Gaurav Pandey

Affiliations:
  • University of California Berkeley, Berkeley, CA, USA
  • University of Minnesota, Twin Cities, USA (Ph.D.)


According to our database1, Gaurav Pandey authored at least 13 papers between 2006 and 2013.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2013
Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling.
PLoS Comput. Biol., 2013

2012
Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data.
IEEE Trans. Knowl. Data Eng., 2012

Enhancing the functional content of protein interaction networks
CoRR, 2012

2010
An Integrative Multi-Network and Multi-Classifier Approach to Predict Genetic Interactions.
PLoS Comput. Biol., 2010

Subspace Differential Coexpression Analysis: Problem Definition and a General Approach.
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

2009
Incorporating functional inter-relationships into protein function prediction algorithms.
BMC Bioinform., 2009

An association analysis approach to biclustering.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Association analysis techniques for analyzing complex biological data sets.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

Association Analysis Techniques for Bioinformatics Problems.
Proceedings of the Bioinformatics and Computational Biology, 2009

Scientific Data Analysis.
Proceedings of the Scientific Data Management - Challenges, Technology, and Deployment., 2009

2008
Systematic Evaluation of Scaling Methods for Gene Expression Data.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007
Association analysis-based transformations for protein interaction networks: a function prediction case study.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006
Enhancing Data Analysis with Noise Removal.
IEEE Trans. Knowl. Data Eng., 2006


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