ライフサイエンスコーパス: classify

1 s other existing predictors and allows us to classify 1,760 genes-which are currently unascertained i

2 The model was able to accurately classify 100% of moldy homes and 90% of no mold homes.

3 sians and 25% in Europeans, and correctly re-classify 20-37% of the cases in validation cohorts that

4 15 days after symptom onset), and correctly classified 456 out of the 457 COVID-19-negative serum sa

5 5% CI, 75-93%) and an AUC of 0.78, correctly classifying 83% of the validation cohort.

6 fied with 81% overall accuracy and correctly classified 86% of those without VAs.

7 Using Nanopore data, we reliably classified a 20-species mock community and captured the

8 We classified a subset of miRNA binding sites as those that

9 n self-reported dietary intake, inability to classify a few plant foods as healthy and less-healthy,

10 be associated with shorter TTP and may help classify a group of patients with MPBC-HGT1 with high-ri

11 This review aims not only at recognizing and classifying a short selection of these emerging solvents

12 were filtered, and unreported variants were classified according to American College of Medical Gene

13 PET-2 was classified according to both 5-PS and percentage DeltaSU

14 For participants with diabetes, imaging was classified according to DR severity by a telemedicine re

15 Sampled populations were classified according to income, WHO region, gender, age,

16 ulin (Ig) M and IgG tested at diagnosis were classified according to serology at diagnosis: IgG negat

17 Patients were classified according to the BCLC algorithm in detail acc

18 covered a population code that allowed us to classify action exemplars irrespective of the visual for

19 patient's ICU discharge date to identify and classify adverse events.

20 test cohort (50 000 grids), CNN reproducibly classified AF image grids into those with/without rotati

21 CHR patients could be classified against healthy control subjects with 78% sen

22 The best model to classify AKs versus SCCs (area under curve (AUC) 0.814,

23 rall clinical diagnosis were estimated using classifying algorithms.

24 The 2D CNN classified all reconstructed ACLs correctly.

25 These were successfully classified and identified through supervised pattern rec

26 p a machine learning approach to molecularly classify and characterize tumour-immune phenotypes.

27 luate how these tissue-specific DNAm markers classify and predict asthma risk.

28 or matrix is demonstrated, which can detect, classify, and discriminate various intermixed tactile an

29 Thus, B2/ALU SINEs may be classified as "epigenetic ribozymes" that function as tr

30 Deaths were classified as "liver-related," "non-liver-related," and

31 Calories purchased from beverages classified as "not high-in" increased 5.7 kcal/capita/da

32 Fetal or neonatal abnormalities were classified as a major birth defect according to the Euro

33 The virus is classified as a member of the genus Orthohepevirus A wit

34 tory syndrome coronavirus 2 (SARS-CoV-2) was classified as a pandemic by the World Health Organizatio

35 atypical 3q26/MECOM and inv(3)/t(3;3) can be classified as a single entity of 3q26-rearranged AMLs.

36 netic resonance imaging; those with BMs were classified as active or stable.

37 lizations (24 937 weighted hospitalizations) classified as acute decompensated HF had available eject

38 Individuals clinically classified as AD dementia but having negative Abeta PET

39 University of Minnesota over 8.5 years were classified as adherent, nonadherent, or lost to tertiary

40 le compounds were identified, quantified and classified as alcohols, esters, acids, aldehydes, lacton

41 sumptive TB were recruited in The Gambia and classified as bacteriologically-confirmed TB, clinically

42 OBS discriminated women who were or were not classified as being fearful according to the TPDS (AUC .

43 Each case was classified as benign, borderline, or malignant.

44 ate a very low risk of malignancy and can be classified as benign.

