ライフサイエンスコーパス: recursive

1 the pattern separation/completion operations recursive.

2 isotopic distribution called BRAIN (Baffling Recursive Algorithm for Isotopic distributioN calculatio

3 A recursive algorithm generates series, asymptotic, and av

4 The recursive algorithm rapidly identifies all possible ring

5 The recursive algorithm reduces the number of quantum bits r

6 Here, we introduce a recursive algorithm suitable for overcoming both of thes

7 mulation-based IBD (SimIBD) statistic uses a recursive algorithm to determine the probability of two

8 zation version of the problem; and present a recursive algorithm to find a BTP with errors in the inp

9 ld be mapped onto a polygonal spiral using a recursive algorithm.

10 Recursive algorithms and some simplifying assumptions th

11 ically analysing an anatomical database with recursive algorithms.

12 When the system is fully recursive, all conditional posterior distributions are i

13 12) receptors on adjacent PLTs; and (iv) the recursive amplification of PMP and PK release from these

14 (RR) and Rocchio] with feature selection in recursive and non-recursive settings on three DNA microa

15 In this paper we show that a recursive augmented sparse reconstruction generates arti

16 We derived a recursive Bayesian binary filter algorithm to compute th

17 In this article we describe a recursive Bayesian estimator for the identification of d

18 First, a recursive Bayesian method is presented for probabilistic

19 ems are attenuated and the animal ceases the recursive behavior.

20 Recursive binary partitioning in a conditional inference

21 lion cells and other ON-OFF cells, including recursive bistratified ganglion cells and A1 amacrine ce

22 Corticostriatal loops may mediate recursive, bootstrapping interactions between fast rewar

23 DGE tags with mismatches are analyzed by recursive calls in the data structure.

24 tical paradigm is used to derive a nonlinear recursive causal filter algorithm for predicting the pos

25 hus, the capacity to classify sequences from recursive, centre-embedded grammars is not uniquely huma

26 Using a recursive classification method, we found that patients

27 nal importance are given added weight during recursive clustering.

28 t lack CaM recognition activity, followed by recursive combinatorial peptide library production and c

29 Hierarchical organization-the recursive composition of sub-modules-is ubiquitous in bi

30 Analysis of a subset of the data, for which recursive computation of the exact likelihood was feasib

31 es in folded protein structures based on the recursive convex hull (RCH) of a point set of atomic coo

32 place and Hankel transforms and results in a recursive convolution of an exponentially scaled Gaussia

33 We applied recursive cumulative metaanalysis of randomized controll

34 gene with improved codon usage and performed recursive cycles of DNA shuffling followed by screening

35 n of cumulative rewards and a sensitivity to recursive decision structure.

36 A recursive decision tree was developed in which the imagi

37 Multifunctional imaging with PET/CT and recursive decision-tree analysis to combine measurements

38 A recursive, depth-first search algorithm finds all possib

39 block ratios were genetically synthesized by recursive directional ligation.

40 Some of the transitions can be recursive (e.g., plastids, multicellularity) or limited

41 An acyclic model was assumed, where recursive effects existed from the GL phenotype to the l

42 systems of electrons exhibit a self-similar recursive energy spectrum.

43 As a result, an elegant recursive equation is obtained for computing the occurre

44 A variety of filtering methods enable the recursive estimation of system state variables and infer

45 genome-wide mapping of TFEB target sites and recursive expression meta-analysis of TFEB targets, to i

46 t only provided an alternative derivation of recursive expressions for the stoichiometry of random li

47 a feature selection method named Supervised Recursive Feature Addition (SRFA).

48 lly, we have proposed a Support Vector based Recursive Feature Addition (SVRFA) scheme in SNP-disease

49 Support Vector Machine-Recursive Feature Elimination (SVM-RFE) is one of a grou

50 ion methods including support vector machine recursive feature elimination (SVM-RFE), Chi Squared, an

51 e selection method of Support Vector Machine Recursive Feature Elimination and logic regression-based

52 en by using a machine-learning approach with recursive feature elimination and the random forest algo

53 s is compared with those selected by the SVM-recursive feature elimination method.

54 We used recursive feature elimination to extract an optimal set

55 e information structure of the network using recursive feature elimination.

56 AUROC of 0.9574 obtained by an SVM based on recursive feature elimination.

57 this property plays an important role in the recursive feature selection process.

58 functionality of HMAX by including top-down recursive feedback.

