Cargando…
Multi-target drug repositioning by bipartite block-wise sparse multi-task learning
BACKGROUND: Finding potential drug targets is a crucial step in drug discovery and development. Recently, resources such as the Library of Integrated Network-Based Cellular Signatures (LINCS) L1000 database provide gene expression profiles induced by various chemical and genetic perturbations and th...
Autores principales: | Li, Limin, He, Xiao, Borgwardt, Karsten |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998894/ https://www.ncbi.nlm.nih.gov/pubmed/29745839 http://dx.doi.org/10.1186/s12918-018-0569-7 |
Ejemplares similares
-
Multi-task fused sparse learning for mild cognitive impairment identification
por: Yang, Peng, et al.
Publicado: (2018) -
Multi-Task Learning for Compositional Data via Sparse Network Lasso
por: Okazaki, Akira, et al.
Publicado: (2022) -
Drug repositioning via matrix completion with multi‐view side information
por: Hao, Yunda, et al.
Publicado: (2019) -
A computational multi-targeting approach for drug repositioning for psoriasis treatment
por: Ibezim, Akachukwu, et al.
Publicado: (2021) -
Block‐wise Exploration of Molecular Descriptors with Multi‐block Orthogonal Component Analysis (MOCA)
por: Schmidt, Sebastian, et al.
Publicado: (2021)