ライフサイエンスコーパス: feature

1 agnosis with SPR was used to verify this new feature.

2 incorporation of weights for each penalized feature.

3 ion of known luminescent COF systems will be featured.

4 zoans and highlighting unique plant-specific features.

5 ions used for global integration of stimulus features.

6 e human disease, it shares many pathological features.

7 iant on several cell type-specific chromatin features.

8 g both the conserved features and the unique features.

9 th regard to clinical and concurrent genetic features.

10 st available humanized mouse model with such features.

11 have been invoked to explain these dynamical features.

12 model consisted of 4 habitat evolution-based features.

13 nst a huge database with billions of genomic features.

14 ne expressions are weakly correlated imaging features.

15 ve and soma-specific promoters have distinct features.

16 ation with ROP diagnosis and higher risk ROP features.

17 ition of the sample based on its geometrical features.

18 vely than far-preferring clusters, to low-SF features.

19 epresenting the genomic positions of genomic features.

20 ocess rather than processing of local visual features.

21 lly the learning of reward predictive visual features.

22 The Pb(4)S(3)Br(2) nanocrystals herein feature a remarkably narrow size distribution (with a si

23 This method features a broad substrate scope and good functional gro

24 ting Fe(II) chromophore archetype, FeNHCPZn, features a highly polarized CT state having a profoundly

25 Each bimetallic complex features a relatively short Ni-M bond length, ranging fr

26 l rich phase behavior for this simple model, featuring a broken-symmetry striped phase that is disrup

27 expeditious total synthesis of hemiasterlin featuring a four-component Ugi reaction (Ugi-4CR) as the

28 eading to the formation of "pro-pyrazinones" featuring a hetero-tricyclic architecture.

29 nide (XylNC) adducts of 1, which display EPR features akin to those observed in the putative N(2) com

30 earning model pretrained on Fourier spectrum features allows efficient classification of electrograms

31 ared with RS alone and clinical-pathological features alone using likelihood ratio tests.

32 These solvent-exposed sites featured an axial ZFS of 0.21 cm(-1) when hydrated.

33 roduces the VaC tracker, a web resource that features an overview of the COVID-19 'vaccine landscape'

34 urethanes (PUs) and a new class of materials featuring an unprecedented backbone structure, the polya

35 al/mesenchymal cells, which display invasive features and alterations in metastatic tropism when xeno

36 (FDR) < 0.05 were detected between lipidomic features and clinical biomarkers.

37 ASAP-SML identifies features and combinations of feature values found in the

38 on algorithm is effective in recognizing key features and control false discoveries for class-imbalan

39 ation test, identifies correlated epigenetic features and finds clusters of features that are differe

40 ures outperform those using only significant features and frequently provide high predictive performa

41 Currently in order to relate protein features and gene neighborhoods information to phylogeny

42 ry into cells, clarifying both the conserved features and the unique features.

43 itional locality constraints on the spectral features and therefore helps provide a much more granula

44 phic profile, clinical features, topographic features, and biomechanical and aberrometric characteris

45 relapses progressing to leukodystrophy-like features, and extensive cortical encephalitis evolving t

46 dels only partially recapitulate key disease features, and pathophysiology is poorly understood.

47 eatures of early dystonia, early tonic motor features, and sensorimotor aura.

48 y, vaccination status, type of IPD, clinical features, and short-term evolution.

49 the posterior part and characteristic facial features appeared to be unifying findings.

50 These features are related to socio-economic factors but also

51 iences of changes to organisation contextual features arising from the shift pattern change, and to e

52 We further identify response features arising in the first weeks of infection, for ex

53 elp identify novel predictive biomarkers and features as well as therapeutically relevant cell types,

54 aptic transmission are well known, and their features, as their abundance or spatial distribution, ha

55 rved intricate assemblies and human-specific features associated with pathologies.

56 The clinical features associated with postoperative PVR were determin

57 eostasis, including at pre-ART, are the main features associated with sustained viral control after A

58 Investigation of these features at Kilauea Volcano, Hawai'i, using an integrati

59 ping platform that collects >2000 behavioral features based on machine learning.

60 All single feature-based LightGBM models were then integrated into

61 tively, these data uncover shared and unique features between neural resident macrophages and emphasi

62 Results indicated shared features between the CHD8 and target groups that include

63 ctroretinography findings have pathognomonic features, but quantitative assessment reveals variabilit

64 ge features were combined with five clinical features by using Bayesian inference to develop probabil

65 onse, signal intensity ratios of a metabolic feature calculated between two samples may not reflect t

66 These features can be accessed via four interfaces: the comman

67 Radiomics texture features can serve as potential biomarkers for determini

68 Nuclear receptor modulators, which often feature carboxylic acid motifs for target engagement, ha

69 d harbor molecular, cellular, and phenotypic features characteristic of formative pluripotency.