59 The observed recursive footprints, where the same amino acid can simu

60 Although the GF has a simple, recursive form, the size of such likelihood calculations

61 We derive a recursive formula for efficient calculation of the inher

62 We provide a recursive formula to compute P-values for the weighted t

63 ke full advantage of citrate, we developed a recursive genomewide recombination and sequencing method

64 We show that recursive genomic recombination within a population of b

65 the liver are consistent with an iterative, recursive growth model with simple stereotypical divisio

66 The recursive, hierarchical embedding of language units (for

67 n for the welfare of their children; this is recursive in the sense that the children's welfares incl

68 Using a recursive incentive mechanism that both spread informati

69 t using different degrees of sophistication (recursive inferences) and applied an ecologically valid

70 HSCs and is reinforced over cell division by recursive interactions between transcriptional programs

71 romodulation of UNC-7 ensures attenuation of recursive intromission attempts when the male disengages

72 hormone concentration time series; and then, recursive iteration between the following two: (a) for a

73 We developed a recursive-learning algorithm to predict PIP3 regulation

74 A recursive least-squares algorithm is subsequently used t

75 e synthesized remarkably large genes without recursive ligation.

76 In this TARL model (for topics, aging, and recursive linking), the number of topics is linearly rel

77 In this paper we present a new recursive loop breaker-elimination algorithm that solves

78 s, interacting with each other in a complex, recursive manner.

79 Self similarity, power laws, and recursive mapping algorithms are associated with fractal

80 ees, self-organizing feature maps (SOFM) and recursive maximum contrast trees (RMCT).

81 hway with a finite number of states, using a recursive method to solve algebraically for the appropri

82 Signal intensity buildup was fit to a recursive model that regionally solves for fractional ve

83 chia coli combinatorial libraries created by recursive multiplex recombineering at a depth 10(4)-fold

84 t loop length diversity, loop shuffling, and recursive mutagenesis of diverse populations are all cri

85 In general, the spatially distributed and recursive nature of autocrine signaling systems makes th

86 The recursive nature of path integration results in accumula

87 ple network nodes and subsequently used in a recursive neighborhood construction method.

88 First, we use 2D recursive neural networks to predict coarse contacts and

89 The first step uses recursive neural networks to predict pairing probabiliti

90 classes of predictors using two-dimensional recursive neural networks: an ab initio predictor that r

91 ncreased behavioural predictability in other recursive, non-cooperative environments such as economic

92 We extend the model-based recursive partition method to produce predictions based

93 We used recursive partitioning (classification trees) to derive

94 th by proportional hazards regression and by recursive partitioning (i.e., tree-based) survival analy

95 A new method, called line-walking recursive partitioning (LWRP), for partitioning diverse

96 ical decision trees were developed using the recursive partitioning algorithm CHAID (chi2 Automatic I

97 Recursive partitioning algorithms separated out 2 cluste

98 We used recursive partitioning analyses to identify factors (inc

99 fication on possible confounding factors and recursive partitioning analyses were also conducted.

100 In recursive partitioning analyses, age, RA global severity

101 In recursive partitioning analyses, RA disease factors pred

102 We used recursive partitioning analysis (RPA) and adjusted hazar

103 For HPV-related OPC, recursive partitioning analysis (RPA) derived new RPA st

104 Recursive partitioning analysis (RPA) identified TTI thr

105 To refine the existing clinically based recursive partitioning analysis (RPA) model by incorpora

106 staged according to a model constructed by a recursive partitioning analysis (RPA) of glioma patients

107 Recursive partitioning analysis (RPA) stratified the DM

108 Recursive partitioning analysis (RPA) was used to create

109 Recursive partitioning analysis (RPA) was used to derive

110 Cox proportional hazards (PH) regression and recursive partitioning analysis (RPA) were performed to

111 Multivariable logistic regression and recursive partitioning analysis (RPA) were performed to

112 Recursive partitioning analysis (RPA), a method of build

113 Survival of these 16 patients, by recursive partitioning analysis (RPA), was 11.2, 13.3, a

114 By using recursive partitioning analysis (RPA), we developed new

115 uding the Radiation Therapy Oncology Group's recursive partitioning analysis (RTOG-RPA) class.

