ライフサイエンスコーパス: penalize

1 above the penalty threshold and 2 were newly penalized).

2 longer-distance connections is increasingly penalized.

3 erform verification and false reports can be penalized.

4 ipating in the HAC program, 721 (22.0%) were penalized.

5 nt central fixation bias whereas others will penalize a model that does.

6 above the penalty threshold and 1 was newly penalized) and 5 hospitals within the 30-day window (3 w

7 ns with fewer than two unpaired nucleotides, penalizes asymmetry in the distribution of unpaired nucl

8 The second term penalizes average visual aiming error, which is the inst

9 We develop SparScape, a penalized Bayesian method for identifying DBFs active in

10 time, the holo protein becomes energetically penalized because the twisting back of H120 into Cu-boun

11 udy uses Bayesian sparse factor modeling and penalized binary regression to define peripheral blood g

12 ns, the L3MBTL1 binding pocket energetically penalizes both methylation states and has most probably

13 ith another with a 0% transfer rate would be penalized by 14 excess deaths per 1000 admissions when a

14 s the maximized log likelihood for the model penalized by a multiple of the model's degrees of freedo

15 which physicians can most easily avoid being penalized by avoiding or deselecting patients with high

16 Off-pathway structures are penalized by excess distortion in local backbone configu

17 etraloop/tetraloop-receptor interactions are penalized by high conformational free energies.

18 maximizing a product of binomial likelihoods penalized by nearest neighbor interactions.

19 patients and are concerned that they will be penalized by performance measures or patient ratings of

20 f the posterior classification probabilities penalized by the number of incorrectly classified sample

21 rporate such prior knowledge into building a penalized classifier.

22 concrete examples, we apply the idea to two penalized classifiers, nearest shrunken centroids (also

23 Contact inhibition penalizes clumped cells by halting their growth and give

24 , and that modifying the scoring function to penalize complex networks hampers model averaging.

25 llinearity problem, several methods based on penalized Cox proportional hazards models have been prop

26 Supervised principal components and lasso penalized Cox proportional hazards regression (Coxnet) w

27 Penalized Cox regression including microRNA expression,

28 We propose to implement the penalized Cox regression with a lasso penalty via the gr

29 low- and high-risk groups was produced using penalized Cox regression.

30 A- and RNA-binding proteins, regression that penalizes cross-predictions, and a novel two-layered arc

31 Using penalized discriminant analysis, we have identified a pa

32 lographic errors and ambiguities, adequately penalizes domain and/or secondary structure rearrangemen

33 A grouping algorithm based on a penalized entropy measure is proposed to reduce the dime

34 GFL is based on penalized estimation and is capable of processing multip

35 We discuss penalized estimation and present an efficient algorithm

36 We propose to use the L(1) penalized estimation for the Cox model to select genes t

37 This article extends our recent research on penalized estimation methods in genome-wide association

38 , and desirable results are obtained using a penalized estimation techniques.

39 ty factors imply the existence of costs that penalize excess capacities.

40 In this article, we proposed a penalized Exponential Tilt Model (pETM) using network-ba

41 Various penalty functions are used to penalize extreme estimates of the fitnesses, thus correc

42 ovide a review of several recently developed penalized feature selection and classification technique

43 and low-quality, expensive providers will be penalized financially.

44 As hospitals are penalized for not reaching specific rates of FTR, we mus

45 function for read-to-genome matchings, which penalizes for sequence dissimilarities and deviations fr

46 combinations with redundant information, and penalizes for unjustifiable complexity; each step is KWI

47 he modeled protein structures suggested that penalizing for exposed hydrophobic surface area can impr

48 We demonstrate the importance of penalizing gaps for best alignments.

49 r care, and pay-for-performance programs may penalize healthcare providers of patients with multiple

50 Several emerging payment policies penalize hospitals for low-value healthcare.

51 Several emerging payment policies penalize hospitals for low-value healthcare.

52 The decision to penalize hospitals for readmissions is compelling health

53 Accordingly, the metric may unfairly penalize hospitals that care for underserved patients.

54 to measure readmission rates and financially penalize hospitals with higher-than-expected readmission

55 vs nontarget conditions for patients at the penalized hospitals but not at the other hospitals.

56 Readmission Reduction Program (HRRP), which penalizes hospitals for excess readmissions for acute my

57 The Hospital Readmissions Reduction Program penalizes hospitals that have high 30-day readmission ra

58 ices Hospital Readmissions Reduction Program penalizes hospitals with higher-than-expected risk-adjus

59 ogram accurately measures quality and fairly penalizes hospitals.

