1 the pattern separation/completion operations
recursive.
2 ROBOT (a
recursive acronym for "ROBOT is an OBO Tool") is an open
3 isotopic distribution called BRAIN (Baffling
Recursive Algorithm for Isotopic distributioN calculatio
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 e achieve a target material state by using a
recursive algorithm to control the material reaction bas
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 When the system is fully
recursive,
all conditional posterior distributions are i
11 12) receptors on adjacent PLTs; and (iv) the
recursive amplification of PMP and PK release from these
12 (RR) and Rocchio] with feature selection in
recursive and non-recursive settings on three DNA microa
13 isoquinolines via a tactic that utilizes the
recursive anion from nitromethane as a 1C-connector to s
14 ogonal strapping (tethering) mediated by the
recursive anion(s) derived from pyrazolones.
15 We used a
recursive application of the minimum P value approach wi
16 We have developed Loop assembly based on a
recursive approach to DNA fabrication.
17 In this paper we show that a
recursive augmented sparse reconstruction generates arti
18 We derived a
recursive Bayesian binary filter algorithm to compute th
19 machine learning approach, and an efficient
recursive Bayesian estimation algorithm for Gaussian sta
20 In this article we describe a
recursive Bayesian estimator for the identification of d
21 First, a
recursive Bayesian method is presented for probabilistic
22 ems are attenuated and the animal ceases the
recursive behavior.
23 In this paper we design a
recursive bifurcation model for analyzing COVID-19 virus
24 Recursive binary partitioning in a conditional inference
25 lion cells and other ON-OFF cells, including
recursive bistratified ganglion cells and A1 amacrine ce
26 Corticostriatal loops may mediate
recursive,
bootstrapping interactions between fast rewar
27 nent analysis, hierarchical clustering and a
recursive bottom-up tree parsing procedure.
28 DGE tags with mismatches are analyzed by
recursive calls in the data structure.
29 ing, or dismantling, strategies based on the
recursive censor of users characterized by social promin
30 hus, the capacity to classify sequences from
recursive,
centre-embedded grammars is not uniquely huma
31 nal importance are given added weight during
recursive clustering.
32 Hierarchical organization-the
recursive composition of sub-modules-is ubiquitous in bi
33 Analysis of a subset of the data, for which
recursive computation of the exact likelihood was feasib
34 her-molecular-weight species compared to non-
recursive controls.
35 es in folded protein structures based on the
recursive convex hull (RCH) of a point set of atomic coo
36 place and Hankel transforms and results in a
recursive convolution of an exponentially scaled Gaussia
37 The
recursive-
cut exact kinship algorithm has running time O
38 n fresh starting solution at the end of each
recursive cycle, and the development of complex high mol
39 e hypothesis that disrupting equilibrium via
recursive cycling imposes a selection pressure and subse
40 n of cumulative rewards and a sensitivity to
recursive decision structure.
41 A
recursive decision tree was developed in which the imagi
42 Multifunctional imaging with PET/CT and
recursive decision-tree analysis to combine measurements
43 block ratios were genetically synthesized by
recursive directional ligation.
44 Here, we introduce EZ-Climate, a simple
recursive dynamic asset pricing model that allows for a
45 Some of the transitions can be
recursive (
e.g., plastids, multicellularity) or limited
46 An acyclic model was assumed, where
recursive effects existed from the GL phenotype to the l
47 systems of electrons exhibit a self-similar
recursive energy spectrum.
48 As a result, an elegant
recursive equation is obtained for computing the occurre
49 A variety of filtering methods enable the
recursive estimation of system state variables and infer
50 genome-wide mapping of TFEB target sites and
recursive expression meta-analysis of TFEB targets, to i
51 a feature selection method named Supervised
Recursive Feature Addition (SRFA).
52 lly, we have proposed a Support Vector based
Recursive Feature Addition (SVRFA) scheme in SNP-disease
53 Support Vector Machine-
Recursive Feature Elimination (SVM-RFE) is one of a grou
54 ion methods including support vector machine
recursive feature elimination (SVM-RFE), Chi Squared, an
55 e selection method of Support Vector Machine
Recursive Feature Elimination and logic regression-based
56 thods, including Support Vector Machine with
Recursive Feature Elimination and other standard or publ
57 en by using a machine-learning approach with
recursive feature elimination and the random forest algo
58 s is compared with those selected by the SVM-
recursive feature elimination method.
