ライフサイエンスコーパス: by analyzing

1 By analyzing 133 discarded wound dressings from 51 patie

2 gene family was searched in many organisms, by analyzing 15 species under biotic stress.

3 nts and nucleotide diversity were determined by analyzing 155,462 single HIV reverse transcriptase ge

4 By analyzing 16S rRNA and whole metagenome shotgun seque

5 nity and other soil physicochemical features by analyzing 16S rRNA gene amplicon data through minimum

6 We also performed a case-control study by analyzing 16S rRNA microbial profiling, shotgun metag

7 We test among these mechanisms by analyzing ~20,000 fossil occurrences with Bayesian me

8 By analyzing 24 hippocampal neurons with three distinct

9 We validate these findings by analyzing 317 multi-region biopsies from an independe

10 variability in status epilepticus treatment by analyzing 33 publicly available statewide EMS protoco

11 By analyzing 4 independent clinical cohorts through BCR

12 Its accuracy and precision was evaluated by analyzing 40 standard mixtures composed of seven diff

13 ed for uniquely human gene expression traits by analyzing 422 brain samples from humans, chimpanzees,

14 By analyzing 48 scan datasets collected from 21 healthy

15 By analyzing a 35-year dataset of seasonal biomass dynam

16 Here, by analyzing a battery of genetic mice of both sexes, we

17 underlying the flow regimes are interpreted by analyzing a distance matrix of nonaffine particle dis

18 By analyzing a group of species that has acquired the co

19 In this study, by analyzing a large collection of 956,157 human Ig sequ

20 By analyzing a larger set of (noble) gases (N(2), He, Ar

21 Successful AF4-NTA coupling was demonstrated by analyzing a mixture of polystyrene particles with the

22 eparate particle populations is demonstrated by analyzing a mixture of three types of dielectric part

23 ties preserve cell type-specific variability by analyzing a mixture sample sequenced with 13 scRNA-se

24 We demonstrate the versatility of AggreCount by analyzing a number of different cellular aggregates i

25 We address this gap in previous research by analyzing a quasi-experiment in which university stud

26 NMT3A loss confers increased fitness to HSCs by analyzing a rare experiment of nature.

27 The usefulness of the package is illustrated by analyzing a real dataset including exposome data, thr

28 We also show, both by analyzing a revised theoretical model and by experime

29 s present at each pixel location in an image by analyzing a set of measured emission spectra.

30 By analyzing a spiking recurrent neural network model tr

31 mpanying the major lineage decisions in vivo By analyzing active and repressive histone modifications

32 sence and abundance of organisms in a sample by analyzing alignments against a database that contains

33 By analyzing all 376 pairwise combination of these gene

34 The user can identify all validated MTIs by analyzing all degradome data at a time and understand

35 By analyzing allograft tumors and co-culture experiments

36 ophobic alpha-helical hot spots was revealed by analyzing alpha-helix-mediated protein-protein intera

37 By analyzing an acs octuple mutant with reduced seed set

38 ng model-based methods, which we demonstrate by analyzing an alignment of over 110 000 sequences of H

39 By analyzing an ochratoxin-binding DNA aptamer and six o

40 nd risk factors of cognitive impairment (CI) by analyzing and comparing two cross-sectional epidemiol

41 We hypothesize that by analyzing and integrating dysregulated gene expressio

42 By analyzing and learning posting information written by

43 By analyzing and quantifying the expression of the R2D2

44 By analyzing and simulating inactive conformations of th

45 formance of the method was further confirmed by analyzing another monoclonal antibody, bevacizumab, a

46 We have addressed this issue by analyzing antibodies derived from patients immunized

47 By analyzing Ascl-1(null) mutants we dissociated the neu

48 nvestigation of anti-aging effects in humans by analyzing astronauts' heart rate variability (HRV).

