ライフサイエンスコーパス: hidden

1 g slower-moving material that was previously hidden.

2 s flawed because only vocal articulators are hidden.

3 honons, while simultaneously suppressing the hidden action of disorder.

4 tice in the food industry, being a potential hidden allergenic commodity.

5 A straightforward approach to identify hidden allosteric sites is demonstrated in protein tyros

6 penetrance of treatment, but a profound yet hidden alteration to the animals' patterning circuitry.

7 orithm for locating a global maximum that is hidden among many poorer local maxima in a search space.

8 ental techniques, that Pd-Ni-P alloys have a hidden amorphous phase in the supercooled liquid region.

9 When the hidden and apparent proteomes are combined, the accuracy

10 ises these data, relevant knowledge is often hidden and hard to identify.

11 carbene carbon atoms by employing the so far hidden and unique ability of the cAACs.

12 An extra dimension of the grating is hidden, and the surface plasmon excitations, though loca

13 For c/a > 0.99, hidden antiferromagnetism was revealed and the magnetisa

14 ase subtilisin enables mapping of previously hidden areas of the proteome.

15 in a position corresponding to one's unseen hidden arm, while increasing their communication with re

16 This lineage had remained hidden as a taxonomic 'blind spot' because of mismatches

17 of progenitor cells can now be used to study hidden aspects of human lung development and pediatric l

18 rea surveillance to reveal patterns that are hidden at the national level, gives communities the hist

19 ch "dark matter" inside cells remains mostly hidden, because our tools were developed to investigate

20 ected hand feels like one's own hand that is hidden behind the mirror.

21 binding galactose residues that are normally hidden below terminal sialic acid residues.

22 suggesting that meaningful associations lie 'hidden' below current thresholds.

23 associated with impaired CFR, representing a hidden biological risk, and a phenotype less amenable to

24 Our Structure-seq2 datasets uncover hidden breaks in chloroplast rRNA and identify a previou

25 Both a halogen bond mechanism as well as hidden Bronsted acid catalysis are frequently discussed

26 Our experimental investigations rule out hidden Bronsted acid catalysis by partial decomposition

27 toward a quantum critical point that becomes hidden by a dome of unconventional superconductivity.

28 iscussed liquid-liquid transition previously hidden by crystallization.

29 ntrinsic reaction dynamics that are normally hidden by diffusion.

30 ose phenotypic variation that was previously hidden by functional redundancy among homoeologs.

31 vements in other SLC26 family members may be hidden by inadequate interrogation timescales, and that

32 "Ghost" species hidden by taxa of hybrid origin may be more frequent tha

33 h outcomes with the counterfactual frequency hidden by the disaster itself.

34 e in Pf and Pv transmission that is normally hidden by the high burden of Pv relapses.

35 ce equilibrium isotherms which are typically hidden by the hysteresis effect characteristic of the st

36 more common than generally accepted, albeit hidden by the typical reactivity of organic triflates wh

37 non-canonical dehydration mechanisms reveals hidden catalytic activity inherent in some DH domains th

38 We discovered a previously hidden component of algal and plant nuclear genomes that

39 We subsequently found hidden conformational ensembles within the crystal struc

40 nce, alphaS molecules are forced to access a hidden conformational state on the phospholipid bilayer

41 We employ Markov state models to identify hidden conformations and explore their role in determini

42 current methods by taking into consideration hidden confounders and weak regulations.

43 to relatedness, population structure and/or hidden confounders.

44 ed individuals, population stratification or hidden confounders.

45 However, the presence of complex hidden confounding effects in biological systems can mak

46 udies to determine and explore the nature of hidden confounding variation, most importantly cell comp

47 We also uncover other hidden consequences of employing compartmental models in

48 o undesirable physiological changes, placing hidden constraints on host productivity.

49 summaries, facilitating the exploration of a hidden continuum.

50 ame biological species as well as to confirm hidden cryptic diversity under a single taxonomic name.

