Computational Method for k-Distance Limited Minimum Feedback Vertex Set and Its Application to Biological Networks
Learning novel SARS-CoV-2 lineages from wastewater sequencing data
A machine learning approach to predict gene expression levels based on stochastic simulation
Deep Learning captures the effect of epistasis in multifactorial diseases
INTERGEN: a computational package applied to large-scale animal and plant genetic analysis
GoiStrat - Gene-of-interest-based sample stratification for the evaluation of functional differences
Causal Models and Prediction in Cell Line Perturbation Experiments
CausNet-partial : `Partial Generational Orderings' based search for optimal sparse Bayesian networks via dynamic programming with parent set constraints
Protein Function Prediction Through Multi-view Multi-label Latent Tensor Reconstruction
Ensemble Learning Method for Predicting Protein Submitochondrial Localization by Multi-type Feature Fusion