70 dels trained on only the top four predictive features (CI, asymmetry, hyperchromatism, and cytologic

71 Two home-built instruments were utilized, featuring coherent anti-Stokes Raman scattering and stim

72 ths postoperatively was the only significant feature correlated with postoperative BCVA at 6 months (

73 to evaluate prevalence, staging and clinical features correlated with NAFLD among patients with heart

74 There were significant differences in Raman features corresponding to the phosphate and carbonate ba

75 se (phase III), most of the 169 standardized features could be excellently reproduced (166 with CT; 1

76 eview we describe the epidemiology, clinical features, course, and outcomes of AFM to help to guide d

77 The resulting metal-organic ferrimagnets feature critical temperatures up to 242 degrees C and a

78 Therefore, integrating features derived from these additional factors together

79 carcinoma and CRPC-NE, we identified CRPC-NE features detectable in the circulation.

80 neurogenic progenitors show cell biological features different from multipotent progenitors, raising

81 ccess to the precise fabrication of polymers featuring diradical character which are potentially usef

82 by a unique set of cytogenetic and molecular features distinct from de novo AML.

83 Phosphagallenes (1 a/1 b) featuring double bonds between phosphorus and gallium we

84 om over-correction and alter true biological features (e.g. cell size) due to our limited ability to

85 History can include prodromal features (eg, rapid eye movement sleep behavior disorder

86 ross validation (LPOCV) scheme and recursive feature elimination technique applied for feature select

87 Recursive feature elimination using random forest (RFE-RF) was use

88 These features emerge mostly due to the different transport ti

89 penalized regression has been applied to 38 features extracted from PPG, whereas for DL several conv

90 ence of different algorithms and settings on feature extraction and following filtering steps.

91 ow includes image acquisition, segmentation, feature extraction, and analysis of high-dimensional dat

92 teps, such as preprocessing, data selection, feature extraction, classification and model validation.

93 Ventricular segmentation, radiomics features extraction, and machine learning can be used in

94 g their mutual dependence on genetic network features, fitness landscapes, and developmental system d

95 emblies appears to be a critical biophysical feature for engendering inherent acute synaptotoxicity,

96 AxoNet does not rely on hand-crafted image features for axon recognition and is robust to variation

97 urther analysis, generally using the general feature format (GFF) or its descendants, gene transfer f

98 Clinical features from 87 patients with LEMS, occurring within th

99 entricle on CAC-CT, extracting 107 radiomics features from the volume of interest.

100 The feature fusion method statistically significantly outper

101 The liver imaging features generated by CNN may have the potential to pred

102 ive cell type or state, characterized by the feature genes as markers.

103 The signature constructed using the seven features had 98% [93%, 100%] sensitivity and 91% [84%, 9

104 Geometric feature has been applied to predict cerebral aneurysm ru

105 These features have led to many techniques for screening and d

106 We assessed feature importance using a random forests classifier and

107 where the addition of structure model-based features improved AUC from 0.611 and 0.520 to 0.655 and

108 rdinate multicellular movements, a conserved feature in twitching bacteria.

109 in addition to T2D, cardiovascular diseases featured in 18 of the top 20 combinations most highly as

110 clustering methods that are able to cluster features in a fast and reliable way are necessary.

111 Phakic RD with cataract shared several features in common with pseudophakic RD.

112 lly identifying groups of patients who share features in common, more than current DSM diagnostic con

113 addition, GMSimpute is able to identify the features in downstream differential expression analysis

114 ne 2 receptor (D2R) and cause psychotic-like features in mice.

115 pid classes and helps to assign 133/58 lipid features in positive-/negative-ion mode from mouse cereb

116 The top four important and congruent features in predicting the phenotype identified by these

117 evious methods for identifying interpretable features in RFs and brings them together under a correla

118 The genome-wide cross-trait analysis features in several analytic aspects: genetic correlatio

119 they typically require dedicated structural features in the enzyme, such as a nucleotide hydrolysis

120 We test whether congruent context features, in addition to content similarity, support ser

121 These features include enhancement of the nuclear localization

122 malian systems and that some types of linear features, including both roads and transmission lines, a

123 ts dimorphic lifestyle showcases distinctive features, including cellular asymmetry and differentiati

124 rial infections with robust mucoinflammatory features, including elevated expression of Th2-associate

125 or, two features that allow a strong test of feature independence.

