A Scalable Information Theory Based Gene Regulatory Network Inference Method from Time Series and Knock-Out Data

Vijender Chaitankar, Preetam Ghosh, Mohamed O. Elasri, Edward J. Perkins. A Scalable Information Theory Based Gene Regulatory Network Inference Method from Time Series and Knock-Out Data. In Hisham Al-Mubaid, editor, Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, BICoB-2011, March 23-25, 2011, Holiday Inn Downtown-Superdome, New Orleans, Louisiana, USA. pages 74-79, ISCA, 2011.

@inproceedings{ChaitankarGEP11-1,
  title = {A Scalable Information Theory Based Gene Regulatory Network Inference Method from Time Series and Knock-Out Data},
  author = {Vijender Chaitankar and Preetam Ghosh and Mohamed O. Elasri and Edward J. Perkins},
  year = {2011},
  researchr = {https://researchr.org/publication/ChaitankarGEP11-1},
  cites = {0},
  citedby = {0},
  pages = {74-79},
  booktitle = {Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, BICoB-2011, March 23-25, 2011, Holiday Inn Downtown-Superdome, New Orleans, Louisiana, USA},
  editor = {Hisham Al-Mubaid},
  publisher = {ISCA},
  isbn = {978-1-880843-81-9},
}