59 d clinical variables were processed with the
recursive feature elimination random forest classifier.
60 three physicochemical-based features through
recursive feature elimination strategy.
61 pair out cross validation (LPOCV) scheme and
recursive feature elimination technique applied for feat
62 features alone, and use cross-validation and
recursive feature elimination to evaluate the predictive
63 We used
recursive feature elimination to extract an optimal set
64 Recursive feature elimination using random forest (RFE-R
65 Twenty-six predictors were identified via
recursive feature elimination with random forest.
66 e information structure of the network using
recursive feature elimination.
67 orest or support vector machine coupled with
recursive feature elimination.
68 AUROC of 0.9574 obtained by an SVM based on
recursive feature elimination.
69 this property plays an important role in the
recursive feature selection process.
70 hod (random forest with information gain and
recursive features elimination (RFE) technique with supp
71 the Industrial Revolution, by modelling the
recursive feedback between psychology and environment.
72 functionality of HMAX by including top-down
recursive feedback.
73 The observed
recursive footprints, where the same amino acid can simu
74 Although the GF has a simple,
recursive form, the size of such likelihood calculations
75 We derive a
recursive formula for efficient calculation of the inher
76 We provide a
recursive formula to compute P-values for the weighted t
77 ke full advantage of citrate, we developed a
recursive genomewide recombination and sequencing method
78 The
recursive,
hierarchical embedding of language units (for
79 e have compared the efficacy of our proposed
Recursive Hybrid model with individual dose-response pre
80 n for the welfare of their children; this is
recursive in the sense that the children's welfares incl
81 Using a
recursive incentive mechanism that both spread informati
82 t using different degrees of sophistication (
recursive inferences) and applied an ecologically valid
83 HSCs and is reinforced over cell division by
recursive interactions between transcriptional programs
84 romodulation of UNC-7 ensures attenuation of
recursive intromission attempts when the male disengages
85 hormone concentration time series; and then,
recursive iteration between the following two: (a) for a
86 We developed a
recursive-
learning algorithm to predict PIP3 regulation
87 A
recursive least-squares algorithm is subsequently used t
88 e synthesized remarkably large genes without
recursive ligation.
89 In this TARL model (for topics, aging, and
recursive linking), the number of topics is linearly rel
90 s, interacting with each other in a complex,
recursive manner.
91 Self similarity, power laws, and
recursive mapping algorithms are associated with fractal
92 ees, self-organizing feature maps (SOFM) and
recursive maximum contrast trees (RMCT).
93 hway with a finite number of states, using a
recursive method to solve algebraically for the appropri
94 Signal intensity buildup was fit to a
recursive model that regionally solves for fractional ve
95 chia coli combinatorial libraries created by
recursive multiplex recombineering at a depth 10(4)-fold
96 t loop length diversity, loop shuffling, and
recursive mutagenesis of diverse populations are all cri
97 The
recursive nature of path integration results in accumula
98 ple network nodes and subsequently used in a
recursive neighborhood construction method.
99 res, demographic, and visual factors, with a
recursive neural network (RNN) model in the same platfor
100 First, we use 2D
recursive neural networks to predict coarse contacts and
101 The first step uses
recursive neural networks to predict pairing probabiliti
102 classes of predictors using two-dimensional
recursive neural networks: an ab initio predictor that r
103 ncreased behavioural predictability in other
recursive,
non-cooperative environments such as economic
104 ibrium among the DR loci, we applied a novel
recursive organizer (ROR) to discover disease-associated
105 We extend the model-based
recursive partition method to produce predictions based
106 We used
recursive partitioning (classification trees) to derive
107 A new method, called line-walking
recursive partitioning (LWRP), for partitioning diverse
108 ical decision trees were developed using the
recursive partitioning algorithm CHAID (chi2 Automatic I
109 By applying a
recursive partitioning algorithm, we found that the high
110 Recursive partitioning algorithms separated out 2 cluste
111 We used
recursive partitioning analyses to identify factors (inc
112 fication on possible confounding factors and
recursive partitioning analyses were also conducted.
