Fold change based approach for identification of significant network markers in breast, lung and prostate cancer
Richa K. Makhijani; Shital A. Raut; Hemant J. Purohit · 2018 · IET Systems Biology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Cancer belongs to a class of highly aggressive diseases and a leading cause of death in the world. With more than 100 types of cancers, breast, lung and prostate cancer remain to be the most common types. To identify essential network…
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Metadata source: Crossref · DOI 10.1049/iet-syb.2018.0012