45 specific EA address, of which 272 (5%) were classified as cerebral malaria while 1001 (10%) were sev

46 Materials and Methods Lesions classified as clustered microcysts at breast US were ret

47 payments were compared by third-party payer, classified as commercial, Medicaid, Medicare, manufactur

48 Most patients will be classified as complete responders if intervals less than

49 Comments were then classified as effective, mediocre, ineffective, or irrel

50 at protonation reactions cannot generally be classified as either charge- or frontier orbital-control

51 and digestive discomfort, participants were classified as either lactose intolerant (LI; n = 10, sel

52 These collective results led to MELK being classified as essential for cancer proliferation.

53 for treating neuromuscular disorders and are classified as essential medicines by the World Health Or

54 Most eyes classified as fast by spectral-domain OCT were classifie

55 es (GWAS) on a subsample of 1139 individuals classified as females, intersex or males using either me

56 baseline transthoracic echocardiography and classified as follows: (1) HG; (2) CLF-LG; (3) paradoxic

57 Participants were classified as frail if they had >=3 of the following cri

58 Eyes were classified as glaucomatous or non-glaucomatous based on

59 For grading, 34 (11.7%) were classified as Grade A, 193 (66.1%) as Grade B, and 65 (2

60 A total of 399 children were classified as having ADHD, with a prevalence ranging fro

61 a battery of neuropsychologic tests and then classified as having either a severe or a mild phenotype

62 Patients with COVID-19 were classified as having either minimal or severe disease.

63 th CRS who were identified, 600 (19.3%) were classified as having frequent exacerbation.

64 Among those newly classified as having IDH, an estimated 0.6% (95% CI, 0.5

65 Subjects were classified as having or not having CIED infection.

66 intained prognostic significance in patients classified as having progressive disease on the basis of

67 bamboos with some distinctive Nebraska GSSCP classified as herbaceous bamboos.

68 ILA areas were classified as high or low grade.

69 m a total of 5018 patients, 513 (10.2%) were classified as high, 2058 (41.0%) as intermediate, and 24

70 Assess SRs 2, confidence in SRs results was classified as high, moderate, low, or very low.

71 Overall, 5.6% of our study cohort were classified as HXP, whilst 4.4% satisfied criteria for LX

72 ROI reflectivity were classified as hypo-reflective or hyper-reflective.

73 Among 12 759 patients, 3240 (25%) were classified as improved by RC at 12 months, 8132 (64%) as

74 t and detection, perioperative stroke can be classified as intraoperative or postoperative.

75 previously unstudied variants were initially classified as likely benign (n = 2), likely pathogenic (

76 days (with 78 lesions biopsied and 12 [15%] classified as malignant).

77 crobial classes identified in the review are classified as medically important.

78 n species of large Pteropodid bats (formerly classified as megachiropterans), one of which echolocate

79 tes, and six species of small bats (formerly classified as microchiropterans), all of which echolocat

80 y analysis: aHR 0.61, p=0.005 "not reported" classified as minorities) with similar imaging utilizati

81 py Effects Research (CHARTER) study who were classified as neurocognitively unimpaired or with variou

82 no plan to restore sinus rhythm) and dyspnea classified as New York Heart Association class II or hig

83 Seven eyes were classified as no PVD on 6-mm scans and were classified a

84 There were 1,089 CHB patients, classified as no-NASH (n = 904, 83%) or NASH (n = 185, 1

85 The participants were classified as non-severe or severe periodontitis.

86 solutes, eight SLC22A family members remain classified as orphans.

87 classified as no PVD on 6-mm scans and were classified as partial PVD on 16.5-mm scans because vitre

88 idered as loss-of-function (LoF) alleles and classified as pathogenic.

89 late behind the discovery of penicillin, now classified as Penicillium rubens Biourge (1923) (IMI 153

90 Three events were classified as possibly related to a vaccine: one in the

91 The females were later classified as pregnant to artificial insemination, pregn

92 Aortoenteric fistulas are classified as primary when they develop on a native aort

93 Patients were classified as probable TAVR failure or probable THV fail

94 In eyes with severe disease, 31.6% were classified as progressing at moderate or faster rates by

95 iral load trajectories after 104 livebirths, classified as reflecting sustained suppression (31 [30%]

96 The isolates were classified as sequence type 2109 (ST2109)-a rarely seen

97 Of the 174 participants, 45% (56/124) classified as severe AS were reclassified as moderate AS

98 showed an abnormality on the MHMS, with 27% classified as severe.