113 In
recursive partitioning analyses, age, RA global severity
114 In
recursive partitioning analyses, RA disease factors pred
115 We used
recursive partitioning analysis (RPA) and adjusted hazar
116 For HPV-related OPC,
recursive partitioning analysis (RPA) derived new RPA st
117 Recursive partitioning analysis (RPA) identified TTI thr
118 To refine the existing clinically based
recursive partitioning analysis (RPA) model by incorpora
119 Recursive partitioning analysis (RPA) stratified the DM
120 Recursive partitioning analysis (RPA) was used to create
121 Recursive partitioning analysis (RPA) was used to derive
122 Multivariable logistic regression and
recursive partitioning analysis (RPA) were performed to
123 Cox proportional hazards (PH) regression and
recursive partitioning analysis (RPA) were performed to
124 Recursive partitioning analysis (RPA), a method of build
125 Survival of these 16 patients, by
recursive partitioning analysis (RPA), was 11.2, 13.3, a
126 By using
recursive partitioning analysis (RPA), we developed new
127 uding the Radiation Therapy Oncology Group's
recursive partitioning analysis (RTOG-RPA) class.
128 ancer Institute of Canada trial 26981/22981 (
recursive partitioning analysis [RPA] class III, 19 v 21
129 on with the Radiation Therapy Oncology Group
Recursive Partitioning Analysis Brain Metastases Databas
130 prognostic Radiation Therapy Oncology Group
recursive partitioning analysis class and geographic reg
131 nalysis showed that poor prognosis patients (
recursive partitioning analysis class V/VI) may derive a
132 isation for Research and Treatment of Cancer
recursive partitioning analysis class, MGMT promoter met
133 Patients were stratified by
recursive partitioning analysis class, number of brain m
134 on and T stage, N stage, stage grouping, and
recursive partitioning analysis classes (r = -0.07 to 0.
135 stage, N stage, combined stage grouping, and
recursive partitioning analysis classes.
136 ection, and Radiation Therapy Oncology Group
recursive partitioning analysis classification did not d
137 Recursive partitioning analysis confirmed portal hyperte
138 A novel nodal staging system derived by
recursive partitioning analysis exhibited greater concor
139 Recursive partitioning analysis identified the number of
140 Recursive partitioning analysis indicates that involved
141 breast-GPA, multivariable Cox regression and
recursive partitioning analysis led to the development o
142 ndent risk factors for LD were included in a
recursive partitioning analysis model.
143 Recursive partitioning analysis more accurately identifi
144 Recursive partitioning analysis reinforced the prognosti
145 Recursive partitioning analysis showed elevated rates of
146 We apply
recursive partitioning analysis to examine the relations
147 Recursive partitioning analysis was used to determine cu
148 Recursive partitioning analysis was used to group patien
149 Recursive partitioning analysis yielded 4 TNM groups: st
150 Using cut-points from
recursive partitioning analysis, we derived a 5-miRNA si
151 calcified plaque area was evaluated by using
recursive partitioning analysis.
152 Cox proportional hazard models and
Recursive Partitioning and Amalgamation (RECPAM) tree-re
153 Recursive partitioning and causal modeling procedures we
154 Recursive partitioning and clinical characteristics iden
155 Multivariable analyses were performed using
recursive partitioning and Cox proportional hazards regr
156 Statistical methods included
recursive partitioning and Kaplan-Meier analyses.
157 We used
recursive partitioning and multivariable Cox models to i
158 scriminant analysis, support vector machine,
recursive partitioning and regression tree, generalized
159 scriminant Analysis (LDA), Naive Bayes (NB),
Recursive Partitioning and Regression Trees (RPART), and
160 polymorphisms, and apply statistical methods-
recursive partitioning and regression-to pinpoint diseas
161 th such methods is deciding when to halt the
recursive partitioning and what criteria to use in decid
162 Recursive partitioning further demonstrated that combina
163 (95% CI, 0.948-0.975) respectively, whereas
recursive partitioning had relatively the poorest perfor
164 Recursive partitioning identified a group of patients wi
165 Recursive partitioning identified best MDM combinations.
166 Recursive partitioning identified three genes as signifi
167 Recursive partitioning identified ultralow risk as the m
168 Our findings also demonstrate the value of
recursive partitioning in deriving valid claims-based al
169 Survival analysis with
recursive partitioning in node-negative ERalpha-positive
170 Recursive partitioning is a non-parametric modeling tech
171 Model-based
recursive partitioning is used to identify groups of obs
172 Recursive partitioning may aid in developing novel inter
173 These findings suggest that
recursive partitioning may be a useful statistical tool
174 assification analyses using a non-parametric
recursive partitioning method (random forests) were empl
175 he party package in R implements model-based
recursive partitioning method.
