58 citations · 113 across the 11 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
Network-based identification of disease genes in expression data: the GeneSurrounder method
Sahil D. Shah, Rosemary Braun
The advent of high--throughput transcription profiling technologies has enabled identification of genes and pathways associated with disease, providing new avenues for precision me…
Network Methods for Pathway Analysis of Genomic Data
Rosemary Braun, Sahil Shah
Rapid advances in high-throughput technologies have led to considerable interest in analyzing genome-scale data in the context of biological pathways, with the goal of identifying…
Pathways of Distinction Analysis: a new technique for multi-SNP analysis of GWAS data
Rosemary Braun, Kenneth Buetow
Genome-wide association studies have become increasingly common due to advances in technology and have permitted the identification of differences in single nucleotide polymorphism…
Partition Decoupling for Multi-gene Analysis of Gene Expression Profiling Data
Rosemary Braun, Gregory Leibon, Scott Pauls +1
We present the extention and application of a new unsupervised statistical learning technique--the Partition Decoupling Method--to gene expression data. Because it has the ability…