ライフサイエンスコーパス: penalize

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

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

3 ions are thus energetically and entropically penalized.

4 longer-distance connections is increasingly penalized.

5 erform verification and false reports can be penalized.

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

7 bank, predictors have been constructed using penalized algorithms that favor sparsity: i.e., which us

8 ute shrinkage and selection operator (LASSO)-penalized and multivariable logistic regression analyses

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

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

11 ns are accurately predicted by the Forest by Penalizing Attributes (Forest PA) classifier.

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

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

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

15 by feature selection based on literature, a penalized binary logistic regression model, and random f

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

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

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

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

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

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

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

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

24 Then, the model goodness of fit is penalized by some suitable function of interest.

25 rving hospitals are being disproportionately penalized by the HACRP.

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

27 estimation algorithm incorporates a function penalizing changes far from known well locations, linkin

28 ve simulations demonstrate that our proposed penalized CIA methods achieve the best or close to the b

29 rporate such prior knowledge into building a penalized classifier.

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

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

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

33 his gap, we characterized the performance of penalized Cox proportional hazard models built using eit

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

35 We evaluated gene-level and pathway-level penalized Cox proportional hazards models using SPM and

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

37 Penalized Cox regression including microRNA expression,

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

39 By penalized Cox regression, a prognostic GE signature coul

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

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

42 QWK progressively penalizes disagreements that exceed 1 level.

43 Using penalized discriminant analysis, we have identified a pa

44 to mean imputation, single imputation, and a penalized EM algorithm incorporating non-random missingn

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

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

47 We discuss penalized estimation and present an efficient algorithm

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

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

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

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

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

53 tiles of the activity distribution correctly penalizes extrapolation of models onto structurally diff

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

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

56 nables the incorporation of weights for each penalized feature.

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

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

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

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

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

62 or data-adaptively optimized thresholds) and penalized, genome-wide effect size weighting.

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

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

65 The decision to penalize hospitals for readmissions is compelling health

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

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

68 dicaid Services measures may unintentionally penalize hospitals with increased SNB following Medicaid

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

70 al Readmissions Reduction Program (HRRP) has penalized hospitals with higher 30-day readmission rates

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

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

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

74 ogram accurately measures quality and fairly penalizes hospitals.

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

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

77 originates from a cost function that overly penalizes hypermetric errors.

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

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

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

81 constraining trajectories to the target and penalizing intermediate movements.

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

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

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

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

86 ally relevant region around sepsis onset and penalizes late predictions and false positives.

87 uch as canonical correlation analysis (CCA), penalized least squares (PLS), various approaches have b

88 d gene regulatory networks using a two-stage penalized least squares method.

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

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

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

92 2.5 function and the inclusion of terms that penalize ligand-protein interactions that violate establ

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

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

95 Regression models using Firth penalized likelihood assessed the association between ve

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

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

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

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

100 The penalized likelihood method allows spurious QTL effects

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

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

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

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

105 y, fossil and geological calibrations into a Penalized Likelihood model used to infer 18,630 plausibl

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

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

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

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

110 Estimates are obtained by maximizing a penalized likelihood.

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

112 .44-.89; P = .009; fluoroquinolones: profile penalized-likelihood OR [log(days)], 0.62; 95% CI, .39-1

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

114 We present a multi-kernel penalized linear mixed model with adaptive lasso (MKpLMM

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

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

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

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

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

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

121 Here we explore the penalized linear regression.

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

123 models and the EM algorithm with an entropy penalized log-likelihood function (EPEM).

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

125 near kernel (0.780), and [Formula: see text] penalized logistic regression (0.780).

126 LASSO-penalized logistic regression analysis identified substa

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

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

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

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

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

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

133 A Lasso-penalized logistic regression model with 2011-3 data was

134 usion of highly correlated features, and the penalized logistic regression models using least absolut

135 Three penalized logistic regression models were fit using the

136 We find that elastic net penalized logistic regression performs particularly well

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

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

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

140 g that combined predictions from elastic net penalized logistic regression, random forest, gradient b

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

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

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

144 ced-stage FL (area under the curve, 0.98) by penalized logistic regression.

145 mmunodeficiency virus (HIV) serostatus using penalized logistic regression.

146 ive for influenza vs RSV using multivariable penalized logistic regression.

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

148 fitting logistic regression (LR) and Firth's penalized LR.

