论文信息 - Classifying Data Considering Pairs of Patients in a Relational Space - 字舞流文

Classifying Data Considering Pairs of Patients in a Relational Space

In this paper, we demonstrate the use of relational space to classify microarray gene expression data. We also show that the transformation of real valued data to binary data is able to produce better class separation with fewer genes.

Maria Petrou | Siti Mariam Shafie

[1] S. Dudoit,et al. Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data , 2002 .

[2] John Quackenbush,et al. Computational genetics: Computational analysis of microarray data , 2001, Nature Reviews Genetics.

[3] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.

[4] Maria Petrou,et al. Relational space classification for malaria diagnosis , 2011, Pattern Analysis and Applications.

[5] Yudong D. He,et al. Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.

[6] U. Alon,et al. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[7] Nello Cristianini,et al. Support vector machine classification and validation of cancer tissue samples using microarray expression data , 2000, Bioinform..