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Carnegie Mellon Algorithm Characterizes How Cancer Genomes Get Scrambled
Carnegie Mellon Algorithm Characterizes Cancer Genomes
2016/8/1
A new method for analyzing the scrambled genomes of cancer cells allows researchers, for the first time, to simultaneously identify two different types of genetic changes associated with cancers and t...
Prediction of prostate cancer using decision tree algorithm
Prostatic neoplasms prostate-specific antigen decision trees
2010/10/14
Serum Prostate Specific Antigen (PSA) level is used for prediction of cancer, but this approach suffers from weak sensitivity and specificity. We applied binary-split decision tree (DT) algorithm to p...