Cargando…
Predicting multicellular function through multi-layer tissue networks
MOTIVATION: Understanding functions of proteins in specific human tissues is essential for insights into disease diagnostics and therapeutics, yet prediction of tissue-specific cellular function remains a critical challenge for biomedicine. RESULTS: Here, we present OhmNet, a hierarchy-aware unsuper...
Autores principales: | Zitnik, Marinka, Leskovec, Jure |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870717/ https://www.ncbi.nlm.nih.gov/pubmed/28881986 http://dx.doi.org/10.1093/bioinformatics/btx252 |
Ejemplares similares
-
When loss-of-function is loss of function: assessing mutational signatures and impact of loss-of-function genetic variants
por: Pagel, Kymberleigh A, et al.
Publicado: (2017) -
Association testing of bisulfite-sequencing methylation data via a Laplace approximation
por: Weissbrod, Omer, et al.
Publicado: (2017) -
Direct AUC optimization of regulatory motifs
por: Zhu, Lin, et al.
Publicado: (2017) -
CATS (Coordinates of Atoms by Taylor Series): protein design with backbone flexibility in all locally feasible directions
por: Hallen, Mark A, et al.
Publicado: (2017) -
Modelling haplotypes with respect to reference cohort variation graphs
por: Rosen, Yohei, et al.
Publicado: (2017)