Browse our latest Computational and Systems Biology articles

Assessment of transfer entropy is useful for network analysis of cell signaling network providing information on the network topology and action points of genetic mutations and drug effect, thus will be applicable to molecular pharmacology and pathology.

Root causal genes correspond to the initial changes to gene expression that induce a diagnosis and can be reliably detected from bulk RNA-seq after determining a causal ordering from Perturb-seq.

The Pro-PRIME model demonstrates the ability to engineer VHH antibody with unprecedented alkali resistance and enhanced affinity, enabling industrial applications under extreme conditions previously unattainable with natural proteins.

The UA-dinucleotide ratio in UTRs is negatively correlated with RNA stability both in the massively parallel reporter assay and in vivo, and is prevalent in fast-turnover genes.

Inhibiting c-Jun N-terminal kinase exerts a cross-tissue therapeutic effect on metabolic dysfunction induced by sucrose overconsumption in rats.

A novel method for factorizing complex cellular trajectories into interpretable bifurcation processes enhances the understanding of cell fate determination through the identification of key biological determinants in scRNA-seq data.

Numerous related sample characteristics affect polygenic score performance, and incorporation of interaction effects increases both model and polygenic score performance.

Psychophysical experiments and computational modeling demonstrate the importance of transient, instead of sustained, channels for the integration of audiovisual signals.

CausalXtract is a computational tool to discover causal effects, beyond classical Granger and Schreiber causality approaches, from live-cell imaging data for a range of fundamental and translational research applications.

Morphological profiling allows accurate identification of cell types in dense iPSC-derived cultures, allowing its use for quality control and differentiation monitoring.