Multilevel heterogeneous omics data integration with kernel fusion
Sign Up to like & getrecommendations! Published in 2020 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bby115
Abstract: High-throughput omics data are generated almost with no limit nowadays. It becomes increasingly important to integrate different omics data types to disentangle the molecular machinery of complex diseases with the hope for better disease prevention… read more here.
Keywords: data types; kernel; omics data; multilevel heterogeneous ... See more keywords
Discovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2019.00020
Abstract: Discovering cancer subtypes is useful for guiding clinical treatment of multiple cancers. Progressive profile technologies for tissue have accumulated diverse types of data. Based on these types of expression data, various computational methods have been… read more here.
Keywords: fusion; profile; discovering cancer; cancer ... See more keywords