ライフサイエンスコーパス: classification scheme

1 omography (SD-OCT) imaging and present a new classification scheme.

2 vival with the same precision as did the AGN classification scheme.

3 ing procedure followed by a machine learning classification scheme.

4 ions to the existing diagnostic criteria and classification scheme.

5 ded into three variant families based on one classification scheme.

6 dendritic parameters supported our neuronal classification scheme.

7 ular," did not fit cleanly into the existing classification scheme.

8 he Arabidopsis (Arabidopsis thaliana) genome classification scheme.

9 as an adjunct to the traditional categorical classification scheme.

10 ets compared to erratic compliers under this classification scheme.

11 nce trapped or Class II on the Robin and Day classification scheme.

12 10-year metastasis was used to develop a new classification scheme.

13 f plaque composition from the autoregressive classification scheme.

14 diologist observers and the trained computer classification scheme.

15 e domain pairs, based on a simple functional classification scheme.

16 nal Center for Health Statistics Urban-Rural Classification Scheme.

17 n of Neisseria meningitidis are used in this classification scheme.

18 opic images with a modification of the Noyes classification scheme.

19 llator therapy were classified using the new classification scheme.

20 ial is presented that supports the presented classification scheme.

21 ening and contractile response, and motility classification scheme.

22 ress these ambiguities and develop a unified classification scheme.

23 we designed and validated a miRNA-based risk classification scheme.

24 cording to the Age-Related Eye Disease Study classification scheme.

25 plications were measured with a standardized classification scheme.

26 cit assumptions about the current LIPID MAPS classification scheme.

27 ccording to an expert-panel-derived clinical classification scheme.

28 ture, providing the basis for a hierarchical classification scheme.

29 ge of HIV disease itself does not affect the classification scheme.

30 ent survival compared to published molecular classification schemes.

31 han 2 years of age is based largely on adult classification schemes.

32 encyclopedia and the Yahoo and DMOZ web page classification schemes.

33 es provides valuable information for protein classification schemes.

34 This has resulted also in more rational classification schemes.

35 e considered high-grade according to certain classification schemes.

36 t into group A2 of current plant cyclin gene classification schemes.

37 effective treatment strategies, and refining classification schemes.

38 n arm call threshold before integration into classification schemes.

39 with American Heart Association (AHA) plaque classification schemes.

40 , used separately, have yielded inconsistent classification schemes.

41 group, an outline of the currently accepted classification scheme, a review of associated clinical s

42 performance of a computerized breast cancer classification scheme across the databases.

43 was used to create a novel miRNA-based risk classification scheme (AMLmiR36).

44 We validated the classification scheme and identified dozens of novel mar

45 LP-IC employs an iterative classification scheme and introduces a class dispersion

46 s have led to an update of the original FEVR classification scheme and more complete characterization

47 designed melanoma therapies based on such a classification scheme and the associated improvements in

48 amera and were graded using the Airlie House classification scheme and the Early Treatment Diabetic R

49 demonstrate the performance of the improved classification scheme and the flexibility of PheWAS enca

50 2008 at Dana Point included revisions of the classification scheme and updates on new trials and ther

51 Classification schemes and angiographic grading systems

52 The 2 existing classification schemes and especially a new stroke risk

53 Our frame work focused on not only different classification schemes and feature selection algorithms,

54 dies will translate into array-based disease classification schemes and help optimise therapy for ind

55 interconnectivity with previously identified classification schemes and high robustness of the mesenc

56 haracterize individual sarcomas has improved classification schemes and hopefully will lead to indivi

57 Using two different prognostic classification schemes and measures, nearest centroid (H

58 The development of new classification schemes and prognostic analyses for lymph

59 have now advanced to the point where better classification schemes and prognostic variables are bein

60 tandard morphologic evaluation in future MDS classification schemes and risk models.

61 gene status should be incorporated into risk classification schemes and suggest that patients who hav

62 a wide range of organisms and Gene Ontology classification schemes, and it can easily be customized

63 comprehensive, harmonizing with conventional classification schemes, and lacking superfluous subdivis

64 major differences between it and antecedent classification schemes, and to provide the rationale for

65 It is often not known whether such classification schemes are also supported by mechanistic

66 Most of the existing classification schemes are based on the concepts of homo

67 ent distributional models, real datasets and classification schemes are empirically calculated.