49 By analyzing Atoh7 mRNA and protein levels, RGC developm

50 By analyzing bacterial 16S rRNA gene sequences isolated

51 Here we show, by analyzing Batf3(-/-) mice lacking the CD103(+) conven

52 g new potential loci from existing GWAS data by analyzing bipolar disorder and epilepsy phenotypes av

53 By analyzing both gain and loss of Tgif function in a we

54 By analyzing both healthy and disease samples, we found

55 By analyzing both the steady state and dynamic behaviors

56 We showcase DOT by analyzing breast cancer and cleft lip data, in which

57 By analyzing CD160(-/-) mice and mixed bone marrow chime

58 By analyzing cells of different widths, we first show th

59 emiology of emergency general surgery (EGS), by analyzing changes in demographics, diagnoses, operati

60 ygen level-dependent (BOLD)-response imaging by analyzing changes in T2 and T2* over the time of a br

61 cy, but a strong correlation was established by analyzing Cl K-edge data for Ti complexes with a wide

62 By analyzing climate impacts of sustained hydropower emi

63 rding the role of TIMP2 in tumor progression by analyzing co-expressed genes in tumor vs. normal tiss

64 ed the effects of biotic and abiotic factors by analyzing co-occurrence within the mutual ranges of s

65 The method was tested by analyzing commercial food products with high protein

66 By analyzing complete proteomes from all three domains o

67 of neuronal firing in primate visual area V2 by analyzing contrast sensitivity, spiking variability,

68 We examined these issues by analyzing covariation patterns in quadriceps muscle a

69 By analyzing crystal structures of proteins bound to com

70 By analyzing CTCF and CTCFL binding in tandem, we identi

71 les underlying the droplet state of proteins by analyzing current evidence for droplet-driver and dro

72 By analyzing data collected from IT as monkeys performed

73 We investigated this association by analyzing data collected on 303,196 subjects from the

74 observed that the lists of targets obtained by analyzing data from one experimental approach only, t

75 ne function after HIV vaccination.IMPORTANCE By analyzing data from the HVTN 505 efficacy trial of a

76 ed at general differences between the scores by analyzing distribution, correspondence and correlatio

77 ies, and validate the newly inferred D genes by analyzing diverse whole genome sequencing datasets an

78 We demonstrate COCOA's utility by analyzing DNA methylation, ATAC-seq, and multi-omic d

79 g patient-derived lung cancer cell lines and by analyzing downstream kinase signaling.

80 By analyzing drug pharmacogenomics profiles from the Gen

81 We validated SarcTrack by analyzing drug-treated hiPSC-CMs, confirming the cont

82 nd make suggestions to improve the inventory by analyzing end-user emissions.

83 By analyzing epigenetic data we uncovered an enhancer cl

84 the presence of immune cell gene expression by analyzing existing single-cell RNA-sequencing (scRNAs

85 evolutionary dynamics of this lethal process by analyzing exome-sequencing data from 118 biopsies fro

86 The models were validated by analyzing experimental data demonstrating the effects

87 id and non-heme iron complexes are discussed by analyzing experimental studies and theoretical calcul

88 e, we attempt to dissect the roles of AtDRO1 by analyzing expression, protein localization, auxin gra

89 ack formation during the post-seismic period by analyzing extension quartz veins exposed around the N

90 By analyzing female mice carrying targeted mutations in

91 Here, we show, by analyzing five health insurance databases, that the a

92 Here, by analyzing fluorescence intensities collected using a

93 amined Cyt1Aa insertion into these membranes by analyzing fluorescence quenching in solution and in t

94 Here, by analyzing four extensive datasets covering millions o

95 By analyzing functional genomic data, our results indica

96 Here, by analyzing gene expression in activated B cells with o

97 netically driven transcriptome abnormalities by analyzing gene expression, allele-specific expression

98 ic network level measured in primary samples by analyzing gene expression, DNA methylation, and chrom

99 By analyzing gene regulatory relationships in the diseas

100 By analyzing genome-wide DNA splicing events in two micr

101 elopment, with a focus on what can be gained by analyzing genotype and phenotype data from close rela