149 entional CCA proposed by Parkhomenko et al., penalized matrix decomposition CCA proposed by Witten an

150 ditional risk scores were studied by using a penalized matrix decomposition with cross-validation; ri

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

152 We develop a penalized maximum likelihood method.

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

154 Penalized maximum logistic regression models were fitted

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

156 Although penalized methods have advantages for very small sample

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

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

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

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

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

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

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

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

165 In both models, we penalize model complexity by prioritizing genetic cluste

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

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

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

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

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

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

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

173 Calibrators included ridge-penalized multinomial logistic regression (MR) and Platt

174 A conservative penalized multinomial logistic regression model identifi

175 Penalized multinomial logistic regression was utilized t

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

177 ive elastic-net was implemented to perform a penalized multiple logistic regression on all biomarkers

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

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

180 tially smaller than the number of markers, a penalized multiple regression method can be adopted by f

181 Although many penalized multiple regression methodologies have been pr

182 Penalized multivariable regression was used to assess th

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

184 al lasso with an additional regularizer that penalizes network variations over time.

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

186 grained version of the elastic energy, which penalizes nonuniform wrinkle spacing and amplitude, as w

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

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

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

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

191 se two novel rank-based loss functions which penalize only the out-of-sample predicted ranks of high-

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

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

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

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

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

197 criminant analysis via the misclassification penalized posterior algorithm.

198 oncern that value-based payment programs may penalize practices that serve vulnerable populations.

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

200 We combined the penalized procedure with a stability selection procedure

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

202 linear regression (RLR), Cforest, Non-convex penalized quantile regression (NCPQR), Neural network wi

203 Here, we develop such a method, PQLseq (Penalized Quasi-Likelihood for sequencing count data), t

204 nally efficient algorithm, which is based on penalized quasi-likelihood, SPARK is also scalable to da

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

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

207 mber of complex disease conditions, using L1-penalized regression (also known as LASSO) on case-contr

208 We introduce cross-trait penalized regression (CTPR), a powerful and practical ap

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

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

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

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

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

214 mmunities of related control elements with a penalized regression approach, we developed individual m

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

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

217 For ML, ridge penalized regression has been applied to 38 features ext

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

219 Lasso penalized regression is particularly advantageous when t

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

221 Penalized regression methods have been adopted widely fo

222 Frequently used penalized regression methods often lead to large number

223 The penalized regression methods performed similarly in dete

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

225 We propose a penalized regression model incorporating grid search met

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

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

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

229 We used adjusted Elastic Net penalized regression models (ENET) to select biomarkers

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

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

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

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

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

235 Penalized regression was chosen to prevent overfitting.

236 Elastic net penalized regression was used to select 94 CpG sites fro

237 Hierarchical clustering and penalized regression were applied in order to address hi

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

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

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

241 iates, and permits statistical inference and penalized regression.

242 ere selected by stepwise regression or lasso penalized regression.

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

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

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

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

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

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

249 We developed a penalized selection operator for jointly analyzing multi

250 ision of predictions differed by method with penalized signal regression resulting in the most accura

251 e and relative sliding time window analyses, penalized signal regression, climate sensitivity profile

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

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

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

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

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

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

258 Penalized spline models of long-term exposure indicated

259 ghted linear regression analysis and a novel penalized spline-based semiparametric model with contour

260 Penalized splines indicated that MDD and PTB rates decre

261 d participant-specific random intercepts and penalized splines on gestational age.

262 We used penalized splines to assess potential nonlinear associat

263 lyzed using generalized additive models with penalized splines to capture both linear and nonlinear a

264 Penalized splines were also fit to estimate the function

265 Penalized splines were implemented to explore possible n

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

267 r developmental patterns were examined using penalized splines within a generalized additive model.

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

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

270 CBF evolution with development as modeled by penalized splines.

271 uated using generalized additive models with penalized splines.

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

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

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

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

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

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

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

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

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

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

282 A) approach is a promising one that seeks to penalize the canonical variables for producing sparse la

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

284 lemma, participants had to decide whether to penalize the defection of a third player who had exploit

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

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

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

288 reward algorithms for early predictions and penalize them for late or missed predictions and for fal

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

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

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

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

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

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

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

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

297 e a clustering similarity measure called Lag Penalized Weighted Correlation (LPWC) to group pairs of

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

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

300 ecruited to share their genetic data are not penalized with regard to life, disability and long-term