Network- and enrichment-based inference of phenotypes and targets from large-scale disease maps

Complex diseases are inherently multifaceted, and the associated data are often heterogeneous, making linking interactions across genes, metabolites, RNA, proteins, cellular functions, and clinically relevant phenotypes a high-priority challenge. Disease maps have emerged as knowledge bases that cap...

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Detalles Bibliográficos
Autores principales: Hoch, Matti, Smita, Suchi, Cesnulevicius, Konstantin, Lescheid, David, Schultz, Myron, Wolkenhauer, Olaf, Gupta, Shailendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9042890/
https://www.ncbi.nlm.nih.gov/pubmed/35473910
http://dx.doi.org/10.1038/s41540-022-00222-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9042890/
https://www.ncbi.nlm.nih.gov/pubmed/35473910
http://dx.doi.org/10.1038/s41540-022-00222-z

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