This paper presents a general half quadratic framework for simultaneous analysis of the whole array com-

parative genomic hybridization (aCGH) profiles in a data set. The proposed framework accommodates

different ...

This paper presents a new method for analyzing Array comparative genomic hybridization (aCGH) data

based on Correntropy. A new formulation based on low-rank aCGH data and Correntropy is proposed and

its ...

In most machine learning problems, the labeling of the training data is an expensive or even impossible task.Crowdsourcing-based learning uses uncertain labels from many non-expert annotators instead of one reference ...

One of the central challenges in cancer research is identifying significant genes among thousands of others on a microarray. Since preventing outbreak and progression of cancer is the ultimate goal in bioinformatics and ...