Cargando…
Higher-order genetic interaction discovery with network-based biological priors
MOTIVATION: Complex phenotypes, such as many common diseases and morphological traits, are controlled by multiple genetic factors, namely genetic mutations and genes, and are influenced by environmental conditions. Deciphering the genetics underlying such traits requires a systemic approach, where m...
Autores principales: | Pellizzoni, Paolo, Muzio, Giulia, Borgwardt, Karsten |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311320/ https://www.ncbi.nlm.nih.gov/pubmed/37387173 http://dx.doi.org/10.1093/bioinformatics/btad273 |
Ejemplares similares
-
Prediction of cancer driver genes through network-based moment propagation of mutation scores
por: Gumpinger, Anja C, et al.
Publicado: (2020) -
GLIDE: combining local methods and diffusion state embeddings to predict missing interactions in biological networks
por: Devkota, Kapil, et al.
Publicado: (2020) -
Gemini: memory-efficient integration of hundreds of gene networks with high-order pooling
por: Woicik, Addie, et al.
Publicado: (2023) -
Supervised biological network alignment with graph neural networks
por: Ding, Kerr, et al.
Publicado: (2023) -
Characterizing alternative splicing effects on protein interaction networks with LINDA
por: Gjerga, Enio, et al.
Publicado: (2023)