116 ancer Institute of Canada trial 26981/22981 (recursive partitioning analysis [RPA] class III, 19 v 21

117 on with the Radiation Therapy Oncology Group Recursive Partitioning Analysis Brain Metastases Databas

118 ses from lung (52%) and breast (24%) cancer, recursive partitioning analysis class 2 (96%), and an av

119 prognostic Radiation Therapy Oncology Group recursive partitioning analysis class and geographic reg

120 nalysis showed that poor prognosis patients (recursive partitioning analysis class V/VI) may derive a

121 isation for Research and Treatment of Cancer recursive partitioning analysis class, MGMT promoter met

122 Patients were stratified by recursive partitioning analysis class, number of brain m

123 on and T stage, N stage, stage grouping, and recursive partitioning analysis classes (r = -0.07 to 0.

124 stage, N stage, combined stage grouping, and recursive partitioning analysis classes.

125 ection, and Radiation Therapy Oncology Group recursive partitioning analysis classification did not d

126 Recursive partitioning analysis confirmed portal hyperte

127 A novel nodal staging system derived by recursive partitioning analysis exhibited greater concor

128 Recursive partitioning analysis indicates that involved

129 breast-GPA, multivariable Cox regression and recursive partitioning analysis led to the development o

130 ndent risk factors for LD were included in a recursive partitioning analysis model.

131 Recursive partitioning analysis more accurately identifi

132 Recursive partitioning analysis of initial PSA level, pa

133 Recursive partitioning analysis reinforced the prognosti

134 Recursive partitioning analysis showed elevated rates of

135 We apply recursive partitioning analysis to examine the relations

136 Recursive partitioning analysis was used to determine cu

137 Recursive partitioning analysis yielded 4 TNM groups: st

138 calcified plaque area was evaluated by using recursive partitioning analysis.

139 Cox proportional hazard models and Recursive Partitioning and Amalgamation (RECPAM) tree-re

140 Recursive partitioning and causal modeling procedures we

141 Recursive partitioning and clinical characteristics iden

142 Multivariable analyses were performed using recursive partitioning and Cox proportional hazards regr

143 Statistical methods included recursive partitioning and Kaplan-Meier analyses.

144 scriminant analysis, support vector machine, recursive partitioning and regression tree, generalized

145 scriminant Analysis (LDA), Naive Bayes (NB), Recursive Partitioning and Regression Trees (RPART), and

146 polymorphisms, and apply statistical methods-recursive partitioning and regression-to pinpoint diseas

147 th such methods is deciding when to halt the recursive partitioning and what criteria to use in decid

148 Recursive partitioning further demonstrated that combina

149 (95% CI, 0.948-0.975) respectively, whereas recursive partitioning had relatively the poorest perfor

150 Recursive partitioning identified a group of patients wi

151 Recursive partitioning identified three genes as signifi

152 Recursive partitioning identified ultralow risk as the m

153 Our findings also demonstrate the value of recursive partitioning in deriving valid claims-based al

154 Survival analysis with recursive partitioning in node-negative ERalpha-positive

155 Recursive partitioning is a non-parametric modeling tech

156 Recursive partitioning is especially useful because it c

157 Model-based recursive partitioning is used to identify groups of obs

158 Recursive partitioning may aid in developing novel inter

159 These findings suggest that recursive partitioning may be a useful statistical tool

160 assification analyses using a non-parametric recursive partitioning method (random forests) were empl

161 he party package in R implements model-based recursive partitioning method.

162 Recursive partitioning methods (using the Classification

163 The recursive partitioning model provided a quantitative pre

164 Disability risk groups were identified using recursive partitioning modeling.

165 s to generate Kohonen maps, Sammon maps, and recursive partitioning models.

166 sion were identified by using univariate and recursive partitioning multivariate analysis.

167 Recursive partitioning offers a practical, user-friendly

168 Recursive partitioning on the training set (n = 1551) id

169 ed machine learning algorithms the result of Recursive Partitioning proved to be the most accurate.

170 period from initial screening in 1996-1998, recursive partitioning selected six of 22 candidate pred

171 Recursive partitioning showed that a cutoff point of 639

172 A recursive partitioning technique (CART) identified diffe

173 These findings illustrate the utility of recursive partitioning techniques in identifying biomark

174 ing homogeneous subpopulations, then applies recursive partitioning techniques to generate a decision

175 Recursive partitioning techniques were used to identify

176 data were analyzed using Cox regression and recursive partitioning techniques.

