Vijender Chaitankar

According to our database1, Vijender Chaitankar authored at least 10 papers between 2009 and 2012.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2012
sCoIn: A scoring algorithm based on complex interactions for reverse engineering regulatory networks.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

Genome scale inference of transcriptional regulatory networks using mutual information on complex interactions.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Principles of genomic robustness inspire fault-tolerant WSN topologies: A network science based case study.
Proceedings of the Ninth Annual IEEE International Conference on Pervasive Computing and Communications, 2011

sREVEAL: Scalable extensions of REVEAL towards regulatory network inference.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Poster: Gene regulatory network inference using time lagged context likelihood of relatedness.
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

A Scalable Information Theory Based Gene Regulatory Network Inference Method from Time Series and Knock-Out Data.
Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011

2010
A novel gene network inference algorithm using predictive minimum description length approach.
BMC Systems Biology, 2010

Time lagged information theoretic approaches to the reverse engineering of gene regulatory networks.
BMC Bioinformatics, 2010

Effects of cDNA microarray time-series data size on gene regulatory network inference accuracy.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
Gene Regulatory Network Inference Using Predictive Minimum Description Length Principle and Conditional Mutual Information.
Proceedings of the International Joint Conferences on Bioinformatics, 2009


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