GeneWalk identifies relevant gene functions for a biological context using network representation learning
A bottleneck in high-throughput functional genomics experiments is identifying the most
important genes and their relevant functions from a list of gene hits. Gene Ontology (GO) …
important genes and their relevant functions from a list of gene hits. Gene Ontology (GO) …
A systems approach to interrogate gene expression patterns in African American men presenting with clinically localized prostate cancer
G Hardiman, SJ Savage, ES Hazard, WA da Silveira… - Cancers, 2021 - mdpi.com
Simple Summary Men of African origin have a 2–3 times greater chance of developing
prostate cancer than those of European origin, and of patients that are diagnosed with the …
prostate cancer than those of European origin, and of patients that are diagnosed with the …
Pathway crosstalk perturbation network modeling for identification of connectivity changes induced by diabetic neuropathy and pioglitazone
G de Anda-Jáuregui, K Guo, BA McGregor… - BMC systems …, 2019 - Springer
Background Aggregation of high-throughput biological data using pathway-based
approaches is useful to associate molecular results to functional features related to the …
approaches is useful to associate molecular results to functional features related to the …
Interplay between micrornas and targeted genes in cellular homeostasis of adult zebrafish (Danio rerio)
Background: Cellular homeostasis is regulated by the intricate interplay between a plethora
of signaling pathways and “energetic sensors” in organs. In order to maintain energy …
of signaling pathways and “energetic sensors” in organs. In order to maintain energy …
A novel joint gene set analysis framework improves identification of enriched pathways in cross disease transcriptomic analysis
Motivation: Gene set enrichment analysis is a widely accepted expression analysis tool
which aims at detecting coordinated expression change within a pre-defined gene sets …
which aims at detecting coordinated expression change within a pre-defined gene sets …
We're All in This Together: Learning Interpretable Models of Associations Between Multi-Omics Data
T Eicher - 2023 - search.proquest.com
In many biomedical contexts, multiple types of BDMs (eg, metabolites, genes, proteins,
chromatin states, and DNA methylation sites) associate with one another directly or indirectly …
chromatin states, and DNA methylation sites) associate with one another directly or indirectly …
[PDF][PDF] Genomic Big Data Regression Analysis
A Tomoiaga, J Farelly, S Nakamura - American Journal of Advanced …, 2018 - ibii-us.org
DNA analysis is now a data intensive discipline. New technology has transformed
biomedical research by making a plethora of molecular data available at reduced costs and …
biomedical research by making a plethora of molecular data available at reduced costs and …