60 veloping quality indicators and any policies penalizing hospitals for surgical readmission.

61 cies to find out whether parasites favour or penalize hybridization.

62 Hospitals were more likely to be penalized if they were accredited by the Joint Commissio

63 ensatory trans-acting suppressors, cells are penalized in the long term by changes in gene expression

64 at produce the haplo-diploid pattern without penalizing inbreeding.

65 constraining trajectories to the target and penalizing intermediate movements.

66 We adapt a new measure of dissimilarity, penalized Kendall's tau-distance, which does not depend

67 r, the [Formula: see text]-norm penalty over-penalizes large coefficients and may incurs estimation b

68 ns from the cluster-membrane elastic energy, penalizing large clusters due to their high intrinsic cu

69 Results By using penalized lasso Cox proportional hazards regression, we

70 which is fitted with a total variation (TV) penalized least squares model.

71 etection of DNA copy number alterations as a penalized least squares regression problem.

72 percent of hospitals (330 of 1186) would be penalized less than 1% of total Medicare revenue whereas

73 2.5 function and the inclusion of terms that penalize ligand-protein interactions that violate establ

74 PET reconstruction software using a Bayesian penalized likelihood (BPL) reconstruction algorithm (ter

75 We present a penalized likelihood approach, with penalties on QTL and

76 d depth information and utilizes the maximum penalized likelihood estimation (MPLE) model to identify

77 d here is a special case of what is known as penalized likelihood estimation.

78 od is based on (a) defining an (approximate) penalized likelihood for how recombination rate varies w

79 or a given value of the tuning constant, the penalized likelihood is quickly maximized by cyclic coor

80 The penalized likelihood method allows spurious QTL effects

81 lation studies also show that results of the penalized likelihood method are comparable to the Bayesi

82 nd replicated time course RNA-Seq data via a penalized likelihood method.

83 Flexible modeling approaches, based on penalized likelihood methods and expectation-maximizatio

84 is problem has recently been addressed using penalized likelihood methods, we adopt a Bayesian approa

85 th physical position and (b) maximizing this penalized likelihood over possible sets of recombination

86 Structure inference is based on a penalized likelihood ratio and an adaptation of Occam's

87 ementation of a divergence time method using penalized likelihood that can handle datasets of thousan

88 ession is a bias-reduction method based on a penalized likelihood to discover rare variants that are

89 Estimates are obtained by maximizing a penalized likelihood.

90 We develop a maximum penalized-likelihood (MPL) method to estimate the fitnes

91 .44-.89; P = .009; fluoroquinolones: profile penalized-likelihood OR [log(days)], 0.62; 95% CI, .39-1

92 Q.Clear, a Bayesian penalized-likelihood reconstruction algorithm for PET, w

93 Thanks to a penalized linear model, we also show that the number of

94 orithm, Treegl, an l(1) plus total variation penalized linear regression method, to effectively estim

95 ics with shrinkage by formally using the (1) penalized linear regression models for two-class microar

96 And we show that the penalized linear regression models provide a rigorous an

97 model subject to a sum-to-zero constraint in penalized linear regression, where the correspondence be

98 Here we explore the penalized linear regression.

99 or probabilities for feature relevance in L2 penalized linear regression.

100 A conservative version of our penalized LOD score provides strict control over the rat

101 e) selection step, however, must be added to penalized logistic modeling due to a large number of gen

102 We used penalized logistic regression and 1-sided gene-burden an

103 i-label predictor, namely mPLR-Loc, based on penalized logistic regression and adaptive decisions for

104 ed by an adaptive decision-based multi-label penalized logistic regression classifier.

105 We previously developed a network-based penalized logistic regression for correlated methylation

106 t article evaluates the performance of lasso penalized logistic regression in case-control disease ge

107 In this article, we proposed a penalized logistic regression model for correlated DNA m

108 Three penalized logistic regression models were fit using the

109 ical analysis was performed using linear and penalized logistic regression to assess associations wit

110 Using elastic-net penalized logistic regression, 118 baseline predictors w

111 clinical prediction rule was developed using penalized logistic regression, evaluated using ROC analy

112 r interactions can also be examined by lasso penalized logistic regression.

113 the model and the optimal shrinkage for the penalized logistic regression.

114 ctor machine, kernel logistic regression and penalized logistic regression.