126 tes, we used machine learning to identify 59 features indicative of proteomic, structural, regulatory

127 mechanisms that recruit existing biophysical features into higher-level architectures.

128 This particular feature is used for targeting fast-proliferating tumor c

129 standing how genetics influence mammographic features is important because the mechanisms through whi

130 One of the main histological features is neurotropism, which results in frequent peri

131 mal tissues as reported in previous studies, featuring it as one of the most distinctive signatures o

132 istics (primary T4, right colon), biological features (K/N-RAS status), and response to chemotherapy

133 The derivatives are highly fluorescent and feature low oxidation potentials.

134 ities between features to generate a concise feature map in the form of a two-dimensional image by mi

135 The tectal feature map originates from a linear combination of dive

136 of molecularly diverse sparsely-distributed features may benefit from 3D-reconstruction.

137 cases were negative but had presented a few features mimicking PTB.

138 ed in particular locations by marine habitat features, ocean physical processes, and invertebrate bio

139 The feature of 24-h electricity generation shows great poten

140 This cardinal feature of adaptive immunity is achieved by the assembly

141 sue fibrosis is a central pathophysiological feature of atrial fibrillation that also hampers its tre

142 Central Europe, or the Balkans have a common feature of eating large quantities of fermented foods.

143 fic inter-hemispheric asymmetry is one major feature of meditation, and that mental processes specifi

144 Therefore, antagonism is a common feature of odor mixture encoding in OSNs and helps in no

145 s life of aerobic species and is a prominent feature of pathological states encountered in bacterial

146 consumptive effects (NCEs), are an important feature of predator-prey ecology, but their significance

147 An important unique feature of RETrace was the introduction of linear amplif

148 specific CD4(+) T cells display a prominent feature of Th2 and Th17 differentiation and exert high e

149 metry in neuronal processes is a fundamental feature of the human brain and drives symptom lateraliza

150 This is likely a conserved feature of the metazoan SAC, since the relevant PLK1 and

151 By integrating the antifouling feature of the sensor, we significantly improved the sig

152 A unique feature of the vertebrate Hh pathway is that signal tran

153 el processing streams segregate many diverse features of a sensory scene.

154 laminopathy-containing diseases, which have features of accelerated aging and osteoporosis.

155 e study population, 108 cases presented HRCT features of active PTB and the remaining cases were nega

156 strogliosis, neurodegeneration, and clinical features of ALS.

157 croRNA modules were associated with clinical features of asthma.

158 ation of these biopsies including additional features of ATI, we developed a final multivariate model

159 In detail, we discuss chemical features of chimeric molecules and their use for targete

160 ds to go beyond associations and incorporate features of disturbances, species traits, rapid evolutio

161 reaction on meta-DNA to transfer the dynamic features of DNA into the meta-DNA.

162 olecular basis for each of the many clinical features of DS, it also provides opportunities for impro

163 Four key features of DVME that allow for the rapid collection of

164 transcriptomic level to identify the unique features of each model.

165 recovery, and no aura from posterior insula features of early dystonia, early tonic motor features,

166 that our assembly model reproduces many key features of ecological systems, such as the role of gene

167 zed manner for the presence of 3 tomographic features of edema.

168 administration should be guided by clinical features of encephalitis, rather than autoantibody posit

169 Albumin induced features of ER stress in renal tubular cells with ATF3/A

170 eveal a detailed and quantitative map of the features of excitatory synapses in the lumbar spinal cor

171 igh temperatures and low humidity are common features of forest edges and microclimate analyses revea

172 We tested for three key features of HPA aging identified in many human studies:

173 Here, we highlight the functional features of human and mouse NaCTs and provide a plausibl

174 Because most of the clinical features of hypothyroidism are nonspecific, the diagnosi

175 inherent challenges of predicting structural features of integral membrane enzymes.

176 tion and axonal loss, which are pathological features of multiple sclerosis (MS), the most common dis

177 y that accounts for all previously described features of PAX inhibition, including state dependence,

178 ography, Philips et al. explore the distinct features of PD-L2 and identify a specific evolutionary e

179 The features of perfect absorption could be observed because

180 s, using a model incorporating the principal features of photoreceptor transduction.

181 d EF skills to an increased risk for general features of psychopathology.