51 Bioinformatics, which could help to discover hidden data properties and detect data quality issues, e

52 It unveils previously hidden degradation reactions running in terpenes and nat

53 eep convolutional neural fields to learn the hidden distributions and patterns of boundaries.

54 showed that wheat bran and flour may contain hidden DON that may be enzymatically released during the

55 se instances, the motion microscope uncovers hidden dynamics over a variety of length scales, leading

56 s in flowering phenology, we argue that many hidden dynamics, such as genetic changes, are also takin

57 he Acien's hypothesis, however, unravels the hidden embryopathogenesis.

58 tion approach to estimate incidence, and the hidden epidemic (the number of HIV-infected undiagnosed

59 There is a hidden epidemic of cognitive dysfunction in the perioper

60 Incidence, and the hidden epidemic, decreased substantially after treatment

61 ease in antigenicity due to exposure of some hidden epitopes.

62 scanning tunnelling microscope tip-assist, a hidden equilibrium phase in a hole-doped bilayer of Sn o

63 d for regulated insulin release, but also a "hidden face" that represses ubiquitous proteins to preve

64 his novel concept, and we first propose that hidden faces may also be relevant for other specialized

65 lgorithm and show that it correctly recovers hidden features in synthetic data, as well as ground-tru

66 spin-density correlation functions reveals a hidden finite-range antiferromagnetic order, a direct co

67 Our results unveil a hidden footprint of human activities.

68 e, the O:H nonbond dispersion force, and the hidden force to approach equilibrium under compression.

69 identifies symmetry settings with previously hidden forms of band topology, and can be applied to the

70 icing imbalances whose perturbation would be hidden from a conventional gene-centric analysis of gene

71 uasi-enveloped virions in the blood that are hidden from neutralizing antibodies.

72 ignaling in the brain that, although largely hidden from recording methods that observe the spiking a

73 It is, however, hidden from satellite observation, and a lack of globall

74 les (overall survival and event status) were hidden from the challenge participants so that ENTHUSE 3

75 rent postures (participants' body parts were hidden from view).

76 ights into triterpene cyclization, revealing hidden functional diversity within triterpene synthases.

77 ration, as well as a new discovery route for hidden functions of pathogen genes.

78 Hidden hearing loss (HHL) is a recently described audito

79 This synaptopathy has been termed hidden hearing loss because its effects are not thought

80 threshold elevation, can nonetheless cause "hidden hearing loss" that interferes with coding of supr

81 Cochlear synaptopathy (or hidden hearing loss), due to noise exposure or aging, ha

82 to permit a simple differential diagnosis of hidden hearing loss.

83 derstand the battle between plants and their hidden herbivores.

84 opy can conveniently isolate and detect such hidden high-order photonic excitations.

85 besides other applications, the detection of hidden hydrocarbon reserves, magma build-up before volca

86 and adjacent steric hindrance modulate this hidden hydrophilicity, thus making this scaffold a good

87 The development of hidden image in SPM is achieved by referencing of images

88 Additionally, using a letter as a hidden image, we demonstrated the micro-SORS potential t

89 of cancer development, extremely rare cells hidden in a vast background of regular blood cells.

90 private well water will identify the dangers hidden in America's drinking water supply and redirect a

91 ging brain's ability to hear complex signals hidden in background noise.

92 spatial organization of molecular complexes hidden in dense multi-color super-resolution images.

93 tal and genetic factors and metabolic fluxes hidden in existing fluxomic data will lead to predictive

94 which are the most meaningful substructures hidden in gene expression data remains a highly challeng

95 Yet, they do not consider many artifacts hidden in high-dimensional gene expression data that may

96 east 30 distinct patterns of sequence change hidden in mutation databases.

97 nucleation and show that angular momentum is hidden in phantom vortices modes which so far seem to ha

98 eparate subspecies, which otherwise would be hidden in the average properties of a single correlation

99 sk of missing important microscopic features hidden in the data.