68 tein conformation space, even though various classification schemes are extremely useful.

69 and electrophysiological criteria, but these classification schemes are often not generalizable acros

70 Age-based classification schemes are useful in identifying clinica

71 Classification schemes are useful when they elucidate co

72 Together, these data provide an ontological classification scheme associated with patient survival d

73 optimized the entire multi-stage arrhythmia classification scheme based on 12-lead surface ECGs that

74 in the CAZY database, a glycosyl transferase classification scheme based on catalytic residue and seq

75 ata and colleagues developed a breast cancer classification scheme based on characterization of healt

76 IT activation patterns, we used a multivoxel classification scheme based on linear support vector mac

77 Unique to the SFLD is its hierarchical classification scheme based on linking the specific part

78 oviruses are limited because of an imprecise classification scheme based on partial nucleotide sequen

79 MyTaxa also implements a novel classification scheme based on the genome-aggregate aver

80 Herein we propose an updated classification scheme based on the molecular insights ga

81 For hematopoietic malignancies, a classification scheme based on the phenotypic similarity

82 Various classification schemes based on clinical criteria are be

83 A move toward implementation of relational classification schemes based on inherent properties of w

84 Classification schemes based on the pattern of blood pre

85 For example, among sensory neurons, can a classification scheme be devised that is based on their

86 ly captures the key features of the existing classification schemes but also provides a much richer o

87 A classification scheme, called ProtPair, is presented tha

88 heral nerves, a straightforward, dichotomous classification scheme can be used in which the vasculiti

89 captures and rationalizes the existing three classification schemes: Classes, (A, C and D, which vary

90 and could form the basis for a binding site classification scheme comparable to existing protein dom

91 Although most of the current neuronal classification schemes comprise discrete clusters, sever

92 Cardiology/American Heart Association lesion classification scheme dates from an era when balloon ang

93 llenges, including developing a standardized classification scheme, defining how the integrative prop

94 ing Group published a new 3-tier morphologic classification scheme derived from in-depth statistical

95 hlight key differences between the molecular classification schemes derived from these studies.

96 rization of annotated EST assemblies using a classification scheme developed at The Institute for Gen

97 The algorithm and classification scheme developed can be used to describe

98 that can serve as components of a biological classification scheme directly correlated to the Gram st

99 The classification scheme distinguishes between the mobiliza

100 r classification is the most concise disease classification scheme, dividing the subtypes of PCBCL by

101 However, most classification schemes do not robustly cluster all HER2+

102 nue to be poorly understood, and an adequate classification scheme does not exist.

103 Several protein structure classification schemes exist that partition the protein

104 In conclusion, in the 2008 WHO classification scheme, FAB subclassification does not pr

105 fic SDH cell types are ill defined, numerous classifications schemes find that excitatory and inhibit

106 with an evident etiology and that Frieden's classification scheme for ACC type VII needs to be refor

107 A supervised classification scheme for analyzing microarray expressio

108 ms to construct a first-generation molecular classification scheme for carcinomas of the prostate, br

109 al Centers for Health Statistics Urban-Rural Classification Scheme for Counties.

110 ease, and monitoring HNP-3 levels as a tumor classification scheme for cutaneous T cell lymphomas, an

111 Here, we report a morphologic classification scheme for definitive PVN from the Banff

112 We recommend using this morphologic PVN classification scheme for diagnostic communication, espe

113 Here, we propose a classification scheme for different levels of signaling

114 We define the roles of and propose a classification scheme for different oligomeric species b

115 usands of square kilometres and are a useful classification scheme for ecosystem monitoring and asses

116 In this review, a classification scheme for gastrointestinal fistulas is p

117 A new classification scheme for healthcare-associated pneumoni

118 Here, we describe a classification scheme for human breast cancer making use

119 Interaction Z-Score Assessment), is a binary classification scheme for identification of native prote

120 of pallial and subpallial PVZs, as well as a classification scheme for identifying morphologically di

121 prehensive literature overview, we propose a classification scheme for IDO1 inhibitors according to t

122 Here, we provide a modern and utilitarian classification scheme for Konservat-Lagerstatten, allowi

123 ry data, we developed a biological functions classification scheme for MR genes.