102 of the mud volcano MV420 (420 m water depth) by analyzing geochemical properties, microbial lipids, a

103 By analyzing Gli3 extra-toe mutants (Gli3(Xt/Xt)), we fo

104 we demonstrate the efficacy of the SS-FRAGS by analyzing glycan structures enzymatically cleaved fro

105 We further demonstrated its applicability by analyzing glycoproteomes with uncommon glycans stemmi

106 By analyzing >11,000 RNA-sequencing libraries across 36

107 ary dynamics of protein-interaction networks by analyzing >16,000 predominantly metazoan co-fractiona

108 By analyzing H2A.Z occupancy in conjunction with RNA exp

109 R. microplus from 10 endemic areas of Mexico by analyzing haplotype distribution patterns to help in

110 By analyzing hearing function, we found that there are n

111 By analyzing high-density EEG recordings collected in he

112 tive delta (1-4 Hz) waves in human REM sleep by analyzing high-density EEG sleep recordings obtained

113 By analyzing host and bacterial transcriptional response

114 in-DNA complex could potentially be inferred by analyzing how crosslinking signatures vary between it

115 We focus on closing this gap by analyzing how spatially-constrained neural connectivi

116 By analyzing how the activity of these neurons related t

117 By analyzing how the distribution of overhangs and their

118 By analyzing human FH and FHL-1 for protection of differ

119 We address this by analyzing human intracranial electroencephalogram dat

120 data and demonstrate its broad applicability by analyzing images of nucleoporins, TORC1 complexes, en

121 Intestinal barrier function was assessed by analyzing immunofluorescence localization of TJ prote

122 Here, by analyzing in vitro helicase activity, dissociation of

123 nality, and chaos of the inferior olive code by analyzing in vivo recordings of Purkinje cell complex

124 , and we successfully replicated two of them by analyzing independent Japanese cohorts; p.R220W of AT

125 o enable direct and label free immunosensing by analyzing interfacial changes on the electrode surfac

126 trend, focusing on population-level effects by analyzing interrupted time-series (ITS) studies.

127 By analyzing interstrain heterologous UL74(gO) recombina

128 unctional redundancy in the human microbiome by analyzing its genomic content network - a bipartite g

129 The effectiveness of EXoO-Tn was benchmarked by analyzing Jurkat cells, where 947 Tn-glycosylation si

130 00 protein groups (<1% false-discovery rate) by analyzing just ~5 ng of protein digest, viz.

131 alogen-atom abstraction mechanism, validated by analyzing kinetic isotope and substituent effects.

132 ocessing information about visible edges and by analyzing large-scale differences between figure and

133 een tissue-specific ECs and other cell types by analyzing ligand and receptor expression patterns.

134 We address this problem by analyzing long-term (16-39 years) time series data fr

135 of Korea has been enhanced from 1999 to 2017 by analyzing long-term atmospheric CO(2) concentration m

136 ody response against all ebolavirus proteins by analyzing longitudinal antibody repertoires of an Ebo

137 he apparent chondrule-matrix complementarity by analyzing major, minor, and trace element composition

138 We explored all these issues by analyzing markers for maturation in Arabidopsis mutan

139 re characterized using different techniques, by analyzing microstructure, porosity, elemental composi

140 Here we show, by analyzing millions of reactions stored in the Reaxys

141 te the genome-wide base-composition patterns by analyzing millions of SNPs segregating among 100 acce

142 We demonstrate the relevance of our approach by analyzing models inspired by different biological pro

143 By analyzing more than 500 monoclonal antibodies (mAbs)

144 iation of breast cancer with candidate genes by analyzing multi-omics data.