177 We used recursive partitioning to assess the probability that an

178 Objective: To apply recursive partitioning to derive and validate a claims-b

179 We then employed recursive partitioning to derive two DIs: Chest CT-All m

180 OS), Kaplan-Meier curves to estimate OS, and recursive partitioning to determine optimal cutoff point

181 were performed using stepwise regression and recursive partitioning to explore in each sample the rel

182 negative predictive value of 100% by binary recursive partitioning to predict those patients who are

183 We exploit and expand the methodology of recursive partitioning trees for tumor and cell classifi

184 A risk stratification algorithm derived from recursive partitioning was constructed and was validated

185 agreement were calculated, and multivariate recursive partitioning was performed to evaluate various

186 Recursive partitioning was used to create a risk index b

187 Recursive partitioning was used to derive an initial rul

188 (AMoC) as the strongest predictive factors, recursive partitioning was used to determine cutpoints f

189 o define independent prognostic factors, and recursive partitioning was used to develop a prognostic

190 Recursive partitioning was used to develop a SEER-based

191 Recursive partitioning was used to generate a decision t

192 ultivariate-adjusted logistic regression and recursive partitioning were used to determine the associ

193 Spearman rank correlation coefficients and recursive partitioning were used to examine correlations

194 ed by using multiple logistic regression and recursive partitioning with bootstrap validation.

195 Recursive partitioning with bootstrapping was used to di

196 or machine, naive Bayes' classification, and recursive partitioning).

197 indices were as follows: Kaplan-Meier, 0.69; recursive partitioning, 0.74; and Cox regression, 0.77.

198 plan-Meier analysis of all possible subsets, recursive partitioning, and Cox proportional hazards reg

199 ferent statistical methods-cluster analysis, recursive partitioning, and linear discriminant analysis

200 learning algorithms: Support Vector Machine, Recursive Partitioning, Random Forest, Naive Bayes, Logi

201 Using recursive partitioning, these experimental results were

202 Using recursive partitioning, we derived a set of criteria to

203 Using cuts empirically chosen by recursive partitioning, we found higher concentrations o

204 ents from support vector machines (SVMs) and recursive partitioning, while circumventing the need for

205 ests, and treatments were assessed by use of recursive partitioning, with 10-fold cross-validation, a

206 random forest type approach for model-based recursive partitioning.

207 ed with multivariate logistic regression and recursive partitioning.

208 re determined using the Cox model and binary recursive partitioning.

209 using proportional hazards regression and by recursive partitioning.

210 nosticators (eg, CD38, ZAP-70) was ranked by recursive partitioning.

211 d random forests methodology for model-based recursive partitioning.

212 We propose a novel model-based recursive-partitioning algorithm to navigate clusters in

213 Recursive-partitioning analyses demonstrated the relevan

214 Using recursive-partitioning analysis, we classified our patie

215 The recursive-partitioning technique examined multiple marke

216 In addition, novel analyses with a recursive-partitioning technique were employed.

217 circuit comparable in important ways to the "recursive" pathway of oscine songbirds.

218 Among the similarities are the existence of recursive pathways interconnecting vocal control neurons

219 re human ornithine transcarbamylase (OTC) by recursive PCR using 18 oligodeoxyribonucleotides, each 7

220 We found the recursive peak integration to be a key point for the rel

221 er set of amino acids, may have expanded via recursive periods of genetic code ambiguity that were fo

222 out on a quantum computer simulator using a recursive phase-estimation algorithm.

223 ticompartmentalized proteinosomes based on a recursive Pickering emulsion procedure using amphiphilic

224 uboptimal codon usage and was constructed by recursive polymerase chain reaction from synthetic oligo

225 gene encoding human PBGS was constructed by recursive polymerase chain reaction from synthetic oligo

226 ance, and then shuffled these populations by recursive pool-wise protoplast fusion.

227 We find the interactions to be highly recursive positive feed-forward and negative feedback lo

228 VMs) have been found to be successful with a recursive procedure in selecting important genes for can

229 the specific classifier and how much on the recursive procedure.

230 at the state can be optimally estimated by a recursive process in which an internal estimate is maint

231 ding a baseline and initial trajectory for a recursive process, apparently small but early alteration

232 ons; time-stepper-based approaches, like the Recursive Projection Method provide an attractive framew

233 Recursive pruning is used to reduce the size of both the

234 he efficiencies of several other techniques: recursive random mutagenesis (asexual), combinatorial ca

235 Recursive random mutagenesis produced essentially asexua

236 A digital recursive reactor system was developed to investigate th

237 The parent recursive reagent, 2,3-dimethylene-4-trimethylsilylbutan

238 ons in the cognitive abilities necessary for recursive reasoning about the behaviors of others.

