Integer programming models and algorithms for molecular classification of cancer from microarray data

摘要: Novel, high-throughput technologies are challenging the core of algorithmic methods available in Computer Science. Microarray give Life Sciences researchers opportunity to simultaneously measure thousands gene expression levels under different conditions or coming from cell lines. With appropriate data mining models and algorithms, this would lead a systematic exploration molecular classification cancer, just one among many other exciting applications. The aim paper is present unified mathematical formalization for feature selection problems investigate their performance cancer cell-lines. We also some results using NCI60 dataset.