A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in ...

Metabolic and regulatory networks may be expanded by coupling high-throughput phenotyping and gene expression data with the predictions of a computational model. (Reprinted with permission, Nature, ...

View software available in the Integrated Systems Biology and AI — Tailored Pharmacology and Precision Medicine Lab led by Hu ...

Researchers at University of Tsukuba have developed "tomoseqr"—a new software tool that enables easy estimation of the three-dimensional (3D) spatial distribution of gene expression. Tomoseqr is free ...

In the default model, the graph representing each individual enhancer can be arbitrarily complicated. To show how the ABC Score formula can arise from the default model, we need to impose the further ...

This paper explores the potential of mitochondrial-associated programmed-cell-death (mtPCD) patterns as biomarkers for predicting the prognosis of non-small-cell lung cancer (NSCLC). NSCLC is the most ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...