A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
The ongoing cancer research requires finding patterns and associations among genetic, cellular and molecular features residing in isolated and disparate repositories. The discovery of complex biological associations from these independent repositories will help advanced analysis and hypothesis generation over a network of coherent datasets. In this paper we provide a short overview of three types of cancer genomics datasets that are transformed from raw formats (csv, tsv, relational, etc.) intodblp:conf/semweb/ZehraJKHdS19 fatcat:olnj43ullrdbrosle3wejshtfy