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MKL-GRNI: A parallel multiple kernel learning approach for supervised inference of large-scale gene regulatory networks

High throughput multi-omics data generation coupled with heterogeneous genomic data fusion are defining new ways to build computational inference models. These models are scalable and can support very large genome sizes with the added advantage of exploiting additional biological knowledge from the...

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Detalles Bibliográficos
Autores principales: Wani, Nisar, Raza, Khalid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924726/
https://www.ncbi.nlm.nih.gov/pubmed/33817013
http://dx.doi.org/10.7717/peerj-cs.363