PUBLICATIONS 

The following published papers describe my work in detail. Summaries of these projects, as well as the most updated list of my publications, can be found in my resume (linked to the left). My DBLP listing can be found here, and my Google Scholar entry can be found here.

BOOK

1. Gaurav Pandey, Chad L. Myers, Vipin Kumar and Michael Steinbach, "Computational Approaches for Protein Function Prediction", to be published in the Wiley Book Series on Bioinformatics in late 2011 (Expected).
   
   

BOOK CHAPTER

1. Chandrika Kamath, Nikhil Wale, George Karypis, Gaurav Pandey, Vipin Kumar et al., "Scientific Data Analysis", in Scientific Data Management: Challenges, Existing Technology and Deployment, Editors Arie Shoshani and Doron Rotem, CRC Press, 2009.
   
   

JOURNAL ARTICLES

1. Gang Fang, Gaurav Pandey, Manish Gupta, Michael Steinbach and Vipin Kumar, "Mining Low-Support Discriminative Patterns from Dense and High-dimensional Data", Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE), 2011 (preprint)
   
   
2. Gaurav Pandey*, Bin Zhang*, Aaron Chang, Chad L. Myers, Jun Zhu, Vipin Kumar and Eric E. Schadt, "An Integrative Multi-Network and Multi-Classifier Approach to Predict Genetic Interactions", PLoS Computational Biology, 6(9): e1000928, 2010 (* Equal contribution) (link) (Cited as one of the major computational biology breakthroughs of 2010 by a Nature Biotechnology feature article)
   
   
3. Gaurav Pandey, Chad L. Myers, and Vipin Kumar, "Incorporating Functional Inter-relationships into Protein Function Prediction Algorithms", BMC Bioinformatics, 10:142, 2009 (pdf) (link) (source code) (Determined "Highly Accessed" by the publisher)
   
   
4. Gaurav Pandey, Sanjay Chawla, Simon Poon, Bavani Arunasalam and Joseph Davis, "Association Rules Network: Definition and Applications", Statistical Analysis and Data Mining, Volume 1, Number 4, pp. 260-279, 2009 (pdf)
   
   
5. Hui Xiong, Gaurav Pandey, Michael Steinbach and Vipin Kumar, "Enhancing Data Analysis with Noise Removal", in IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 18, No 3, pp. 304-319, 2006 (pdf)
   
   

CONFERENCE ARTICLES

1. Gang Fang, Rui Kuang, Gaurav Pandey, Michael Steinbach, Chad L. Myers and Vipin Kumar, " Subspace Differential Coexpression Analysis: Problem Definition and a General Approach", Proceedings of the Pacific Symposium on Biocomputing (PSB), 2010, in press.


2. Gaurav Pandey, Gowtham Atluri, Michael Steinbach, Chad L. Myers and Vipin Kumar, "An Association Analysis Approach to Biclustering", Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp 677-686, 2009 (pdf)(source code)(conference talk)
   
   
3. Gowtham Atluri, Rohit Gupta, Gang Fang, Gaurav Pandey, Michael Steinbach and Vipin Kumar, "Association Analysis Techniques for Bioinformatics Problems", Proceedings of the 1st International Conference on Bioinformatics and Computational Biology (BICoB), pp 1-13, 2009 (pdf)
   
   
4. Gaurav Pandey, Lakshmi N. Ramakrishnan, Michael Steinbach and Vipin Kumar, "Systematic Evaluation of Scaling Methods for Gene Expression Data", Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp 376-381, 2008 (pdf)
   
   
5. Gaurav Pandey, Michael Steinbach, Rohit Gupta, Tushar Garg and Vipin Kumar, "Association Analysis-based Transformations for Protein Interaction Networks: A Function Prediction Case Study", ACM Interactional Conference on Knowledge Discovery and Data Mining (SIGKDD), pp 540-549, 2007 (pdf) (Also selected for presentation at the ISMB 2008 Highlights Track)
   
   
6. Gaurav Pandey, Himanshu Gupta and Pabitra Mitra, "Stochastic Scheduling of Active Support Vector Learning Algorithms", in the Proceedings of the 20th ACM Symposium on Applied Computing (SAC), pp. 38-42, Santa Fe, USA, 2005 (pdf)
   
   
7. Sanjay Chawla, Joseph Davis and Gaurav Pandey, "On Local Pruning of Association Rules Using Directed Hypergraphs", Proceedings of the 20th IEEE International Conference on Data Engineering (ICDE), pp. 832, Boston, USA, 2004 (pdf) 
   
   
8. Gaurav Pandey, Ankit Anand and Harish Karnick, "EUCLID: A System for the Exploratory Discovery of Geometrical Properties of Triangles", in the Proceedings of the 1^st Indian International Conference on Artificial Intelligence (IICAI), pp. 2759-2776, Pune, India, 2005 (pdf)
   
   
9. Gaurav Pandey, Chaitanya Mishra and Paul Ipe, "TANSEN : A System for Automatic Raga Identification", in the Proceedings of the 1^st Indian International Conference on Artificial Intelligence (IICAI), pp. 1350-1363, Hyderabad, India, 2003 (pdf)