Results 221 to 230 of about 3,737,276 (277)

Inference of Correlations Among Testlet Effects: A Latent Variable Selection Method. [PDF]

Appl Psychol Meas
Xu X, Guo J, Xin T.
europepmc   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

The Improved EMS Algorithm for Latent Variable Selection in M3PL Model. [PDF]

Appl Psychol Meas
Shang L, Xu PF, Shan N, Tang ML, Zheng QZ.   +4 more
europepmc   +1 more source

SCARS-LOGISTIC: A novel variable selection approach for binary classification model to identify the significant determinants of sexually transmitted infections. [PDF]

PLoS One
Sadiq M, Alsadhan NA, Shah R, Younas S, Rasheed Z.   +4 more
europepmc   +1 more source

I-SVVS: integrative stochastic variational variable selection to explore joint patterns of multi-omics microbiome data. [PDF]

Brief Bioinform
Dang T, Fuji Y, Kumaishi K, Usui E, Kobori S, Sato T, Narukawa M, Toda Y, Sakurai K, Yamasaki Y, Tsujimoto H, Hirai MY, Ichihashi Y, Iwata H.   +13 more
europepmc   +1 more source

Multivariate Bayesian variable selection for multi-trait genetic fine mapping. [PDF]

J R Stat Soc Ser C Appl Stat
Canida T, Ke H, Chen S, Ye Z, Ma T.
europepmc   +1 more source

Research on optimization of temperature sensitive points of machine tool thermal error based on independent variable selection criteria. [PDF]

Sci Rep
Li H, Liu J, Li Y.
europepmc   +1 more source