

290 Systematic underestimates of existing sparse tree cover led directly to large overestimates of

291 n-sparse (p < 0.0001), rim deposition within sparse tumors (p = 0.045), and peripheral deposition (p

292 s inferred based on bulk exome-seq data, and sparse variant alleles expressed in scRNA-seq data.

293 The sparse variant of canonical correlation analysis (CCA) a

294 Sparse-view (100 views, full-scan) projection data were

295 vestigate a deep learning approach that uses sparse-view acquisition in dedicated breast computed tom

296 The proposed MS-RDN uses the sparse-view and reference FDK reconstructions as input a

297 ion, we propose a framework that combines 3D sparse-view cone-beam acquisition with a multi-slice res

298 prediction as SL interactions are extremely sparse, which is more likely to cause overfitting.

299 wever, its estimated loading vectors are non-sparse, which presents challenges for identifying import

300 rocess is complicated by forecast errors and sparse wind measurements.