176 The
recursive partitioning model provided a quantitative pre
177 Disability risk groups were identified using
recursive partitioning modeling.
178 s to generate Kohonen maps, Sammon maps, and
recursive partitioning models.
179 sion were identified by using univariate and
recursive partitioning multivariate analysis.
180 Recursive partitioning offers a practical, user-friendly
181 Recursive partitioning on the training set (n = 1551) id
182 ed machine learning algorithms the result of
Recursive Partitioning proved to be the most accurate.
183 the Dirichlet-multinomial distribution with
recursive partitioning providing a fully non-parametric
184 period from initial screening in 1996-1998,
recursive partitioning selected six of 22 candidate pred
185 Recursive partitioning showed that a cutoff point of 639
186 These findings illustrate the utility of
recursive partitioning techniques in identifying biomark
187 ing homogeneous subpopulations, then applies
recursive partitioning techniques to generate a decision
188 Recursive partitioning techniques were used to identify
189 Objective: To apply
recursive partitioning to derive and validate a claims-b
190 We then employed
recursive partitioning to derive two DIs: Chest CT-All m
191 OS), Kaplan-Meier curves to estimate OS, and
recursive partitioning to determine optimal cutoff point
192 We exploit and expand the methodology of
recursive partitioning trees for tumor and cell classifi
193 agreement were calculated, and multivariate
recursive partitioning was performed to evaluate various
194 Recursive partitioning was used to create a risk index b
195 Recursive partitioning was used to derive an initial rul
196 o define independent prognostic factors, and
recursive partitioning was used to develop a prognostic
197 Recursive partitioning was used to develop a SEER-based
198 Recursive partitioning was used to generate a decision t
199 ultivariate-adjusted logistic regression and
recursive partitioning were used to determine the associ
200 Spearman rank correlation coefficients and
recursive partitioning were used to examine correlations
201 Recursive partitioning with bootstrapping was used to di
202 Recursive partitioning with univariate Cox models of eve
203 or machine, naive Bayes' classification, and
recursive partitioning).
204 plan-Meier analysis of all possible subsets,
recursive partitioning, and Cox proportional hazards reg
205 learning algorithms: Support Vector Machine,
Recursive Partitioning, Random Forest, Naive Bayes, Logi
206 Using
recursive partitioning, these experimental results were
207 ents from support vector machines (SVMs) and
recursive partitioning, while circumventing the need for
208 nosticators (eg, CD38, ZAP-70) was ranked by
recursive partitioning.
209 d random forests methodology for model-based
recursive partitioning.
210 random forest type approach for model-based
recursive partitioning.
211 ed with multivariate logistic regression and
recursive partitioning.
212 re determined using the Cox model and binary
recursive partitioning.
213 We propose a novel model-based
recursive-
partitioning algorithm to navigate clusters in
214 Recursive-
partitioning analyses demonstrated the relevan
215 Using
recursive-
partitioning analysis, we classified our patie
216 The
recursive-
partitioning technique examined multiple marke
217 We found the
recursive peak integration to be a key point for the rel
218 er set of amino acids, may have expanded via
recursive periods of genetic code ambiguity that were fo
219 out on a quantum computer simulator using a
recursive phase-estimation algorithm.
220 ticompartmentalized proteinosomes based on a
recursive Pickering emulsion procedure using amphiphilic
221 e emergence of proto-enzymatic function from
recursive polymerisation reactions using amino acids and
222 We find the interactions to be highly
recursive positive feed-forward and negative feedback lo
223 In this work, we present a novel
REcursive Prediction (REP) framework for drug response p
224 y reveals that zebrafish are equipped with a
recursive prey capture algorithm, built up from simple s
225 VMs) have been found to be successful with a
recursive procedure in selecting important genes for can
226 the specific classifier and how much on the
recursive procedure.
227 An iterative and
recursive process of analysis ensured saturation of the
228 ding a baseline and initial trajectory for a
recursive process, apparently small but early alteration
229 The bifurcation facilitates
recursive processing of infected population through line
230 Recursive pruning is used to reduce the size of both the
231 he efficiencies of several other techniques:
recursive random mutagenesis (asexual), combinatorial ca
232 Recursive random mutagenesis produced essentially asexua
233 HAMLs can be designed by combining
recursive ray-tracing and simulated phase libraries rath
234 ontinual disruption of equilibrium states in
recursive reaction networks, driven by periodic environm
235 four reaction cycles, product mixtures from
recursive reactions exhibit greater catalytic activity a
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 et of a more basic cognitive ability such as
recursive representational redescription.
