SWEET: a single-sample network inference method for deciphering individual features in disease

Recently, extracting inherent biological system information (e.g. cellular networks) from genome-wide expression profiles for developing personalized diagnostic and therapeutic strategies has become increasingly important. However, accurately constructing single-sample networks (SINs) to capture ind...

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Detalles Bibliográficos
Autores principales: Chen, Hsin-Hua, Hsueh, Chun-Wei, Lee, Chia-Hwa, Hao, Ting-Yi, Tu, Tzu-Ying, Chang, Lan-Yun, Lee, Jih-Chin, Lin, Chun-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025435/
https://www.ncbi.nlm.nih.gov/pubmed/36719112
http://dx.doi.org/10.1093/bib/bbad032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025435/
https://www.ncbi.nlm.nih.gov/pubmed/36719112
http://dx.doi.org/10.1093/bib/bbad032

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