Gaurav Pandey
  Phone: 612-626-7515
Email: gaurav@cs.umn.edu

PUBLICATIONS 

The following published papers describe my work in detail. Summaries of these projects 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 2009 (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. 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)

  2. 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)

  3. 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)

  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 1st 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 1st Indian International Conference on Artificial Intelligence (IICAI), pp. 1350-1363, Hyderabad, India, 2003 (pdf) 

WORKSHOP/MEETING ARTICLES
  1. Gaurav Pandey, Gowtham Atluri, Gang Fang, Rohit Gupta, Michael Steinbach and Vipin Kumar, "Association Analysis Techniques for Analyzing Complex Biological Data Sets", Proceedings of the IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), 2009 (pdf)

  2. Gaurav Pandey, Bin Zhang, Aaron Chang, Jun Zhu, Vipin Kumar and Eric Schadt, "Integrative Multi-network Approach to Predict Synthetic Lethal Interactions", Proceedings of the RECOMB Systems Biology and Regulatory Genomics Meeting, 2008 (pdf)
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  3. Gaurav Pandey, Gowtham Atluri, Michael Steinbach and Vipin Kumar, "Association Analysis Techniques for Discovering Functional Modules from Microarray Data", in Proc. ISMB special interest group meeting on Automated Function Prediction, 2008 (Also published as Nature Precedings 10.1038/npre.2008.2184.1) (pdf)

  4. Gaurav Pandey and Rakshit Daga, "On Extracting Structured Knowledge from Unstructured Business Documents", in Proc IJCAI Workshop on Analytics for Noisy Unstructured Text Data, pp 155-162, 2007 (pdf)

  5. Gaurav Pandey and Vipin Kumar, "Incorporating Functional Inter-relationships into Gene Ontology", in Proc. ISMB special interest group meeting on Automated Function Prediction, 2007 (pdf) 

  6. Rohit Gupta, Tushar Garg, Gaurav Pandey, Michael Steinbach and Vipin Kumar, "Comparative Study of Various Genomic Data Sets for Protein Function Prediction and Enhancements using Association Analysis", In Proc Workshop on Data Mining for Biomedical Informatics, help in conjunction with the SIAM International Conference on Data Mining, 2007 (pdf)


TECHNICAL REPORTS
  1. Gaurav Pandey, Lakshmi Naarayanan Ramakrishnan, Michael Steinbach and Vipin Kumar, "Systematical Evaluation of Normalization Methods for Gene Expression Data", TR 07-015, Department of Computer Science and Engineering, University of Minnesota, Twin Cities. (link)

  2. Gaurav Pandey, Vipin Kumar and Michael Steinbach, "Computational Approaches for Protein Function Prediction: A Survey", TR 06-028, Department of Computer Science and Engineering, University of Minnesota, Twin Cities. (link)

  3. Other published technical reports that I have co-authored can be found here



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