182 g clinical characteristics and physiological features of sleep disturbance in specific DSM anxiety-re

183 Integrating standard features of smFRET analysis, DeepFRET consequently outpu

184 Adverse prognostic features of the cohort included short median PSA doublin

185 cedented results in melanoma, the biological features of the durable responses initiated by these dru

186 ve a critical supersaturation reproduced key features of the experiments.

187 an determine the domains that associate with features of the filament, such as the 11 stripes of acce

188 test-retest variability from 3 categories of features of the first VF: (1) base parameters (age, mean

189 Based on these data, features of the intestinal microbiome might be used for

190 We suggest that similar topographical features of the liquid film are produced during the stan

191 nalysis was used to elucidate the structural features of the macrocycles.

192 ological analysis to characterize structural features of the PH domain in its autoinhibited and activ

193 wever, it is unclear how distinct structural features of the two PA2G4 isoforms translate into differ

194 ranscription of these genes largely retained features of their regulation in space and time.

195 is new method allowed calculation of kinetic features of these metabolites, thus enabling a detailed

196 rents in the apical dendrites reproduces all features of these neurons.

197 chromatography-free and suppression-reducing features of this prototype instrument, we successfully d

198 It has been challenging to illuminate the features of this synaptic network due to the small size

199 ique immunological environment with specific features of tissue renewal and a receptive endometrium.

200 We identify the features of TOP sequences that determine their potency a

201 Overall, original features of types 1 (T1) and 2 (T2) in sCJDVV1 and -VV2,

202 Effects of linear features on animal movement have seen relatively little

203 Nascent geographic atrophy (nGA) describes features on OCT imaging previously observed to precede t

204 ovide insights into the impact of structural features on potency and chemical stability, informing fu

205 the role of focal inflammation, a treatable feature, on neuro-axonal injury, is paramount to optimiz

206 Trained on these extracted features only, a supervised classifier, DeepC, can effec

207 can be engineered to integrate sophisticated features optimised for precision-targeting of a wide ran

208 uggesting involvement of multiple structural features or a nullified function of the chimeric constru

209 many cases, it is unclear which experimental features or model assumptions are necessary for the obse

210 s showed either no features, transient burst features, or decreasing intraburst frequencies with time

211 Models trained with all features outperform those using only significant feature

212 P = 4.1e-5), and plasmacytic differentiation features (P = .008).

213 quential approach to sampling from the joint features population distribution in order to create a co

214 e homogeneous cohorts with shared biological features, potentially facilitating the identification of

215 gous gyrases is in agreement with structural features present: B. subtilis gyrase is a minimal enzyme

216 These 'rare' sugars feature prominently in bioactive natural products and ph

217 in PCOS should focus on women with high-risk features rather than all women with PCOS.

218 ting aging men, but the underlying molecular features remain poorly understood, and therapeutic optio

219 d and accurately predict such representative features remains a grand challenge.

220 The significance of these features remains unclear.

221 The protocol features remarkably mild conditions (25 degrees C, 1 bar

222 Our results show that general and dynamic feature replacement methods achieve a higher performance

223 present our cohort data in light of clinical features reported for each gene-specific disease subtype

224 dies provided new insights into the chemical features required for optimal interaction at the binding

225 It is unclear whether these features respond to anti-VEGF therapies differently.

226 ed information and presents it in a central, feature-rich portal.

227 fects possibly akin to the dysmorphic facial features seen in individuals harboring putatively pathog

228 f the "possible" group, considering only the features selected by the algorithm, resulted in high agr

229 capacity were extracted and optimized using feature selection algorithm and machine learning, from w

230 ng a random forests classifier and performed feature selection based on measuring permutation importa

231 Feature selection can improve the accuracy of machine-le

232 A systematic feature selection process was performed to select tempor

233 MHC-I coding strategy, and developed a group feature selection-based deep sparse neural network model

234 toperative PVR were determined by univariate feature selection.

235 ve feature elimination technique applied for feature selection.

236 ilding block in organic synthesis because it features several reaction sites with nucleophilic or ele

237 Presence of >=1 of these features should be considered an indication for oncologi

238 r cell lines with characteristic mesenchymal features show simultaneous up-regulation of vimentin and

239 s and mice that presents a motile ciliopathy featuring situs inversus totalis and asthenospermia.

240 micron-scale EGaIn thin-film patterning with feature sizes as small as 180 nm and 1 mum line spacing

241 d uniform metallic glasses with controllable feature sizes down to a few tens of nanometres, and aspe

242 tion kinetics that determines the achievable feature sizes.

