Results 271 to 280 of about 3,727,733 (308)

The PI3Kδ inhibitor roginolisib (IOA‐244) preserves T‐cell function and activity

Molecular Oncology, EarlyView.
Identification of novel PI3K inhibitors with limited immune‐related adverse effects is highly sought after. We found that roginolisib and idelalisib inhibit chronic lymphocytic leukemia (CLL) cells and Treg suppressive functions to similar extents, but roginolisib affects cytotoxic T‐cell function and promotion of pro‐inflammatory T helper subsets to a
Elise Solli, Alessio Bevilacqua, Mathias Wenes, Denis Migliorini, Lars van der Veen, Sigrid S Skånland, Giusy Di Conza, Kjetil Taskén   +7 more
wiley   +1 more source

LASSO-type instrumental variable selection methods with an application to Mendelian randomization. [PDF]

Stat Methods Med Res
Qasim M, Månsson K, Balakrishnan N.
europepmc   +1 more source

Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer

Molecular Oncology, EarlyView.
PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta, Yang Song, Madeleine Ndahayo, Anirudh Saxena, Theresa Guo, Dylan Z. Kelley, Jessica Gore, Andrew Hennigan, Alexa Anderson, John C. Papadimitriou, Daria A. Gaykalova   +10 more
wiley   +1 more source

The spike-and-slab quantile LASSO for robust variable selection in cancer genomics studies. [PDF]

Stat Med
Liu Y, Ren J, Ma S, Wu C.
europepmc   +1 more source

Variable selection when estimating effects in external target populations. [PDF]

Am J Epidemiol
Webster-Clark M, Ross RK, Keil AP, Platt RW.   +3 more
europepmc   +1 more source

Variable Selection Using Bayesian Additive Regression Trees. [PDF]

Stat Sci
Luo C, Daniels MJ.
europepmc   +1 more source

Variable selection in modelling clustered data via within-cluster resampling. [PDF]

Can J Stat
Ye S, Yu T, Caroff DA, Huang SS, Zhang B, Wang R.   +5 more
europepmc   +1 more source

Flexible variable selection in the presence of missing data. [PDF]

Int J Biostat
Williamson BD, Huang Y.
europepmc   +1 more source

Gene Selection of Methionine-Dependent Melanoma and Independent Melanoma by Variable Selection Using Tensor Decomposition. [PDF]

Genes (Basel)
Kobayashi K, Taguchi YH.
europepmc   +1 more source