99 y one-quarter of sting-induced reactions are classified as severe.

100 nvestigated for evidence of reinfection, and classified as showing strong, good, some, or weak/no evi

101 assified as fast by spectral-domain OCT were classified as slow by SAP and vice versa.

102 were obtained using linear mixed models and classified as slow if change was slower than -1.0 mum/ye

103 Admissions were classified as ST-elevation myocardial infarction (STEMI)

104 These were classified as strong or weak IRs based on the strength o

105 Currently, most materials are classified as trivial insulators, semimetals, and metals

106 tients in both exercise dosing regimens were classified as VO(2)peak responders (ie, Delta >=1.32 mL

107 resection, aneuploidy, male sex, and age was classified as weak.

108 Most of the Eocene GSSCP were classified as woody bamboos with some distinctive Nebras

109 ALN status was classified as: (i) ALN absent, (ii) ALN present but not

110 We find tubular protrusions, which we classify as TMTs, in a pancreatic cancer cell line, Dart

111 Volatile thiols in beverages can be classified aslow molecular weight volatile thiols (e.g.

112 vised approach revealed that breath profiles classifying atopy are not confounded by other patient ch

113 ototype artificial intelligence algorithm to classify basal lung opacities according to underlying pa

114 However, when the dataset was classified based on protein length and conformation at t

115 cases), 10 had no samples available and were classified based on the local review data, and 1 patient

116 gh each of the five outlets can be correctly classified based on their impedance peak height and widt

117 SNPs were classified based on their putative effect on annotated g

118 Mangroves were also classified based on their sedimentary setting, with carb

119 splicing defects are the most challenging to classify because the minimal level of full-length (FL) t

120 indicate the Setser80 SNP panel can reliably classify BGA for individuals of presumed Hispanic origin

121 PCR) with a statistical tool to identify and classify BRAF wild type (WT) and V600E mutant genes.

122 ecies including humans and proteomic data to classify breast cancer tumours.

123 ed in Autism Spectrum Disorders (ASD) can be classified broadly as either synaptic or developmental.

124 mated segmentation of fluid with every voxel classified by a convolutional neural network (CNN).

125 Somatosensory neurons have historically been classified by a variety of approaches, including structu

126 markers that include age and tumor histology classified by age-linked International Neuroblastoma Pat

127 input patterns that are surprisingly poorly classified by artificial and/or natural neural networks.

128 Neighborhoods were classified by census tract based on percentage of Hispan

129 The low- and high-risk patients classified by DGM-CM6 (RI-DR) had significant difference

130 healthy aged controls; 13,152 variants were classified by likelihood of pathogenicity.

131 ns and (ii) 288 human-source E. coli strains classified by PCR as ExPEC and non-ExPEC.

132 ODSWe studied 63 adults with type 1 diabetes classified by peak mixed-meal tolerance test (MMTT) C-pe

133 Acute decompensated HF was classified by standardized physician review and a previo

134 Background Gadoxetic acid is classified by the American College of Radiology as a gro

135 Obesity was classified by the BMI-for-age based on the WHO growth ch

136 (7%) had new transient or permanent symptoms classified by the CTCAE.

137 ysema, mortality was greater in participants classified by the deep learning algorithm as having any

138 -mer peptides for all the Swiss-Prot enzymes classified by the EC (enzyme commission) numbers and app

139 ere analyzed using random-effects models and classified by the Grading of Recommendations, Assessment

140 higher in the hyperinflammatory phenotype as classified by the model.

141 Incidental findings were classified by the study team as vascular, neoplastic, co

142 158 variants was annotated and independently classified by two additional laboratories using the ACMG

143 could predict impairment and mortality when classified by using a deep learning method.Materials and

144 othing and found that our model successfully classified cancer types and normal samples.

145 asso-selected metabolites were evaluated for classifying case status.

146 ficial effects, the proportion of antidromic-classified cells in each differed, 30 versus 6%.