100 ry (142)Nd-depleted reservoir that either is hidden in the deep Earth, or lost to space by impact ero

101 richness of bacterial biosynthetic diversity hidden in the environment, how it varies from one enviro

102 at epitopes of most anti-PrP antibodies were hidden in the folded structure of PrP(RES), even though

103 of the missing heritability of IQ might lie hidden in the human leukocyte antigen (HLA) region, whic

104 surface of the capsid protein VP3, which is hidden in the native virus.

105 underexplored and additional information is hidden in these exceptional collections.

106 terogeneous treatment effects [HTEs]) can be hidden in, and explain discordant results between, treat

107 e breeding season while reducing the risk of hidden inbreeding due to related founders from the same

108 capability may enable to access the usually hidden information in biochemical reactions like interme

109 of beta which summarize in compact form all "hidden" information specific for the evolving distribute

110 Drug design exploiting such a hidden inhibitor envelope has led to the development of

111 ells (when this corrugation membrane part is hidden inside the pericellular brush layer) and on treat

112 ng likely representative of many similar but hidden interactions sustaining life under highly reducin

113 To uncover hidden interactions, virus mutants that have lost defens

114 These data establish a hidden intrinsic isomerization activity of the dehydroge

115 While the quantity of hidden knowledge generated by LBD can be vast, we demons

116 t filtering can greatly reduce the number of hidden knowledge pairs generated, (b) for a specific ter

117 esent a detailed analysis of the quantity of hidden knowledge produced by an LBD system and the effec

118 Our world is governed by hidden (latent) causes that we cannot observe, but which

119 tion of electron-gas formation for screening hidden lattice instabilities, rejuvenated near the inter

120 standing what additional relationships these hidden layer abstractions have with the cancer cellular

121 show that the latent variables in the first hidden layer correctly captured the signals of yeast tra

122 color spaces with the fully-connected multi-hidden layer NN.

123 10-layer feed-forward neural network with 1 hidden layer of 10 neurons was trained to predict acuity

124 IC,C), utilizes 11 input variables, a single hidden layer of 4 tanh activation function nodes, and a

125 lends support to our hypothesis that the 1st hidden layer of a deep learning model trained on gene ex

126 We found that addition of a hidden layer of neurons employing non-rewarded STDP crea

127 del selection results indicated that the 1st hidden layer of our deep learning model should contain a

128 The test we developed exposes a hitherto hidden layer of personal variants that promise to shed n

129 Using the 3rd hidden layer representation of each tumor as learned by

130 suggesting that the hidden units in the 3rd hidden layer representations captured a methylation sign

131 erg Marquardt algorithm and 4 neurons in the hidden layer with the correlation coefficient of 0.96 an

132 chitectures with different configurations of hidden layer(s) and amount of pre-training data and comp

133 enes regulated by latent variables at higher hidden layers are often involved in a common biological

134 y, a deep sparse auto-encoder model with two hidden layers, called iSS-PC, was constructed based on m

135 tonians using cold atoms revealed previously hidden local correlations.

136 perianal melanoma is often dismal because of hidden location and diagnosis delay.

137 ortant feature of T2D, and may be driven by 'hidden' LPS.

138 we report on the direct observation of such hidden magnetic correlations via quantum gas microscopy

139 The hidden Markov model (HMM) has been a workhorse of single

140 or that are siblings of the donors, using a hidden Markov model (HMM) of identity-by-descent (IBD) s

141 f highly informative copying states within a Hidden Markov Model (HMM) phasing algorithm.

142 The hidden Markov model (HMM) search tools now use HMMER3, d

143 ently available gene-finders has a universal Hidden Markov Model (HMM) that can perform gene predicti

144 omatin-state signatures using a multivariate hidden Markov model (HMM) that explicitly models the com

145 Using a combination of profile Hidden Markov Model (HMM)-based homology searches, netwo

146 a multiple sequence alignment and a profile hidden Markov model (HMM).