124 symptom and fever as a disease, an elaborate classification scheme for multiple types of fever, hypot

125 titers against microorganisms in Socransky's classification scheme for oral microbes.

126 The ISGPF has proposed a classification scheme for pancreatic fistula based on cl

127 These findings validate the ISGPF classification scheme for pancreatic fistula.

128 capture sequencing approaches and provide a classification scheme for PDL SRs with implications for

129 A novel classification scheme for peripheral nerve sheath tumors

130 This review introduces a classification scheme for psychiatric symptoms, describi

131 s group III in the World Health Organization classification scheme for pulmonary hypertension, may re

132 A recent classification scheme for retinoblastoma vitreous seeds

133 e use the tools of metaphysics to describe a classification scheme for stem cells, and to highlight w

134 mation on postfire regeneration to develop a classification scheme for successional pathways, represe

135 genies of these two groups and suggest a new classification scheme for the beta-lactamases.

136 In this review, we discuss a classification scheme for the cutaneous vasculitides, ou

137 Furthermore, it provides a classification scheme for the different technologies app

138 ed all share the common thread that a stable classification scheme for the group remains unresolved.

139 In 2018, the Banff working group proposed a classification scheme for the prognosis of BKPyVAN, but

140 A classification scheme for these compounds is presented t

141 mal degradation of proteins and to suggest a classification scheme for these disorders.

142 1990, there has been a need to devise a new classification scheme for these enzymes because many RHO

143 id aortic arch surgery centered around a new classification scheme for these procedures.

144 Accordingly, we devised a classification scheme for TraN homologues on the basis o

145 histopathologic correlation of the clinical classification scheme for vitreous seeds in retinoblasto

146 Current classification schemes for acute myocardial infarction (

147 antibody-drug conjugates that are redefining classification schemes for breast cancer.

148 Classification schemes for hypertension are helpful in d

149 Distinctive diagnostic classification schemes for insomnia diagnoses are availa

150 Classification schemes for model building were computed

151 ient-ventilator heterogeneity, and a lack of classification schemes for observable behavior.

152 This has resulted in several different classification schemes for parasites and changes in para

153 Classification schemes for the metabolome are a promisin

154 d how genome-wide analyses are reshaping the classification schemes for tumors and enhancing prognost

155 racts (organic and aqueous phases) to create classification schemes for two species of shrimp from fo

156 dic table of niches and feasibility of niche classification schemes from functional trait and perform

157 e built a novel function-based microorganism classification scheme, functional-repertoire similarity-

158 However, this classification scheme has a number of limitations.

159 The descriptive classification scheme has aided phenotypic characterizat

160 It is, however, commonly accepted that this classification scheme has limited clinical utility based

161 ) infection, yet a commonly accepted genetic classification scheme has not been established.

162 anced understanding of simultaneous impacts, classification schemes have been developed.

163 A variety of clinical classification schemes have been proposed as a means to

164 Classification schemes have been proposed based on anato

165 the molecular and environmental causes, the classification schemes have changed to reflect different

166 Biologically and clinically meaningful tumor classification schemes have long been sought.

167 Neither GOLD COPD classification schemes have sufficient discriminatory po

168 Classification schemes have to match functional root typ

169 The authors sought to validate the ISGPF classification scheme in a large cohort of patients foll

170 When training and testing the classification scheme in patients, PIT activation patter

171 ce, we select features that best benefit the classification scheme in the kernel space.

172 in C. elegans may be paradigmatic for neuron classification schemes in vertebrate nervous systems.

173 rphologic characteristics based on a defined classification scheme, including the presence of interna

174 dditional variable being incorporated in the classification scheme increases complexity and costs in

175 By deriving classification scheme-independent measures of functional

176 While keeping the original classification scheme intact, we have changed the produc

177 I present equations that convert the species classification scheme into a maternal risk-management mo

178 reas researchers need to incorporate the new classification scheme into study development and analysi

179 ing generation algorithm, which maps various classification schemes into GO, and (3) a consensus algo

180 The proposed classification scheme is applied to several real cancer

181 lesions and suggests that the simplified WHO classification scheme is appropriate for evaluation of t

182 nd multipatching methods; and (iii) our cell classification scheme is arbitrary and we have simply re

183 The new classification scheme is based on the hypothesis that, u

184 This novel stability-guided classification scheme is delivered in two flavours: duri

185 assification to data reported using an older classification scheme is demonstrated.