147 nal pathology pipeline (CRImage) was used to classify cells in the H&E specimen into stromal, immune,

148 fect than sequencing depth on the ability to classify cells; secondly, this effect is greater when ce

149 reference standard, the AI system correctly classified chest radiographs as COVID-19 pneumonia with

150 obtained from different sites and accurately classified chronic low-back pain patients in two additio

151 h actigraphy, although problems may occur in classifying chronotype.

152 to-End deep learning framework, circDeep, to classify circular RNA from other lncRNA.

153 Fuchs' endothelial corneal dystrophy was classified clinically into early-stage (without edema) a

154 4 (95% Confidence Interval: 0.612-0.776) and classified correctly 62.4% of participants.

155 with linear discriminant analysis (SPA-LDA) classified correctly all samples, while the partial leas

156 he clinical implications of the findings, we classified CRC patients of independent data into two gro

157 osis in one age group (e.g., children) could classify diagnosis in another age group (e.g., adults).

158 ted whether the patterns of connections that classify diagnosis in one age group (e.g., children) cou

159 vo imaging probe incorporating S16 perfectly classified diseased and healthy prostates, supporting th

160 DL1 and their cognate ligands can be used to classify donors as KIR-advantageous or KIR-disadvantageo

161 ls afforded greater than 93% correctness for classifying dry and medium dry, medium, and sweet white

162 Conversely, visually classified DWMA was not predictive of motor development.

163 We classified dynamic changes in the maternal lipidome duri

164 To classify dynamically triggered sequences, we suggest mov

165 Two radiologists classified each radiograph as adequate or inadequate.

166 and 5 unaffected individuals, and correctly classify each individual.

167 on between patients and controls and used to classify each WM voxel in all subjects as characterized

168 On 6-mm scans, we classified eyes as stage 3 partial PVD when the posterio

169 On both scan types, we classified eyes as stage 4 when neither the premacular b

170 We also classified families of transcription factors that are in

171 ortex of people with refractory epilepsy and classified five facial expressions, based on neural acti

172 stress and shape variables, and finally, to classify fossil individuals into broad ingesta related h

173 This allowed the attended talker to be classified from single-trial EEG responses with high acc

174 Recent studies have sought to classify genes as pro-longevity or anti-longevity using

175 ng provides a robust and objective method to classify gliomas with high agreement to the current WHO

176 stratification allowed cognitive features to classify HCs from SCZs with 89.4% BAC.

177 n 7 T time-of-flight angiography we manually classified hippocampal vascularization patterns in older

178 n improved model of human mutation rates, we classify human protein-coding genes along a spectrum tha

179 ) can potentially provide powerful tools for classifying, identifying, and predicting patterns in cli

180 Using transfer learning, the model classifies images with an area under the ROC curve of 0.

181 Our cohort included patients classified in BCLC stage 0 (9.4%), A (59.5%), B (16.2%),

182 Predisposing factors may be classified in environmental, drugs- and individual- rela

183 -diffusion-reaction (CDR) equation, which is classified in mathematics as a linear, parabolic partial

184 Criteria were classified in one of four emerging themes: patient, cond

185 Mosaic variation may be classified in six ways: (a) germline or somatic origin,

186 hysiological, and transcriptomic features to classify interneurons in the mouse visual cortex, this w

187 were analyzed by 2 independent reviewers and classified into 1 of 10 categories, divided into 3 stage

188 Participants were classified into 3 groups: those without ECG-LVH, those w

189 cquired, who met the study criteria and were classified into 3 groups; IOM group (24cases), IORAT gro

190 to regulate autonomy in this study could be classified into 4 categories and nine strategies: I) Eva

191 tive impairment (320 [53%] were female) were classified into 8 A+/-/T+/-/N+/- categories according to

192 These new agents can be classified into different groups, mainly according to th

193 Mycobacterium tuberculosis (Mtb) strains are classified into different phylogenetic lineages (L), thr

194 nt regions of the flow network, which can be classified into flowing and stagnant regions, predominan

195 Patients were classified into food-dependent exerciseinduced anaphylax

196 HCs in teleosts are classified into four subtypes (H1-H4), each having diffe

197 Patients were classified into four temperature trajectory subphenotype

198 comprehensive results where interactions are classified into four types, according to their reliabili