241 of the GCM dataset, the results achieved by
recursive RR are also very encouraging.
242 This may be the reason why
recursive RR has a better performance in selecting genes
243 The Gibbs
Recursive Sampler is distributed in accordance with the
244 iation of the Gibbs Motif Sampler, the Gibbs
Recursive Sampler, which has been developed specifically
245 rithms, including its predecessor, the Gibbs
Recursive Sampler.
246 s computed with the partition functions in a
recursive sampling process, the backward step of the alg
247 in the different libraries, as determined by
recursive screening under stress.
248 A
recursive search of all citations to the article was per
249 ds, multiple file masks, ls-lR file parsing,
recursive search, recent updates, etc.).
250 We present a novel
recursive segment-wise peak alignment (RSPA) method to r
251 d alignment algorithms specific to NMR data,
recursive segment-wise peak alignment and interval corre
252 Such domains are frequently identified using
recursive segmentation algorithms based on the Jensen-Sh
253 DEX also includes a Poisson likelihood-based
recursive segmentation procedure that explicitly models
254 We describe the first example of the
recursive selection of biologically relevant macromolecu
255 dergo heterotypic interactions, coupled with
recursive self-assembly of SYCP1, SYCE2-TEX12, and SYCP2
256 failure takes on extra significance through
recursive self-prediction, potentially motivating severa
257 ely recognize acoustic patterns defined by a
recursive,
self-embedding, context-free grammar.
258 with feature selection in recursive and non-
recursive settings on three DNA microarray datasets (ALL
259 Recursive shuffling of whole genomes has recently been d
260 re given for treating a plethora of feedback-
recursive situations.
261 r introns contain a cryptic site, known as a
recursive splice site (RS-site), that enables a multi-st
262 of enrichment and conservation indicate that
recursive splice sites are advantageous in the context o
263 Recursive splice sites predicted with highly stringent c
264 hanism that subdivides many large introns by
recursive splicing at nonexonic elements and alternative
265 Recursive splicing constructs, which uncouple U1 recruit
266 We also show that
recursive splicing is a constitutive process, that deple
267 Recursive splicing is a process in which large introns a
268 Together, these results indicate that
recursive splicing is commonly used in Drosophila, occur
269 RP3 within Ultrabithorax also confirmed that
recursive splicing is the predominant processing pathway
270 The extent to which
recursive splicing occurs in other species and its mecha
271 We find that vertebrate
recursive splicing requires initial definition of an 'RS
272 hat these introns are removed by a series of
recursive splicing steps using the predicted nonexonic s
273 The sequential nature of
recursive splicing was confirmed by identification of la
274 Recursive splicing was first identified in the Drosophil
275 ive process, that depletion of U2AF inhibits
recursive splicing, and that the sequence and function o
276 e since been experimentally shown to undergo
recursive splicing.
277 multi-step process of intron removal termed
recursive splicing.
278 cuss currently known and potential roles for
recursive splicing.
279 We also use the
recursive stacking approach to study phase transformatio
280 In this work, we explore the use of an XRD
recursive-
stacking formalism for the quantification of h
281 We formulate the
recursive-
stacking methodology for modelling of disorder
282 The workflow implements a
recursive strategy by which relevant reads are successiv
283 ot match human linguistic skills in terms of
recursive structure and combinatorial power.
284 To this end, REP employs a built-in
recursive structure that exploits the intrinsic time-cou
285 uantum numbers, and report evidence of their
recursive structure.
286 The mechanism of invasion is
recursive subspheroid component development at the tumor
287 For all sets, we have compared the CRF and
recursive support vector machines (RSVM) approaches to f
288 partial least squares discriminant analysis,
recursive-
support vector machine, and random forests rev
289 The supervised machine learning model,
recursive-
support vector machine, could classify abiotic
290 hed result (zero error rate using 8 genes by
recursive SVM).
291 ctural parameters defining a simultaneous or
recursive system have a bearing on the interpretation of
292 The major pathways are
recursive:
the dorsolateral pallium (DL) projects strong
293 nes of inquiry suggest an important role for
recursive thinking (RT) and theory of mind (ToM), but th
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