CaNDis: a web server for investigation of causal relationships between diseases, drugs and drug targets

MOTIVATION: Causal biological interaction networks represent cellular regulatory pathways. Their fusion with other biological data enables insights into disease mechanisms and novel opportunities for drug discovery. RESULTS: We developed Causal Network of Diseases (CaNDis), a web server for the expl...

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Detalles Bibliográficos
Autores principales: Škrlj, Blaž, Eržen, Nika, Lavrač, Nada, Kunej, Tanja, Konc, Janez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8098028/
https://www.ncbi.nlm.nih.gov/pubmed/32871004
http://dx.doi.org/10.1093/bioinformatics/btaa762

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8098028/
https://www.ncbi.nlm.nih.gov/pubmed/32871004
http://dx.doi.org/10.1093/bioinformatics/btaa762

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