Inferring Protein Modulation from Gene Expression Data Using Conditional Mutual Information

PLoS ONE ◽

10.1371/journal.pone.0109569 ◽

2014 ◽

Vol 9 (10) ◽

pp. e109569 ◽

Author(s):

Federico M. Giorgi ◽

Gonzalo Lopez ◽

Jung H. Woo ◽

Brygida Bisikirska ◽

Andrea Califano ◽

...

Keyword(s):

Gene Expression ◽

Mutual Information ◽

Gene Expression Data ◽

Expression Data ◽

Conditional Mutual Information

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Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information

Bioinformatics ◽

10.1093/bioinformatics/btr626 ◽

2011 ◽

Vol 28 (1) ◽

pp. 98-104 ◽

Author(s):

Xiujun Zhang ◽

Xing-Ming Zhao ◽

Kun He ◽

Le Lu ◽

Yongwei Cao ◽

...

Keyword(s):

Gene Expression ◽

Mutual Information ◽

Gene Expression Data ◽

Gene Regulatory Networks ◽

Regulatory Networks ◽

Expression Data ◽

Conditional Mutual Information ◽

Gene Regulatory

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Correction: Inferring Protein Modulation from Gene Expression Data Using Conditional Mutual Information

PLoS ONE ◽

10.1371/journal.pone.0163402 ◽

2016 ◽

Vol 11 (9) ◽

pp. e0163402

Author(s):

Federico M. Giorgi ◽

Gonzalo Lopez ◽

Jung H. Woo ◽

Brygida Bisikirska ◽

Andrea Califano ◽

...

Keyword(s):

Gene Expression ◽

Mutual Information ◽

Gene Expression Data ◽

Expression Data ◽

Conditional Mutual Information

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Extending Biological Pathways by Utilizing Conditional Mutual Information Extracted from RNA-SEQ Gene Expression Data

6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6) - IFMBE Proceedings ◽

10.1007/978-981-10-4361-1_25 ◽

2017 ◽

pp. 151-156 ◽

Author(s):

Tham H. Hoang ◽

Pujan Joshi ◽

Seung-Hyun Hong ◽

Dong-Guk Shin

Keyword(s):

Gene Expression ◽

Mutual Information ◽

Gene Expression Data ◽

Biological Pathways ◽

Expression Data ◽

Rna Seq ◽

Conditional Mutual Information

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Ensemble Feature Selection from Cancer Gene Expression Data using Mutual Information and Recursive Feature Elimination

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC) ◽

10.1109/icaecc50550.2020.9339518 ◽

2020 ◽

Author(s):

Nimrita Koul ◽

Sunilkumar S Manvi

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Mutual Information ◽

Gene Expression Data ◽

Recursive Feature Elimination ◽

Cancer Gene ◽

Expression Data

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Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls.2018.8515927 ◽

2018 ◽

Author(s):

Qun-Xiong Zhu ◽

Yuan Fan ◽

Yan-Lin He ◽

Yuan Xu

Keyword(s):

Gene Expression ◽

Mutual Information ◽

Gene Expression Data ◽

Cancer Classification ◽

Expression Data

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Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual information

BMC Bioinformatics ◽

10.1186/1471-2105-9-467 ◽

2008 ◽

Vol 9 (1) ◽

pp. 467 ◽

Author(s):

Weijun Luo ◽

Kurt D Hankenson ◽

Peter J Woolf

Keyword(s):

Gene Expression ◽

Mutual Information ◽

Gene Expression Data ◽

High Throughput ◽

Regulatory Networks ◽

Expression Data ◽

Transcriptional Regulatory Networks ◽

Transcriptional Regulatory ◽

High Throughput Gene Expression

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Integration of mutual information and text mining methods for extracting gene-gene interactions from gene expression data

2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop ◽

10.1109/bibmw.2009.5332076 ◽

2009 ◽

Author(s):

David H. Millis ◽

Jeffrey L. Solka ◽

Lakshmi K. Matukumalli

Keyword(s):

Gene Expression ◽

Text Mining ◽

Mutual Information ◽

Gene Expression Data ◽

Gene Interactions ◽

Expression Data ◽

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Clustering Gene Expression Data by Mutual Information with Gene Function

Artificial Neural Networks — ICANN 2001 - Lecture Notes in Computer Science ◽

10.1007/3-540-44668-0_12 ◽

2001 ◽

pp. 81-87 ◽

Author(s):

Samuel Kaski ◽

Janne Sinkkonen ◽

Janne Nikkilä

Keyword(s):

Gene Expression ◽

Mutual Information ◽

Gene Expression Data ◽

Gene Function ◽

Expression Data

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Partial Mutual Information for Classification of Gene Expression Data by Learning Vector Quantization

Advances in Self-Organizing Maps and Learning Vector Quantization - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-07695-9_25 ◽

2014 ◽

pp. 259-269 ◽

Author(s):

Mandy Lange ◽

David Nebel ◽

Thomas Villmann

Keyword(s):

Gene Expression ◽

Mutual Information ◽

Vector Quantization ◽

Gene Expression Data ◽

Learning Vector Quantization ◽

Expression Data

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Gene Expression Data Classification Using Support Vector Machine and Mutual Information-based Gene Selection

Procedia Computer Science ◽

10.1016/j.procs.2015.03.178 ◽

2015 ◽

Vol 47 ◽

pp. 13-21 ◽

Author(s):

C. Devi Arockia Vanitha ◽

D. Devaraj ◽

M. Venkatesulu

Keyword(s):

Gene Expression ◽

Support Vector Machine ◽

Mutual Information ◽

Gene Expression Data ◽

Gene Selection ◽

Data Classification ◽

Support Vector ◽

Expression Data

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