MIrExpress: A Database for Gene Coexpression Correlation in Immune Cells Based on Mutual Information and Pearson Correlation
Most current gene coexpression databases support the analysis for linear correlation of gene pairs, but not nonlinear correlation of them, which hinders precisely evaluating the gene-gene coexpression strengths. Here, we report a new database, MIrExpress, which takes advantage of the information the...
Main Authors: | Luman Wang, Qiaochu Mo, Jianxin Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2015-01-01
|
Series: | Journal of Immunology Research |
Online Access: | http://dx.doi.org/10.1155/2015/140819 |
Similar Items
-
A null model for Pearson coexpression networks.
by: Andrea Gobbi, et al.
Published: (2015-01-01) -
miRExpress: Analyzing high-throughput sequencing data for profiling microRNA expression
by: Lin Kuan-Yu, et al.
Published: (2009-10-01) -
The Local Pearson Correlation Function
by: Yang, Chuo Ju, et al.
Published: (2016) -
The Generalized Local Pearson Correlation Function
by: Chen, Chun-Cheng, et al.
Published: (2017) -
Is Pearson Sample Correlation Coefficient Always Feasible To Test For Correlations ?
by: Lee, Wan Yi, et al.
Published: (2016)