Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Life Sciences
Proteomic Characterization Of Her-2/Neu-Overexpressing Breast Cancer Cells, Hexin Chen, G. Pimienta, Y. Gu, X. Sun, Jianjun Hu, M.-S. Kim, R. Chaerkady, M. Gucek, R. Cole, S. Sukumar, A. Pandey
Proteomic Characterization Of Her-2/Neu-Overexpressing Breast Cancer Cells, Hexin Chen, G. Pimienta, Y. Gu, X. Sun, Jianjun Hu, M.-S. Kim, R. Chaerkady, M. Gucek, R. Cole, S. Sukumar, A. Pandey
Jianjun Hu
No abstract provided.
Density Based Pruning For Identification Of Differentially Expressed Genes From Microarray Data, Jianjun Hu, J. Xu
Density Based Pruning For Identification Of Differentially Expressed Genes From Microarray Data, Jianjun Hu, J. Xu
Jianjun Hu
Motivation
Identification of differentially expressed genes from microarray datasets is one of the most important analyses for microarray data mining. Popular algorithms such as statistical t-test rank genes based on a single statistics. The false positive rate of these methods can be improved by considering other features of differentially expressed genes.
Results
We proposed a pattern recognition strategy for identifying differentially expressed genes. Genes are mapped to a two dimension feature space composed of average difference of gene expression and average expression levels. A density based pruning algorithm (DB Pruning) is developed to screen out potential differentially expressed genes usually …