CORUS: a blockchain-based trustworthy evaluation system for efficacy of healthcare remedies

Deconvoluting essential gene signatures for cancer growth from genomic expressions in compound-treated cells

Deep Learning Classification of Physical Activity with Improved Time Resolution for Children

Discovering health benefits of phytochemicals with integrated analysis of molecular network, chemical properties and ethnopharmacological evidence

Identification of common coexpression modules based on quantitative network comparison

In silico profiling of systemic effects of drugs to predict unexpected interactions

Petri net-based prediction of therapeutic targets that recover abnormally phosphorylated proteins in muscle atrophy

Phenotype-oriented network analysis for discovering pharmacological effects of natural compounds

Predicting the Absorption Potential of Chemical Compounds through a Deep-Learning Approach

Topological motifs populates complex networks through grouped attachments