115 nes in a pathway were considered together, a penalized longitudinal model under the quadratic inferen

116 luate 2 bias correction approaches-the Firth penalized maximum likelihood method and Cordeiro and McC

117 We develop a penalized maximum likelihood method.

118 The PUMA framework implements the penalized maximum likelihood penalties previously propos

119 analysis, but the computational speed of the penalized method is orders of magnitude faster.

120 Although penalized methods have advantages for very small sample

121 ll the genes equally a priori as in standard penalized methods, we group the genes according to their

122 methods perform better than the two standard penalized methods, yielding higher predictive accuracy a

123 GPS models observed reads using a complexity penalized mixture model and efficiently predicts event l

124 h or without initial variable selection, the penalized mixture model performed much better in identif

125 The penalized mixture model seems to be promising for high-d

126 We applied our penalized mixture model to a combined dataset containing

127 ional data as encountered here, we propose a penalized mixture model with a weighted L1 penalty to re

128 This estimation problem also succumbs to a penalized MM algorithm.

129 on of the 3-month biopsies and fitting a new penalized model, 100% sensitivity was observed in classi

130 ata variable selection is necessary, several penalized model-based clustering methods have been propo

131 henotypic data (67 continuous variables) and penalized model-based clustering, to define and characte

132 is present in FCS data sets and additionally penalizes model complexity to prevent over interpretatio

133 ons and correlated noise while appropriately penalizing model complexity according to Occam's Razor t

134 physical models for FCS data, appropriately penalizing model complexity according to the Principle o

135 e HAC Reduction Program, hospitals that were penalized more frequently had more quality accreditation

136 A conservative penalized multinomial logistic regression model identifi

137 Penalized multinomial logistic regression was utilized t

138 ovel mapping of multiset gene set testing to penalized multiple linear regression.

139 Penalized Multiple Regression (PMR) can be used to disco

140 Our methodology is the first penalized multiple regression approach that explicitly c

141 Although many penalized multiple regression methodologies have been pr

142 Statistically, MotifExpress uses a penalized multivariate regression approach with a compos

143 gration of various biological networks using penalized non-negative matrix tri-factorization (PNMTF).

144 Low light in the vigorous blocks penalized norisoprenoids peak concentration.

145 ed NSC (ALP-NSC) and adaptive hierarchically penalized NSC (AHP-NSC), with two different penalty func

146 r two new methods, adaptive L(infinity)-norm penalized NSC (ALP-NSC) and adaptive hierarchically pena

147 roposed a regularized regression method that penalizes on the difference of signal strength between t

148 isms; a key feature of the method is that it penalizes overparameterization.

149 To serve the purpose, we propose a novel penalized partial least squares (PPLS) method to build a

150 est shrunken centroids (also called PAM) and penalized partial least squares (PPLS).

151 h as partial least squares (PLS) methods and penalized PLS (PPLS) methods.

152 of a prediction model, the misclassification-penalized posterior (MiPP), the sum of the posterior cla

153 criminant analysis via the misclassification penalized posterior algorithm.

154 s formula for controlling physician payments penalizes primary care physicians; and 4) private insure

155 We combined the penalized procedure with a stability selection procedure

156 ompared with the unpenalized QIF method, the penalized QIF (pQIF) method achieved better estimation a

157 RR classifier tends to penalize redundant features to a much larger extent than

158 tal results shows that different classifiers penalize redundant features to different extent and this

159 We describe a method, termed Differentially Penalized Regression (DiPR), which uses standard ridge r

160 n, we developed gene set Selection via LASSO Penalized Regression (SLPR), a novel mapping of multiset

161 Alternatively, Lasso penalized regression allows one to jointly model the rel

162 better predictive performance than the L(2) penalized regression and a few other dimension-reduction

163 proach to detect such interactions that uses penalized regression and sparse estimation principles, a

164 zed set of guidelines for the application of penalized regression for reproducible class comparison a

165 We implement our model in a penalized regression framework and demonstrate in a simu

166 h to confounder selection, using elastic net penalized regression in the latter case.

167 Rare variant discovery by group penalized regression is now implemented in the free prog

168 Lasso penalized regression is particularly advantageous when t

169 of functionally related genes, we propose a penalized regression method that maps multiple expressio

170 Penalized regression methods have been adopted widely fo

171 The penalized regression methods performed similarly in dete

172 ies for each variable unlike LASSO and other penalized regression methods.

