activity
20172021
most citedIntegrative analysis reveals disrupted pathways regulated by microRNAs in cancer

38 citations · 46 across the 3 of their papers we have counts for

collaborators

5 papers

q-bio.QM2021

Stroke recovery phenotyping through network trajectory approaches and graph neural networks

Sanjukta Krishnagopal, Keith Lohse, Robynne Braun

Stroke is a leading cause of neurological injury characterized by impairments in multiple neurological domains including cognition, language, sensory and motor functions. Clinical…

q-bio.QM2018

Time-lagged Ordered Lasso for network inference

Phan Nguyen, Rosemary Braun

Accurate gene regulatory networks can be used to explain the emergence of different phenotypes, disease mechanisms, and other biological functions. Many methods have been proposed…

q-bio.GN2018

Single nucleotide polymorphisms that modulate microRNA regulation of gene expression in tumors

Gary Wilk, Rosemary Braun

Genome-wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) associated with trait diversity and disease susceptibility, yet the functional propert…

q-bio.GN201738 cited

Integrative analysis reveals disrupted pathways regulated by microRNAs in cancer

Gary Wilk, Rosemary Braun

MicroRNAs (miRNAs) are small endogenous regulatory molecules that modulate gene expression post-transcriptionally. Although differential expression of miRNAs have been implicated i…

q-bio.QM20178 cited

Semi-supervised network inference using simulated gene expression dynamics

Phan Nguyen, Rosemary Braun

Motivation: Inferring the structure of gene regulatory networks from high--throughput datasets remains an important and unsolved problem. Current methods are hampered by problems s…