199 Diffuse gliomas were classified into grade II and grade III.

200 Participants were classified into groups according to the requirement of h

201 ot have a documented relevant diagnosis were classified into groups of whether they may represent mis

202 Boars were classified into heat-tolerant (n = 6) and heat-susceptib

203 aturally occurring variants of HPV have been classified into lineages and sublineages based on their

204 ignant brain tumor, has been computationally classified into molecular subtypes whose functional rele

205 Patients from both cohorts were classified into one of four previously validated tempera

206 PC occurrences (N = 36,360) were classified into one or more subtypes: early onset (EO),

207 Behavior is readily classified into patterns of movements with inferred comm

208 They can be classified into proteins with 2/2 or 3/3 alpha-helical f

209 5 isolates belonged to the Eurasian lineage, classified into three subgroups (HA-II, HA-III, and HA-I

210 Subjects are classified into three subgroups according to histologica

211 celona (HCB) were prospectively included and classified into two groups; (a) LTP-monoallergic: those

212 Events were retrospectively classified into type 1 myocardial infarction (T1MI, athe

213 HAL's components can broadly be classified into: on- and off-lattice agent containers, f

214 curve (AUC) of multiparametric MRI signal to classify lesion age <4.5 hours was 0.86 (95% CI = 0.64-0

215 by investigating methods that can accurately classify, localize and segment artefacts in endoscopy fr

216 set of AAbs showing the best performance to classify malaria and bacteremia patients.

217 used for robust cancer m/z model building to classify medulloblastoma cancer from healthy tissue with

218 kov models and assessed their performance in classifying metagenomic sequences.

219 Though SPHARM have been used to analyze and classify migrating cells, such classification did not ex

220 , existing tools typically do not accurately classify MNVs, and understanding of their mutational ori

221 ncing (scRNA-seq) approach to systematically classify molecularly distinct cell populations in the mo

222 ons and discuss how these can be utilized to classify nanomotors into three broad classes: nanomotors

223 l transcriptomics has been widely applied to classify neurons in the mammalian brain, while systems n

224 We classify neurons on the basis of joint reliabilities to

225 acetone, and 1-nonanol that are decisive to classify OK and rancid samples; (c) heptanoic and hexano

226 e total of 1,214,875 reads detected could be classified only at the level of Fungi.

227 ntibody responses to eight P. vivax proteins classified P. vivax infections in the previous 9 months

228 differences in sex-specific genetic maps to classify pairs as maternally or paternally related-e.g.,

229 set and used machine-learning algorithms to classify participants based on psychosocial, neural, or

230 f multiple convolutional neural networks, to classify pathologic images by using smaller datasets.

231 Using molecularly classified patient-derived xenograft (PDX) lines, cultur

232 rofessional respondents, one-third routinely classified patients by severity.

233 We classified patients into three groups according to the H

234 s and/or in monogenic lupus-associated genes classified patients with the highest disease activity.

235 A threshold capable to classify patients according to MLR, NLR and PLR, was com

236 tissue-derived 5hmC features can be used to classify PDAC cfDNA (AUC = 0.88).

237 e involves correctly diagnosing and properly classifying people to effectively customize prevention,

238 agents, we have developed a new approach to classify phage ORFs into ten major classes of structural

239 h, and Reserve (AWaRe) framework was used to classify prescribed antibiotics.

240 The readers were asked to classify presence of tumor on a five-point scale.

241 e ability of the ML-based model to correctly classify propofol concentration in the therapeutic range

242 We highlight and classify recent and upcoming developments in the three p

243 regions (P<0.01), applied a Markov model to classify regulatory elements, and annotated this model w

244 nd near infra-red (Vis/NIR) spectroscopy can classify rice according to sub-population and production

245 the biomarker panel was able to successfully classify samples by dose categories below or above 2 Gy

246 also show that the signature can accurately classify sequence variants in EED and SUZ12, which encod

247 Hidden Markov models are used to classify sequences by determining the RefSeq they are mo

248 We developed a machine learning workflow to classify single cells according to their mass spectra ba

249 ively, these findings suggest a paradigm for classifying, staging, and treating these diseases.