145 Here, by analyzing natural signals, we predict the quantitativ

146 om decisional contributions to metacognition by analyzing neural correlates of confidence with multim

147 Here, we reveal its dynamic genetic history by analyzing new genome-wide data for 214 ancient indivi

148 In addition, by analyzing non-glomeruli images, the neural network id

149 Here, by analyzing Notch activation in single cells while cont

150 abolome coverage is theoretically attainable by analyzing only the H, A, C, and K submetabolomes and

151 s and other bacteria that have been acquired by analyzing or modeling the activity of the sigma(E) -C

152 in long-term survival after liver transplant by analyzing outcomes in transplant recipients who survi

153 By analyzing over 1000 growing polyps, we find that tent

154 By analyzing over 12,000 influenza B virus genomes, we d

155 By analyzing patient copy-number data, we demonstrate th

156 By analyzing patterns of grossly radial wrinkles we find

157 ge during meiotic recombination in male mice by analyzing patterns of heteroduplex DNA in recombinant

158 resents variables such as force and mass, or by analyzing patterns of motion without encoding underly

159 By analyzing phenotype, transcriptome, epigenetic profil

160 e assayed rhythms in the protein translation by analyzing polysome-associated mRNAs in the liver of m

161 By analyzing population recordings from mouse frontal co

162 We show the approach by analyzing population structure in the model plant spe

163 ficantly associated with SOC were identified by analyzing population transcriptomes from seeds.

164 ification is conserved between rat and mice, by analyzing Prdm14-deficient rat embryos.

165 cations in mRNA throughout the transcriptome by analyzing preexisting ultra-deep RNA-Seq data for mod

166 Herein, by analyzing prior efforts to advance antiviral mAbs for

167 onary intervention (PCI) practice in England by analyzing procedural numbers, changes in the clinical

168 ion of P450 17A1 with its steroid substrates by analyzing progress curves (UV-visible spectroscopy),

169 ification of proteins are typically achieved by analyzing protein size, charge, mobility and binding

170 By analyzing proteome-wide mass spectrometry data of Cae

171 We demonstrate our approach by analyzing Pt-rich Pt-Ni catalysts for the oxygen redu

172 By analyzing published gene expression data, we found th

173 By analyzing quenching properties of mutants affected on

174 ce volumetric changes are typically accessed by analyzing Raman shifts as a function of pressure, str

175 By analyzing realistic synaptic integration in biophysic

176 nescence- and fluorescence-based assays, and by analyzing ribosome-profiling and mass spectrometry (M

177 By analyzing rotavirus genome sequences from stool speci

178 Herein we investigate this relation by analyzing saliva samples from 35 adult patients with

179 By analyzing samples collected from field lysimeters wit

180 ganic ions present in urban grime, performed by analyzing samples collected in Toronto for 4-week int

181 By analyzing SARA localization throughout mouse embryoni

182 discuss synthetic approaches and their value by analyzing scope and limitations, and also enlighten t

183 By analyzing sequence data available in the GISAID datab

184 uted to the difference in host virus fitness by analyzing sequence data from all of the viruses detec

185 By analyzing several individual synapses, we demonstrate

186 sed nuclear material has merely been studied by analyzing short-lived radioisotopes.

187 By analyzing simulated datasets, we found that PathFinde

188 By analyzing single-channel activities at limiting calci

189 We investigated this effect by analyzing spin-delocalization in benzo[cd]-triangulen

190 ural history and clinical relevance of TTNtv by analyzing standardized mortality ratios (SMR) in mult

191 tested rest-task modulation of GS topography by analyzing static GS correlation and dynamic coactivat

192 in O(3) variability on synoptic time scales by analyzing statistics of multiday high-O(3) events.

193 zation of membrane traffic during tip growth by analyzing steady-state distributions and dynamics of

194 By analyzing stimulus-evoked compound nerve potentials,

195 of the microbiome with chronic GVHD (cGVHD) by analyzing stool and plasma samples collected late aft

196 By analyzing synthetic and real networks, we show that D

197 ally measured via RNA expression rather than by analyzing temporal changes in protein abundance.