186 A simple classification scheme is designed to analyze the strengt

187 athways for a system of any complexity and a classification scheme is introduced for the characteriza

188 This classification scheme is more practical than actual esti

189 Specifically, a more precise classification scheme is needed to better describe the f

190 However, his classification scheme is not built on sufficient evidenc

191 The species classification scheme is predicated on the assumption th

192 Here a general classification scheme is presented of the relationship b

193 This classification scheme is probably an imprecise predictor

194 On the basis of this analysis, a genetic classification scheme is proposed that differentiates 99

195 One of the many benefits of a successful classification scheme is that it allows workers, within

196 Our network-based enzyme classification scheme is thus a promising tool for the i

197 This classification scheme is well supported by the analysis

198 Harmonization of classification schemes is needed to use MOA classificati

199 egmentation methods often rely on predefined classification schemes, leading to inconsistencies and b

200 ant issues of debate over the years, such as classification schemes, management techniques, imaging a

201 eity that potentially underlies the existing classification scheme might limit discovery of etiology

202 A classification scheme of deaths that occur in antiarrhyt

203 Gene profiling provides a genomic-based classification scheme of diagnostic and prognostic utili

204 ILD syndrome"; (4) describe a new pathologic classification scheme of DLD in infants; (5) outline sup

205 Recognizing the classification scheme of HF with a reduced ejection frac

206 In the most recent classification scheme of non-Hodgkin's lymphomas, these

207 A new classification scheme of patterns based on ocular motor

208 Here, we provide a classification scheme of topological phonons based on lo

209 SS from G+ and G- bacteria, we propose a new classification scheme of VirB8-like proteins.

210 This update discusses the classification schemes of atrial flutter and macroreentr

211 We also applied ADEMA's classification scheme on three different cohorts of CF a

212 he potential impact of prominent stroke risk classification schemes on this decision in a large sampl

213 s linear morphea, are present across all the classification schemes, others list unique subtypes.

214 Autoregressive classification schemes performed better than classic Fou

215 Autoregressive classification schemes performed better than those from

216 Such a classification scheme points out a simple way to constru

217 c statistic greater than 0.5, the 2 existing classification schemes predicted stroke better than chan

218 mmarized and discussed, including the device classification scheme, premarket approval, premarket not

219 of ferret ganglion cells and report that the classification scheme previously developed for cat gangl

220 e classified into four groups using existing classification schemes: primary-like (PL), onset (O), su

221 larities and functional motifs into a single classification scheme, ProClass helps to reveal domain a

222 h is reflected by the variety of interneuron classification schemes proposed in recent years.

223 We propose that this classification scheme provides a basis for understanding

224 Conclusions: The new STAR severity classification scheme provides discrimination for mortal

225 This target gene classification scheme provides novel insight into severa

226 n, are important elements in HIV staging and classification schemes, raise pertinent questions about

227 Of particular note, the present classification scheme recognizes the rapid evolution of

228 hical representation) are used as a basis of classification schemes related to different aspects of s

229 th factor dependence, and suggest a two-tier classification scheme relating p110alpha and p85alpha mu

230 ecent advances in characterizing cell types, classification schemes remain ambiguous.

231 although the robustness of these models and classification schemes remains to be seen.

232 This classification scheme results in over 15 000 actives and

233 Recognizing the need for a systematic classification scheme, several groups have used single-c

234 the evidence supporting the evolution of the classification scheme since its inception.

235 ator performed better than measurement-based classification schemes such as Lung-RADS.

236 Clusters did not reflect traditional diet classification schemes such as the grazer-browser contin

237 We propose a descriptive classification scheme that 1) fully describes and tabula

238 aspects of arrhythmia investigations, a new classification scheme that addresses these issues is des

239 Here, I introduce a species classification scheme that extends the reach of r-K sele

240 ecent WHO classification provides an updated classification scheme that integrates the biological beh

241 als can increase their fitness, we present a classification scheme that integrates these: phenotypic

242 Here, we describe a genomic-based classification scheme that is derived from the combined

243 issue sarcoma would identify a genomic-based classification scheme that is useful in diagnosis.

