标题
Part mutual information for quantifying direct associations in networks
作者
关键词
-
出版物
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 113, Issue 18, Pages 5130-5135
出版商
Proceedings of the National Academy of Sciences
发表日期
2016-04-19
DOI
10.1073/pnas.1522586113
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Partial distance correlation with methods for dissimilarities
- (2014) Gábor J. Székely et al. ANNALS OF STATISTICS
- Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks
- (2014) Xiujun Zhang et al. NUCLEIC ACIDS RESEARCH
- Gene coexpression measures in large heterogeneous samples using count statistics
- (2014) Y. X. Rachel Wang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Equitability, mutual information, and the maximal information coefficient
- (2014) Justin B. Kinney et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Quantifying causal influences
- (2013) Dominik Janzing et al. ANNALS OF STATISTICS
- Network cleanup
- (2013) Babak Alipanahi et al. NATURE BIOTECHNOLOGY
- Network link prediction by global silencing of indirect correlations
- (2013) Baruch Barzel et al. NATURE BIOTECHNOLOGY
- Network deconvolution as a general method to distinguish direct dependencies in networks
- (2013) Soheil Feizi et al. NATURE BIOTECHNOLOGY
- GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods
- (2011) Thomas Schaffter et al. BIOINFORMATICS
- Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information
- (2011) Xiujun Zhang et al. BIOINFORMATICS
- Detecting Novel Associations in Large Data Sets
- (2011) D. N. Reshef et al. SCIENCE
- Discussion of: Brownian distance covariance
- (2010) Peter J. Bickel et al. Annals of Applied Statistics
- MISS: a non-linear methodology based on mutual information for genetic association studies in both population and sib-pairs analysis
- (2010) Helena Brunel et al. BIOINFORMATICS
- Revealing strengths and weaknesses of methods for gene network inference
- (2010) D. Marbach et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search