147 One such promising method, the infinite hidden Markov model (iHMM), generalizes the HMM that its

148 for clonal family inference based on a multi-hidden Markov Model (multi-HMM) framework for B cell rec

149 Here we develop a novel Variational Bayesian Hidden Markov Model (VB-HMM) to investigate dynamic temp

150 We present a hidden Markov model based approach we call delta-bitscor

151 We develop an extended hidden Markov model capable of accurately describing the

152 notated existing mitochondrial genomes using hidden Markov model gene profiles.

153 1000 RNA-binding proteins are identified by hidden Markov model searches, of which mRBPs encompass a

154 iological knowledge with the non-homogeneous hidden Markov model that models spatial correlation.

155 eta variables to capture the variances and a Hidden Markov model to characterize the reads dependency

156 ally methylated DNA, we were able to train a hidden Markov model to distinguish 5-mC from unmethylate

157 a software application, AD-LIBS, that uses a hidden Markov model to infer ancestry across hybrid geno

158 orporated the family relationship and used a hidden Markov model to jointly infer CNVs for three samp

159 method represents DNA binding sequences as a hidden Markov model which captures both position specifi

160 The MCAST algorithm uses a hidden Markov model with a P-value-based scoring scheme

161 Mark (DMR detection based on non-homogeneous hidden Markov model), a novel Bayesian framework for det

162 e this limitation, we present a hierarchical hidden Markov model, diHMM, to systematically annotate c

163 d were as follows: multivariate mixed model, hidden Markov model, logical algorithm, k-nearest neighb

164 we develop a traveling salesman problem and hidden Markov model-based computational method named reC

165 Profile Hidden Markov Model-based homology search has been widel

166 ent library by sampling from an Input-Output Hidden Markov Model.

167 cing data, in particular exome data, using a hidden Markov model.

168 Using Bayesian model selection applied to hidden Markov modeling, we found that SVs oscillated bet

169 is distribution as hierarchical interrelated hidden Markov models (hiHMMs), which describe these sequ

170 We used multi-state hidden Markov models (HMM) to characterize states of div

171 This is based on hidden Markov models (HMMs) and is available together wi

172 Hidden Markov models (HMMs) and transition density plots

173 babilistic models are mostly based on either hidden Markov models (HMMs) or transducer theories, both

174 in families are often represented by profile hidden Markov models (pHMMs).

175 s for understanding time-series data such as hidden Markov models and time-structure based independen

176 sensitive software pipeline based on profile hidden Markov models constructed from manually curated I

177 a robust bioinformatics pipeline exploiting Hidden Markov Models for the identification of nuclease

178 rithm, called Sequence2Vec, which maps these hidden Markov models into a common nonlinear feature spa

179 By integrating Haar wavelets with Hidden Markov Models, we achieve drastically reduced run

180 ost genotype refinement methods are based on hidden Markov models, which are accurate but computation

181 of the more standard classical ones, such as hidden Markov models.

182 in multiple sequence alignment tool based on hidden Markov models.

183 In this paper, we propose a hidden Markov random field (HMRF) based Bayesian method

184 our previous work, we have developed a novel hidden Markov random field (HMRF) based Bayesian method,

185 WAS datasets for multiple phenotypes using a hidden Markov random field approach.

186 through Markov state models and the related hidden Markov state models may be used to establish mech

187 an unsupervised machine learning method for Hidden Markov Trees (HMTs), which can be applied to larg

188 Here, we describe 4C-ker, a Hidden-Markov Model based pipeline that identifies regio

189 A hidden-Markov model test for selection also found widesp

190 Moreover, hidden memories are remarkably flexible: an instruction

191 mantle may represent one of Earth's largest hidden microbial ecosystems.

192 eflect contextual differences (often termed "hidden moderators") between the original research and th

193 r this activity has features indicative of a hidden movement command.

194 tial of WGS to uncover atypically localized, hidden mutations in patients who lack exonic mutations i

195 ms are additionally encoded within latent or hidden neural codes that can help reinvigorate active WM

196 eural circuits which has revealed previously hidden neural interactions in a large population of cell

197 al neural networks with a variable number of hidden neurons.

198 hree-dimensional depth imaging, and tracking hidden objects around a corner.