250 World Health Organization has classified, standardized and maintained all human diseas

251 del to estimate an optimal VDP threshold for classifying subjects into high- versus low-exacerbation

252 olutional neural networks, purpose-built for classifying supersized heterogeneous images.

253 nd developed a regression-based algorithm to classify switching between processive, diffusive, and st

254 c regression models and random forest models classified T cells according to activation state with 97

255 erage the inferred patient topic mixtures to classify target diseases and predict mortality of patien

256 re also found in Tconv, and machine learning classified the great majority of these shared alphabeta

257 ernational Task Force on Disease Eradication classified the political will for typhoid eradication as

258 group mixing by applying a novel approach to classify the active and non-active researchers in the co

259 We aim to classify the evolutionary dynamics of such asymptomatic

260 A particular emphasis of this review is to classify the existing reactivity modes of CF(3)CHN(2) an

261 on dFC network interactions could accurately classify the first half of SA scans.

262 izable histologic feature representations to classify the major histopathologic classes of brain tumo

263 The objective of this work was to classify the major phenolic compounds, compare the effec

264 d to train a machine learning-based model to classify the mold status of a home.

265 ferent chemometric algorithms were tested to classify the spectral data; genetic algorithm with linea

266 This enabled us to classify the synthetic community into four modules of co

267 ance of 11 most frequently detected OMPs for classifying the contamination status of lakes.

268 performance for novel words (i.e., correctly classifying the word as novel), and preonset and postons

269 formance for repeated words (i.e., correctly classifying the word as repeated).

270 ces of ankG from 37 C. burnetii isolates and classified them in three groups based on the predicted p

271 detect the pattern of a single heartbeat and classifies them into two classes: a heartbeat and not a

272 nt sources of metacognitive inefficiency and classify them into four categories based on whether the

273 plications that can occur during puerperium, classifying them according to the pathophysiological mec

274 tion and/or degradation) of EOCs from water, classifying them by the nature of the contaminant.

275 We have classified these compounds into polymer-based mass-tag r

276 We classify these discordant calls and examine reasons for

277 nd reaction in the brain, which successfully classified three different stimulation conditions with a

278 We implemented MorphEUS to correctly classify three compounds in a blinded study and identifi

279 achieved 100% accuracy in the test set when classifying three different SFV winemakers.

280 Gliomas are currently classified through integration of histology and mutation

281 The most common associates of amoebae were classified to order Chlamydiales and genus Burkholderia-

282 d Fermi surfaces, via symmetry and topology, classifying topological materials within a single-partic

283 This allowed us to classify tree species as forest vs. savanna specialists,

284 improvement and standardization of criteria classifying tumor-induced MDSCs have led to unified desc

285 xis from sleeping male mice, we detected and classified two types of LFP events in the DG: high-ampli

286 irus nephropathy (PVN) remained inadequately classified until 2018 when the Banff Working Group publi

287 ional neural networks (CNNs) to localize and classify uptake patterns of whole-body (18)F-FDG PET/CT

288 e patterns of cell shape can be analyzed and classified using advanced shape descriptors, including s

289 d using the limma R package and samples were classified using an unweighted mean of normalized scores

290 SL images were classified using LOCS III.

291 r barriers or facilitators that could not be classified using pre-defined codes.

292 Deprivation quintiles were classified using the 2011 Scottish Index of Multiple Dep

293 these methods, though the complex problem of classifying variable behavior should be addressed first.

294 work (MotionNet) trained on moving images to classify velocity.

295 patterns in the different size fractions to classify viral clusters, indicating potential diverse in

296 memory, attention, and executive function to classify whether participants had normal cognitive funct

297 The machine learning algorithm classified with 81% overall accuracy and correctly class

298 rment in participants with Down syndrome was classified with the Cambridge Cognitive Examination for

299 loped trisegmented negative-strand RNA virus classified within the Nairoviridae family of the Bunyavi

300 ere assessed using mother-reported tests and classified within the normal or borderline/clinical rang