maPredictDSC is a standard Bioconductor style R package meant to assist in developing prediction models from raw microarray data.
To use the maPredictDSC package, first download and install the data package LungCancerACvsSCCGEO. This data package contains raw gene expression data files that can be used to illustrate the functionality of the maPredictDSC package.
Then download and install the maPredictDSC package.
The method is described in detail in the reference below:
- Tarca AL, Lauria M, Unger M, Bilal E, Boue S, Dey KK, Hoeng J, Koeppl H, Martin F, Meyer P, Nandy P, Norel R, Peitsch M, Rice JJ, Romero R, Stolovitzky G, Talikka M, Xiang Y, Zechner C, and IMPROVER DSC Collaborators, Strengths and Weaknesses of Microarray-based Phenotype Prediction: Lessons Learned from the IMPROVER Diagnostic Signature Challenge, Bioinformatics, doi: 10.1093/bioinformatics/btt492, 2013.
- Tarca AL, Than NG, Romero R. Methodological approach from the Best Overall Team in the IMPROVER Diagnostic Signature Challenge. Systems Biomedicine, 1:4, 111, 2013.