199 game in which players have to find a target hidden on a board, to investigate how the rounds are inf

200 uld be implicated, and in 1 patient may have hidden or triggered chronic GVHD.

201 nd temperatures, are performed to reveal the hidden order associated with the seemingly-irregular int

202 This behavior reveals that hidden order depends strongly on tuning outside of the U

203 the magnetic proximity coupling stabilizes a hidden order in FeSCs, which may also apply to other str

204 We find that while hidden order is monotonically suppressed and destroyed f

205 The second-order phase transition into a hidden order phase in URu2Si2 goes along with an order p

206 r parameters can be employed to reveal their hidden order.

207 volution of the critical fields for both the hidden-order (HO) and large-moment antiferromagnetic (LM

208 ous values of Fe concentration x in both the hidden-order (HO) and large-moment antiferromagnetic (LM

209 on intermetallic compound URu2Si2 exhibits a hidden-order phase below the temperature of 17.5 K, whic

210 Altogether, our findings demonstrate that hidden orthologs comprise a significant proportion of th

211 Hidden orthologs do not show unusual sequence compositio

212 a correlation between the number of putative hidden orthologs in a lineage and its "average" evolutio

213 evolutionary distances and identify putative hidden orthologs in large transcriptomic databases by tr

214 e gene complement of an organism consists of hidden orthologs, i.e., those with no apparent homology

215 9 flatworm lineages to recover 3427 putative hidden orthologs, some unidentified by OrthoFinder and H

216 d weak positive selection appear to underlie hidden orthology in Platyhelminthes.

217 analysis of arterial waveform that extracts hidden oscillations in the waveform that we called intri

218 This supra-tauc window was previously hidden, owing to a lack of experimental methods.

219 l, and the scope of the epidemic was largely hidden, owing to generally mild infections and no establ

220 ng itself but also the identification of the hidden paint layers what makes it much more versatile as

221 ltural Heritage that deal, for example, with hidden paintings vandalized with graffiti or covered by

222 Here we uncover the hidden part of the blood proteome via novel SpotLight ap

223 tivity, without the need for pre-existing or hidden pathology.

224 We identified hidden patterns embedded in this time-series gene expres

225 hod offers an alternative way for uncovering hidden patterns embedded in time series gene expression

226 Softness is designed to capture the hidden patterns in relative particle positions that corr

227 h approximates the joint distribution of the hidden peak status by a set of independent random variab

228 The ability to predict hidden phases under extreme conditions is not only cruci

229 h complex network analysis allows to uncover hidden plants relationships related to their evolutionar

230 se, but these estimates might be inflated by hidden pleiotropy.

231 owever, the biological significance of these hidden polypeptides is still unclear.

232 enome-wide association studies (GWAS), where hidden population structure can create fictitious associ

233 ate the sizes of epidemiologically important hidden populations, such as sex workers and people who i

234 ion with submicron precision and reveals the hidden potential for chemotaxis within bacterial biofilm

235 while learning about slot machines yielding hidden preferred and non-preferred food outcomes with va

236 lms grown on (001) substrates, and observe a hidden, previously unreported, non-equilibrium structure

237 Computational modeling can reveal hidden principles of the system by classification of ind

238 challenges, which are mainly related to the hidden programming languages and electronic details of t

239 Interactions can reveal otherwise hidden properties of intentional agents, such as thought

240 While it is applied to estimate the hidden properties of the thalamus and explore the mechan

241 -time capability to estimate thalamocortical hidden properties with high precision under both normal

242 l-time estimation system for thalamocortical hidden properties.

243 with Lewy Bodies (DLB), on peptide level the hidden proteome contributed almost as much information t

244 together, these results reveal a previously hidden relationship between cellular metabolism and geno

245 complex traits in founder populations, where hidden relationships may augment the inherent genetic in

246 f storing the entire mass of the oceans as a hidden reservoir.

247 We previously identified a class of hidden self-antigens known as T cell epitopes associated

248 cruited in a similar manner by conserved but hidden sequence patterns in the M protein.