198 udy the mechanism underlying this connection by analyzing the antigenic peptide repertoire of cells t

199 relationships are learned from AIRR-seq data by analyzing the BCR sequence, with the most common meth

200 By analyzing the before-and-after status of each plasmon

201 By analyzing the behavior of Poynting vectors in near su

202 kin, we examine the robustness of our method by analyzing the behavior of the extracted skin paramete

203 mechanisms underlying CD4 T-cell destruction by analyzing the chromosome end (telomere) DNA damage re

204 We investigated tolcapone metabolism by analyzing the circulating medium using mass spectrome

205 in pork and enhanced the limit of detection by analyzing the coffee-ring effect.

206 By analyzing the contacts formed by a T cell interacting

207 We further validate the prediction results by analyzing the correlation between functional similari

208 )Y(2)C(15)B(6) metallic glass is established by analyzing the crystal size distribution using x-ray d

209 illitis (RAT) or peritonsillar abscess (PTA) by analyzing the cytokine production following T cell re

210 By analyzing the degree-, closeness-, and betweenness-ce

211 By analyzing the DeltaG(PET) associated with radical cat

212 By analyzing the developmental dynamics of brown adipocy

213 endpoints resulting from digestion of foods by analyzing the digestion products (e.g., peptides/amin

214 Finally, we tested for CP by analyzing the discrimination ability of the fish for

215 stigated a mouse model we recently generated by analyzing the effect of bi-allelic versus mono-alleli

216 tested here in oilseed rape (Brassica napus) by analyzing the effect of suppressing key genes encodin

217 By analyzing the effects of osmotic shock and mechanical

218 We illustrate the power of PTWAS by analyzing the eQTL data across 49 tissues from GTEx (

219 By analyzing the evolutionary relationships between gene

220 By analyzing the experimentally verified TE insertions,

221 line-suppressible embryonic lethality system by analyzing the frequency and structure of primary-site

222 We conclude the review by analyzing the frequency of modeling approaches in mic

223 Here we address this problem by analyzing the genome-wide impact of social interactio

224 We demonstrated the performance of PRAP by analyzing the genomes of 26 Salmonella enterica isola

225 By analyzing the genomic locus, we could express and pur

226 We reviewed the electronic medical record by analyzing the histological, operative, laboratory and

227 had a significant impact on drug development by analyzing the HTE samples rapidly with unambiguous pe

228 Here, we challenged this hypothesis by analyzing the IghPax5/+ mouse, which expressed a Pax5

229 in pork was determined to be 19.2 mg kg(-1) by analyzing the inner-chamber reaction, while it could

230 of principle of the hypothesis was obtained by analyzing the interactions between hAEC and the main

231 By analyzing the interactions with binding pocket inform

232 or uncover links between diseases and genes by analyzing the interactomes underlying these diseases.

233 By analyzing the interplay of amplification efficiency,

234 By analyzing the intrinsic biochemical profiles of singl

235 By analyzing the male germline of mice, we demonstrate t

236 We characterize the operation of our device by analyzing the merging efficiency as a function of aco

237 modeling approach to address these questions by analyzing the model simulation to explain why hypoxia

238 By analyzing the motor structures of wild-type and stato

239 By analyzing the MSD, we find that upon densification, o

240 demonstrate the potential of the methodology by analyzing the N- and C-terminome of S. cerevisiae, id

241 f neurons with distinct functions, confirmed by analyzing the neural activity in the lateral prefront

242 the clay matrix in Ni retention is confirmed by analyzing the Ni-spiked compact COx samples, whereby

243 of putative crop-wild-relative introgression by analyzing the nuclear and chloroplast genomes from a

244 urther evidence to confirm previous findings by analyzing the patterns of c-Fos expression in more ne

245 endering an image from these coordinates, or by analyzing the point cloud directly.

246 From our model, we construct a GCN by analyzing the positive and negative associations of t

247 The device design is optimized by analyzing the quality factor and radio frequency prop

248 By analyzing the RBC migration and cell-free layer devel

249 Then, by analyzing the ribosomal RNAs and proteins, we explain

250 icantly differential expression was obtained by analyzing the RNA-Seq data.

