Smart software for assisting oncology and cancer research
نویسندگان
چکیده
Increased multi-level omics data have enabled data-driven studies on cancer drugs, targets and biomarkers. Thus, it is necessary to develop comprehensive tools for oncologists scientists carry out extensive mining without computational expertise. Mutations, gene/protein expression, patient survival, immune score (tumor infiltrating cells), drug screening RNAi (shRNA CRISPR) samples cell lines, were integrated from TCGA, GDSC, CCLE, NCI, DepMap, etc. into Q-omics software. Analyses are guided by smart systems the quick finding of significant associations between pairs. Furthermore, unique consensus scoring methods based multiple statistical tests using varied sample (or lineage) selection, enriches robust cross-associated pairs in hit list successful experimental validation. provides simple powerful all areas oncology research. The latest version software available at http://qomics.sookmyung.ac.kr. No conflict interest.
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ژورنال
عنوان ژورنال: European Journal of Cancer
سال: 2022
ISSN: ['0959-8049', '1879-0852']
DOI: https://doi.org/10.1016/s0959-8049(22)01054-1