249 monic nanoparticle substrates, revealing the hidden shape of the nanoparticles while also mapping loc

250 nal framework which effectively utilizes the hidden shared knowledge from some MMP types to enhance p

251 topher Goatley and Simon Bran introduce the 'hidden' small fishes found on coral reefs.

252 ifferent assemblies will represent different hidden sources of upstream firing activity.

253 tive strategies, learning effects, and other hidden sources).

254 We present a nonlinear multidimensional hidden state (NMHS) approach that achieves interaction s

255 muli provide ambiguous information about the hidden state of the environment, leading to the proposal

256 xual systems influence diversification using hidden state speciation and extinction analysis (HiSSE).

257 ording to the dynamic coding framework, such hidden state transitions flexibly configure memory netwo

258 nattended items remain robustly coded in the hidden state, decoupling attentional focus from cue-dire

259 ent to wipe the corresponding trace from the hidden state.

260 Finally, the strength of hidden-state coding predicts the accuracy of working-mem

261 arning rule that combines cached values with hidden-state inference.

262 signal based on an inferred distribution of hidden states (a 'belief state').

263 a perturbation approach to measure mnemonic hidden states in an electroencephalogram.

264 ional system guides inference concerning the hidden states of other agents, such as their beliefs, pr

265 vides optimal online estimates of unknown or hidden states of the world, based on previous observatio

266 PSSV features a mixture model with hidden states representing different mutation patterns;

267 To experimentally detect our predicted hidden states, we use rapid mass spectrometric footprint

268 s a TD learning framework that operates over hidden states.

269 ramework can automatically extract effective hidden structural features from the encoded raw sequence

270 This representation reveals hidden structure-function relationships in biomolecules.

271 x 10(-4) in an ANCOVA with an adjustment for hidden substructures).

272 eveals the O'Nan pariah group as a source of hidden symmetry in quadratic forms and elliptic curves.

273 of the depleted isotopes is useful to limit hidden systematic errors.

274 g, participants make reaching movements to a hidden target and receive positive feedback when success

275 an participants make reaching movements to a hidden target and receive positive reinforcement when su

276 In hidden-target learning and probe trials, hAPP mice and M

277 s that includes the visible-target training, hidden-target learning, and probe trials that are typica

278 ed for compound screening measurements like "hidden-target screening" in complex environmental matric

279 paradigm to investigate the neural basis of "hidden", temporarily active representations in the servi

280 auses of phenotypic variation that have been hidden to date.

281 variations occurring within a few years are hidden to routine measurement techniques.

282 Infants had to remember the location of a hidden toy before pointing to indicate where they wanted

283 with common clinical manifestations that are hidden under the current periodontal classification sche

284 eving dynamic features that may otherwise be hidden under the linear spectrum; its extension to the t

285 ith favorable prognosis, suggesting that the hidden units in the 3rd hidden layer representations cap

286 rning algorithms that use multiple layers of hidden units to capture hierarchically related, alternat

287 eep learning model should contain about 1300 hidden units to most effectively capture the covariance

288 xtensive genetic variation that has remained hidden until now.

289 yer of observed variables and four layers of hidden variables.

290 in which differential states are embedded as hidden variables.

291 which can be combined to uncover previously hidden variation.

292 ge property enhancements may however also be hidden within already well-known materials, when their s

293 , which detected conserved sequence patterns hidden within hypervariability.

294 shed light on this question by showing that, hidden within the antigenic variability of many M protei

295 ce it contains, but the material composition hidden within the cloak is not detectable in practice.

296 data to identify large-scale unknown effects hidden within the data.

297 ng intergenic/intervening ncRNAs (lincRNAs), hidden within the large amount of information obtained t

298 Detecting and healing these hidden wounds may help prevent and treat psychopathology

299 In turn, these "hidden wounds" of childhood trauma can affect brain deve

300 e micro-SORS potential to reconstruct also a hidden writing covered, for example, with paper sheets t