Results 61 to 70 of about 4,611 (130)

Multi‐Omics and Machine Learning‐Uncovered FLT1‐Mediated Epithelial‐Endothelial Crosstalk in Cellular Senescence Driving Clear Cell Renal Cell Carcinoma Malignancy

The FASEB Journal, Volume 40, Issue 8, 30 April 2026.
This study integrates multi‐omics data and machine learning to reveal FLT1 as a central mediator of epithelial‐endothelial crosstalk in clear cell renal cell carcinoma (ccRCC). We demonstrate that FLT1‐associated signaling promotes a senescence‐enriched tumor microenvironment, driving malignant progression. Spatial and single‐cell analyses confirm FLT1
Mouyuan Sun, Huchao Mao, Yaxian Luo, Mei Yang, Zhixu He, Shuangyang Li, Zhichao Liu, Lianjie Peng, Quanjie Zhang, Jingyu Zhang, Yan Zhang   +10 more
wiley   +1 more source

Sparse least trimmed squares regression. [PDF]

Sparse model estimation is a topic of high importance in modern data analysis due to the increasing availability of data sets with a large number of variables. Another common problem in applied statistics is the presence of outliers in the data.
Alfons, Andreas, Croux, Christophe, Gelper, Sarah   +2 more
core  

On the statistical interpretation of ultrasound‐based models predicting skeletal muscle fat infiltration

Experimental Physiology, Volume 111, Issue 5, Page 2729-2730, 1 May 2026.
Saul Martin‐Rodriguez
wiley   +1 more source

Hybrid models of sparse and robust regression to solve heterogeneity problem in black pepper big data. [PDF]

Sci Rep
Kumar PR, Ibidoja OJ, Ali MKM, Ishak WRW.   +3 more
europepmc   +1 more source

A network-guided penalized regression with application to proteomics data. [PDF]

Bioinform Adv
Ahn S, Oh EJ.
europepmc   +1 more source

Bayesian variable selection for genome-wide association study of grain traits in rice. [PDF]

PLoS One
Basu R, Mukhopadhyay S, Adhikari K.
europepmc   +1 more source

Benchmarking Sparse Variable Selection Methods for Genomic Data Analyses. [PDF]

Stat Med
Kollipara HSS, Maiti T, Chakraborty S, Sinha S.   +3 more
europepmc   +1 more source

Efficient Post-Shrinkage Estimation Strategies in High-Dimensional Cox's Proportional Hazards Models. [PDF]

Entropy (Basel)
Ahmed SE, Arabi Belaghi R, Hussein AA.
europepmc   +1 more source

Scalable geometric learning with correlation-based functional brain networks. [PDF]

Sci Rep
You K, Lee Y, Park HJ.
europepmc   +1 more source

A bias-reduced estimator for generalized Poisson regression with application to carbon dioxide emission in Canada. [PDF]

Sci Rep
Alghamdi FM, Gemeay AM, Abd-Elmougod GA, Almetwally EM, El-Qurashi MA, Mekiso GT, Hammad AT.   +6 more
europepmc   +1 more source