251 By analyzing the ruggedness of the associated potential

252 tly compared the 11-plex and 16-plex methods by analyzing the same human AD samples.

253 Here, we address this question by analyzing the sensing power of a taxi fleet.

254 (TEER), by fitting an equivalent circuit and by analyzing the single characteristic frequency.

255 By analyzing the single-cell transcriptome profiles of f

256 By analyzing the solvent accessible and buried surface a

257 automatically with anatomical ontology terms by analyzing the spatial expression patterns and their t

258 By analyzing the steps in the soil-plant-human diet nexu

259 By analyzing the stromal content of PDA samples from num

260 By analyzing the structural information of some proteins

261 basis for this intramolecular communication by analyzing the structure and functional properties of

262 We addressed this issue by analyzing the T cell-dependent B cell response to the

263 mechanisms underlying CD4 T-cell destruction by analyzing the telomeric DNA damage response (DDR) and

264 By means of noise spectroscopy, by analyzing the time-dependence of fluctuation-induced

265 ratio and the tumor immune microenvironment by analyzing the transcriptome of publicly available coh

266 By analyzing the transcriptomes of 11,492 single cells a

267 By analyzing the trend and mitigation measures in Wuhan,

268 tration levels (10-500 mug L(-1)) as well as by analyzing the U.S. Environmental Protection Agency (E

269 ss emissions from the U.S. industrial sector by analyzing the variabilities in point-source capture a

270 We illustrate SCANG by analyzing the WGS lipids data from the Atherosclerosi

271 disease extent obtained from the algorithm, by analyzing the whole CT scan, correlated with the diff

272 In this study, we tested this hypothesis by analyzing theater plays during the early modern perio

273 and physiological phenotype of allogroomers, by analyzing their behavior (both at individual and soci

274 LncRNA to mRNA associations were conjectured by analyzing their genomic proximity and by interrogatin

275 among practicing surgeons operating together by analyzing their intraoperative discussion.

276 Recently, detecting biological particles by analyzing their mechanical properties has attracted i

277 evolution of spectral sensitivity in elapids by analyzing their opsin genes (which are responsible fo

278 sid sequences from primary human samples and by analyzing their properties as AAV/HBoV1 gene transfer

279 By analyzing these mutants, we show that Aurora A phosph

280 By analyzing thousands of base-pair opening and closing

281 By analyzing thousands of individual cells per patient t

282 The utility of this approach is demonstrated by analyzing three state-of-the-art ML models for predic

283 This was done by analyzing time series data contained in an unusually

284 negatively to climate and land-use changes, by analyzing time-series data (1970-2014) for 31 lakes a

285 behavior on an aggregate level, for example, by analyzing total sitting time per day.

286 e integration of regutools with Bioconductor by analyzing transcription factor DNA binding sites and

287 co-binding state, and its anion conductance, by analyzing transient currents when Na(+) was exchanged

288 By analyzing tumor genomes from mice chronically exposed

289 By analyzing two publicly available microarray data sets

290 monstrated in proof-of-principle experiments by analyzing urine from Austrian individuals and breast

291 eet cherry cultivars and one of sour cherry, by analyzing values of different pomological and nutrace

292 es distributed from southern Africa to Asia, by analyzing variation at 18 microsatellites and 9 DNA (

293 Here, by analyzing various SPG indices derived from observatio

294 Intraocular pressure was estimated by analyzing videos recorded using a standard slit-lamp

295 eed as a participant chooses a response, and by analyzing which stimulus features affect the trajecto

296 d nonlinear changes in age-related microRNAs by analyzing whole blood from 1334 healthy individuals.

297 ctious disease transmission dynamics offered by analyzing whole genomes from pathogens, coupled with

298 Here, by analyzing whole-genome DNA methylation of isolated ri

299 FTD) and amyotrophic lateral sclerosis (ALS) by analyzing whole-genome sequence data from 2,442 FTD/A

300 By analyzing wild-type yeast and a manifold knockout str