Adaptive multiple kernel clustering using low-rank representation.

Ambiguities in neural-network-based hyperedge prediction.

FLUXestimator: a webserver for predicting metabolic flux and variations using transcriptomics data.

PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning.

Response to 'Letter to the Editor: on the stability and internal consistency of component-wise sparse mixture regression based clustering', Zhang <i>et al.</i>.

Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks.

Denoising individual bias for a fairer binary submatrix detection.

Supervised clustering of high dimensional data using regularized mixture modeling.

A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression.

QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data.

Warburg Effects in Cancer and Normal Proliferating Cells: Two Tales of the Same Name.

Robust tests for gene-environment interaction in case-control and case-only designs.

MEBF: a fast and efficient Boolean matrix factorization method.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival.

M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing data.

MRHCA: a nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network.

Transcription regulation by DNA methylation under stressful conditions in human cancer.

The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning.

Stresses drive a cancer's initiation, progression and metastasis: Critical comments on the book "Cancer Bioinformatics".

Population dynamics inside cancer biomass driven by repeated hypoxia-reoxygenation cycles.