244 This study defines a novel classification scheme that may have value for patient st

245 molecular signal processing algorithms and a classification scheme that organizes known regulatory st

246 s a byproduct, we develop an order-parameter classification scheme that predicts supertransitions bet

247 e community-based study sample, we propose a classification scheme that provides a standardized and v

248 malignant gliomas were analyzed and a novel classification scheme that segregated short-term and lon

249 erpretations and opens the door to a new GRB classification scheme that straddles both long- and shor

250 This research explores a novel classification scheme that uses fuzzy logic theory to co

251 A simple classification scheme that uses only the presence or abs

252 d recommended development of a new practical classification scheme that would (a) allow easier compar

253 ors similar to known genes, or on functional classification schemes that amalgamate many types of pro

254 ility and allow us to generate probabilistic classification schemes that naturally reflect the uncert

255 the American Heart Association's recommended classification scheme, the lesions were classified into

256 ide ions' FAIMS mobility using a multi-label classification scheme to account for non-normal transmis

257 contains 6634 known DDIs, and features a new classification scheme to assign confidence levels to pre

258 sions, we sought to develop a more effective classification scheme to better identify both patients a

259 discussed at these meetings and developed a classification scheme to code the data.

260 rt to develop, test and apply a standardized classification scheme to constitutional variants in the

261 ding to the International Labor Organization classification scheme to determine if criteria for rapid

262 ity was classified according to the Schwenck classification scheme to examine injurious falls requiri

263 Lastly, we began relating our motion classification scheme to function using descriptions fro

264 Here we establish a morphology based classification scheme to identify two naturally arising

265 viously developed antibiotic appropriateness classification scheme to International Classification of

266 ios of adjacent genes was used in a Bayesian classification scheme to predict whether the genes are i

267 ting cases, and also upgraded the functional classification scheme to reflect continuous advance in t

268 The system then used a classification scheme to score the lesions by the likeli

269 Based on these analyses, we propose a classification scheme to segregate B cells from four lym

270 e consider the potential application of this classification scheme to the marine environment, and off

271 The classification scheme used in this study may be a useful

272 ile ranged from 28% to 32%, depending on the classification scheme used.

273 the structure similarity score and original classification scheme used.

274 > or =500/microL]) was reduced to a 5-stage classification scheme using a backward stepwise regressi

275 Current classification scheme utilizes molecular alterations, pa

276 Imaging Reporting and Data System (TI-RADS) classification scheme was applied to the stable left lob

277 The classification scheme was based on identifying gene subs

278 This phylogenetic classification scheme was converted to a new systematic

279 ty of Coronary Angiography and Interventions classification scheme was developed to address the wide

280 A new 5-stage cardiogenic shock (CS) classification scheme was recently proposed by the Socie

281 analysis revealed the overall VE/VCO2 slope classification scheme was significant (area under the cu

282 ailed to distinguish the other subtypes, the classification scheme was supported by an analysis of cl

283 The classification scheme was trained with 646 pathologicall

284 The classification scheme was used in a clinical trial of a

285 For the test series, a classification scheme was used to distinguish highly act

286 enal survival rates by categories of the AGN classification scheme were 91% for focal, 69% for mixed,

287 Two existing classification schemes were combined into a new stroke-r

288 When the various classification schemes were compared, a modified number-

289 Finally, the classification schemes were discussed in the light of an

290 Five classification schemes were tested to identify the most

291 -risk scheme, the CHADS( 2) index, and all 3 classification schemes were validated.

292 A classification scheme which used all eight fluorescent c

293 e HR subtypes were distinct from the current classification scheme, which is based on estrogen recept

294 This is in keeping with current classification schemes, which recognize subtypes of low

295 We believe that this classification scheme will provide the reader with a rap

296 r the first time, we correlate this clinical classification scheme with its histopathologic features.

297 We aimed to develop a prognostic classification scheme with treatment guidance for Asian

298 ed established prognostic factors to develop classification schemes with better discrimination than c

299 We combine these data and classification schemes with mass spectra acquired direct

300 umoniae (pseudopneumococcus) has complicated classification schemes within members of the "mitis" str