4 papers
Deep learning-based virtual perturbation reveals increasing heterogeneity of gene regulatory responses with aging
Yongjian He, Julia Hanna Haddad Guez, Xu-Wen Wang +1
A central hypothesis in aging biology proposes that the gradual accumulation of stochastic molecular damage drives transcriptional deregulation (TD), ultimately leading to function…
Community-Centers Identify Robust Biomarkers in High-Dimensional, Low-Sample-Size Gene Expression Data
Ruiqi Li, Te Bai, Renaud Lambiotte +4
High-dimensional, low-sample-size bulk gene expression data poses a fundamental challenge in transcriptomics, which typically includes tens of thousands of genes but relatively few…
The mechanistic origin of branching-driven nucleation in abrupt phase transitions
Leyang Xue, Shengling Gao, Bnaya Gross +5
Phase transitions are the macroscopic manifestation of microscopic processes that drive a system towards a new state. The detailed evolution of these processes, particularly in abr…
Predicting cell-specific gene expression profile and knockout impact through deep learning
Yongjian He, Vered Klein, Orr Levy +1
Gene expression data is essential for understanding how genes are regulated and interact within biological systems, providing insights into disease pathways and potential therapeut…