239 To further understand these relationships, a recursive regression procedure was conducted within all

240 of the GCM dataset, the results achieved by recursive RR are also very encouraging.

241 This may be the reason why recursive RR has a better performance in selecting genes

242 The Gibbs Recursive Sampler is distributed in accordance with the

243 iation of the Gibbs Motif Sampler, the Gibbs Recursive Sampler, which has been developed specifically

244 rithms, including its predecessor, the Gibbs Recursive Sampler.

245 s computed with the partition functions in a recursive sampling process, the backward step of the alg

246 in the different libraries, as determined by recursive screening under stress.

247 A recursive search of all citations to the article was per

248 ds, multiple file masks, ls-lR file parsing, recursive search, recent updates, etc.).

249 We present a novel recursive segment-wise peak alignment (RSPA) method to r

250 d alignment algorithms specific to NMR data, recursive segment-wise peak alignment and interval corre

251 Such domains are frequently identified using recursive segmentation algorithms based on the Jensen-Sh

252 The recursive segmentation also provides a quantitative crit

253 Results by recursive segmentation confirm that yeast chromosome IV

254 DEX also includes a Poisson likelihood-based recursive segmentation procedure that explicitly models

255 Some features of our recursive segmentation, such as the possibility of delin

256 st contigs in human chromosome 21 and 22) by recursive segmentations at different strength criteria.

257 We describe the first example of the recursive selection of biologically relevant macromolecu

258 failure takes on extra significance through recursive self-prediction, potentially motivating severa

259 ely recognize acoustic patterns defined by a recursive, self-embedding, context-free grammar.

260 doxin peroxidases have been identified using recursive sequence searches/alignments with yeast or pro

261 with feature selection in recursive and non-recursive settings on three DNA microarray datasets (ALL

262 Recursive shuffling of whole genomes has recently been d

263 Recursive single-linkage clustering of the corrected mat

264 re given for treating a plethora of feedback-recursive situations.

265 r introns contain a cryptic site, known as a recursive splice site (RS-site), that enables a multi-st

266 of enrichment and conservation indicate that recursive splice sites are advantageous in the context o

267 Recursive splice sites predicted with highly stringent c

268 hanism that subdivides many large introns by recursive splicing at nonexonic elements and alternative

269 Recursive splicing constructs, which uncouple U1 recruit

270 We also show that recursive splicing is a constitutive process, that deple

271 Recursive splicing is a process in which large introns a

272 Together, these results indicate that recursive splicing is commonly used in Drosophila, occur

273 RP3 within Ultrabithorax also confirmed that recursive splicing is the predominant processing pathway

274 The extent to which recursive splicing occurs in other species and its mecha

275 We find that vertebrate recursive splicing requires initial definition of an 'RS

276 hat these introns are removed by a series of recursive splicing steps using the predicted nonexonic s

277 The sequential nature of recursive splicing was confirmed by identification of la

278 Recursive splicing was first identified in the Drosophil

279 ive process, that depletion of U2AF inhibits recursive splicing, and that the sequence and function o

280 cuss currently known and potential roles for recursive splicing.

281 e since been experimentally shown to undergo recursive splicing.

282 multi-step process of intron removal termed recursive splicing.

283 ot match human linguistic skills in terms of recursive structure and combinatorial power.

284 uantum numbers, and report evidence of their recursive structure.

285 The mechanism of invasion is recursive subspheroid component development at the tumor

286 For all sets, we have compared the CRF and recursive support vector machines (RSVM) approaches to f

287 partial least squares discriminant analysis, recursive-support vector machine, and random forests rev

288 The supervised machine learning model, recursive-support vector machine, could classify abiotic

289 hed result (zero error rate using 8 genes by recursive SVM).

290 ctural parameters defining a simultaneous or recursive system have a bearing on the interpretation of

291 The major pathways are recursive: the dorsolateral pallium (DL) projects strong

292 nes of inquiry suggest an important role for recursive thinking (RT) and theory of mind (ToM), but th

293 stock and as a model for naturally occurring recursive transgenesis.

294 ng dynamics and cell survival in the face of recursive, transient ER stress.

295 Structural equation models (SEMs) of a recursive type with heterogeneous structural coefficient

296 r corresponding uncertainties, which require recursive updating in a dynamic environment.

297 Recursive utility models that feature investor concerns

298 onsumption growth and preferences induced by recursive utility.

299 of two models of learning with recency bias: recursive weights and limited memory.

300 Telomere-centric CNR following recursive WGD in plants is also important in mammals and