Low Rank Variation Dictionary and Inverse Projection Group Sparse Representation Model for Breast Tumor Classification

no code implementations • 10 Mar 2018 • Xiaohui Yang, Xiaoying Jiang, WenMing Wu, Juan Zhang, Dan Long, Funa Zhou, Yiming Xu

The proposed low-rank variation dictionary tackles tumor recognition problem from the viewpoint of detecting and using variations in gene expression profiles of normal and patients, rather than directly using these samples.

General Classification

An Integrated Inverse Space Sparse Representation Framework for Tumor Classification

no code implementations • 9 Mar 2018 • Xiaohui Yang, Wen-Ming Wu, Yun-Mei Chen, Xianqi Li, Juan Zhang, Dan Long, Li-Jun Yang

Extensive experiments on six public microarray gene expression datasets show the integrated ISSRC-based tumor classification framework is superior to classical and state-of-the-art methods.

Classification General Classification +2