Jeffrey D. Parvin

According to our database, Jeffrey D. Parvin authored at least 13 papers between 2009 and 2015.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2015

MICA: MicroRNA integration for active module discovery.

Ayat Hatem, Kamer Kaya, Jeffrey D. Parvin, Kun Huang, Ümit V. Çatalyürek

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014

MMAD: microarray microdissection with analysis of differences is a computational tool for deconvoluting cell type-specific contributions from tissue samples.

David A. Liebner, Kun Huang, Jeffrey D. Parvin

Bioinform., 2014

Mining massive SNP data for identifying associated SNPs and uncovering gene relationships.

Amy Webb, Aaron Albin, Zhan Ye, Majid Rastegar-Mojarad, Kun Huang, