Towards integrated oncogenic marker recognition through mutual information‐based statistically significant feature extraction: an association rule mining based study on cancer expression and methylation profiles
Saurav Mallik; Zhongming Zhao · 2017 · Quantitative 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)
Background Marker detection is an important task in complex disease studies. Here we provide an association rule mining (ARM) based approach for identifying integrated markers through mutual information (MI) based statistically significant…
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Metadata source: Crossref · DOI 10.1007/s40484-017-0119-0