173 We propose a penalized regression model incorporating grid search met

174 We demonstrate a type of penalized regression model that can be estimated from la

175 best predictors of a phenotype by a concave penalized regression model, while estimating the impact

176 ks simultaneously usually with the aids of a penalized regression model.

177 diction methods including random forests and penalized regression models (ridge regression, elastic n

178 paper we systematically discussed the use of penalized regression models for analyzing microarray dat

179 roid used by Tibshirani et al. using the (1) penalized regression models.

180 The algorithm uses a penalized regression that balances a data fitting term w

181 nsions at the sample size; second, a grouped penalized regression was applied to further refine the m

182 Penalized regression was chosen to prevent overfitting.

183 We impose sparseness by using penalized regression with a penalty based on the L0-norm

184 s, support vector regression and elastic net penalized regression) were explored.

185 xp R: essi O: n regulators identified W: ith penalized regression).

186 chine learning methods (regression trees and penalized regressions) designed to evaluate cross-valida

187 y of the scientific workforce, we should not penalize researchers who are unable to move abroad for l

188 Here we show that soybeans penalize rhizobia that fail to fix N(2) inside their roo

189 e revenues, allocate resources, economically penalize risk behavior, and broadly regulate in the publ

190 is paper, we propose the truncated l 1 -norm penalized SCCA to improve the performance and effectiven

191 olute shrinkage and section operator (LASSO) penalized selection method and then evaluated the predic

192 We developed a penalized selection operator for jointly analyzing multi

193 d to be of a generalized Boltzmann form that penalizes signals that are costly and sensitive to error

194 als with the highest quality score of 8 were penalized significantly more frequently than hospitals w

195 entiate insertions from deletions and end up penalizing single insertion events multiple times.

196 line correction function in XWINNMR 3.5, the penalized smoothing method provides more accurate baseli

197 e to concerns that quality measures unfairly penalizes SNH, NQF recently recommended that performance

198 A piecewise constant penalized spline approach incorporating time-varying coe

199 Penalized spline models of long-term exposure indicated

200 We used penalized splines to assess potential nonlinear associat

201 Penalized splines were also fit to estimate the function

202 Penalized splines were implemented to explore possible n

203 r developmental patterns were examined using penalized splines within a general additive model.

204 he concentration-response relationship using penalized splines, and changes in the slope of the relat

205 e anxiety using general additive models with penalized splines, while controlling for gray matter den

206 CBF evolution with development as modeled by penalized splines.

207 XS-fitting score and a collision energy that penalizes steric collisions.

208 EM-fitting score and a collision energy that penalizes steric collisions.

209 ominance in the ensuing germ cell pool while penalizing stragglers.

210 Smoothing can be achieved by penalizing strain changes from one marker to the next.

211 We propose the penalized t-/F-statistics for two-class microarray data

212 We generalize the two-class penalized t/F-statistics proposed by Wu to multi-class m

213 Recently Wu proposed the penalized t/F-statistics with shrinkage by formally usin

214 mparable and significance thresholds tend to penalize TAs and FAs in a similar fashion.

215 Penalizing terminal AU base pairs by 0.45 kcal/mol relat

216 We will show that the penalized test statistics intuitively makes sense and th

217 hospitals were almost twice as likely to be penalized than non-minority-serving hospitals (61% vs 32

218 deadlines for compliance and legislation to penalize the defaulting institutions and programs may he

219 ic regression is accordingly adopted here to penalize the homolog noise and to reduce the computation

220 a network-constrained penalty function that penalizes the L(1)-norm of the coefficients but encourag

221 an be tolerated in some cases without overly penalizing the tightness of binding.

222 than algorithms for correct predictions and penalized them less for incorrect predictions.

223 he gold standard treatments in amblyopia are penalizing therapies, such as patching or blurring visio

224 to a modified reproductive strategy without penalizing total seed production.

225 rtile of each measure were more likely to be penalized under VBP than other hospitals (62.9% vs. 51.0

226 lgorithmic and heuristic framework for PUMA (Penalized Unified Multiple-locus Association) analysis t

227 mented a smoothly clipped absolute deviation-penalized variable selection method to evaluate an optim

228 rization term in the objective function that penalizes vectorial invariants of the reconstructed surf

229 vor of this, as does the use of metrics that penalize volume mismatch less than the Tanimoto, e.g., T

230 We develop a penalized weighted low-rank approximation method (WPLA)

231 pitalization for a COPD exacerbation will be penalized with reduced reimbursement for the treatment o