243 isting metrics capture high-level structural features such as architectures, folds and conformity to

244 rtex is characterized by local morphological features such as cortical thickness, myelin content, and

245 Cancer stem cells (CSCs) have features such as the ability to self-renew, differentiat

246 The notable features such as the use of air that is considered as a

247 patterns of RelA and c-Rel signaling dynamic features, such as variations in duration or time-integra

248 oon diversity and infection rates, landscape features, such as vegetation cover and water body availa

249 hey produce calls with intermediate acoustic features, suggesting a more generic alarm signal.

250 from patients who responded to lithium; they featured sustained activity with large current injection

251 can facilitate the transmission of culture-a feature that songbirds and humans share.

252 examined crowding for motion and color, two features that allow a strong test of feature independenc

253 y of channel networks in landscapes displays features that are characteristic of nonequilibrium compl

254 ed epigenetic features and finds clusters of features that are differentially correlated between two

255 erformed to select temporal and spectral EEG features that contribute to texture classification but h

256 and Machine Learning (ASAP-SML), to identify features that distinguish one set of antibody sequences

257 However, RNA-seq has technical features that incumbent tests (e.g. t-test and linear re

258 ives as the sensing moiety and characterized features that influence photoswitching; however, we foun

259 rothermal brines, coupled with hydrogeologic features that promote advective groundwater flow.

260 sociated with expression of SNX19 transcript features that tag multiple rare classes of SNX19 transcr

261 Our case studies feature the versatility of tuxnet when using different t

262 o the difficulty of interpreting the complex features they learn.

263 Clinical features, tidal change in esophageal pressure (DeltaPes)

264 g a Lewis acid (LA(II)); we used this unique feature to further modulate the electrostatic environmen

265 f biologically motivated, structure-agnostic features to characterize molecules, should serve to miti

266 was used to identify the best combination of features to distinguish AAH from controls.

267 Here, we show that SOX11 confers distinct features to ER-negative DCIS.com breast cancer cells, le

268 We consider the similarities between features to generate a concise feature map in the form o

269 o evaluate the demographic profile, clinical features, topographic features, and biomechanical and ab

270 The type of algorithm employed during feature-tracking strain assessment has a significant imp

271 ted leave-one-out cross-validation to select features, train the model, and estimate model performanc

272 SP and unfavorable outcomes showed either no features, transient burst features, or decreasing intrab

273 Understanding the features underlying induction of these elements followin

274 We report differences in spectral features, unit-local field potential coupling, and infor

275 -SML identifies features and combinations of feature values found in the MMP-targeting sets that are

276 ght-driven third-generation molecular motors featuring various structural modifications at the centra

277 Clinical features vary depending on the tumor location.

278 Two candidate modules featuring voltage-dependent Ca2+-channels link these out

279 Based on the spatio-temporal EEG features, we developed a system for detecting pain perce

280 dia of human embryos with normal morphologic features, we found that the concentrations of TNF-alpha

281 Third, these image features were combined with five clinical features by us

282 These radiomic features were correlated with histopathologic attributes

283 High-risk features were defined by bulky tumors, variant histology

284 ve cohort, similar intraburst theta spectral features were evident in patients with favorable outcome

285 Associations with clinical and immunologic features were examined, including markers of atopy, type

286 jor clusters of genes exhibiting distinctive features were identified.

287 Peritumoral-rim radiomic features were most relevant to both classifications (p <

288 of sputum and oral microbiota to immunologic features were observed in this cohort of subjects with o

289 nment, grouping, and blank subtraction, 3303 features were obtained of wastewater treatment plant (WW

290 The detected features were reduced to 130 relevant time trends relate

291 importance of considering multiple maternal features when assessing variation in maternal allocation

292 are important for seeing even simple visual features, whereas other areas have more complex effects

293 have canonical pepsin-like aspartic protease features, whereas others have unusual attributes, includ

294 hytrids are early-diverging fungi that share features with animals that have been lost in most other

295 CV method chooses a more parsimonious set of features with fewer false positives than nCV.

296 Over 400 features with high segregating capacity were extracted a

297 cess for identifying enrichment and creating features with independent complementary data sources can

298 Molecular features with m/z differences as small as 1.79 mDa were

299 teins, we identified sequence and structural features within ALAS that position mtClpX and provide it

300 erform online sequence searches, yet, such a feature would be highly useful to investigators.