De novo individualized disease modules reveal the synthetic penetrance of genes and inform personalized treatment regimens

Current understandings of individual disease etiology and therapeutics are limited despite great need. To fill the gap, we propose a novel computational pipeline that collects potent disease gene cooperative pathways to envision individualized disease etiology and therapies. Our algorithm constructs...

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Detalles Bibliográficos
Autores principales: Weiskittel, Taylor M., Ung, Choong Y., Correia, Cristina, Zhang, Cheng, Li, Hu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2022
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744682/
https://www.ncbi.nlm.nih.gov/pubmed/34876496
http://dx.doi.org/10.1101/gr.275889.121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744682/
https://www.ncbi.nlm.nih.gov/pubmed/34876496
http://dx.doi.org/10.1101/gr.275889.121

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