TY - JOUR AU - Yang, Jack Y. AU - Li, Guo-Zheng AU - Meng, Hao-Hua AU - Yang, Mary Qu AU - Deng, Youping PY - 2008 DA - 2008/03/20 TI - Improving prediction accuracy of tumor classification by reusing genes discarded during gene selection JO - BMC Genomics SP - S3 VL - 9 IS - 1 AB - Since the high dimensionality of gene expression microarray data sets degrades the generalization performance of classifiers, feature selection, which selects relevant features and discards irrelevant and redundant features, has been widely used in the bioinformatics field. Multi-task learning is a novel technique to improve prediction accuracy of tumor classification by using information contained in such discarded redundant features, but which features should be discarded or used as input or output remains an open issue. SN - 1471-2164 UR - https://doi.org/10.1186/1471-2164-9-S1-S3 DO - 10.1186/1471-2164-9-S1-S3 ID - Yang2008 ER -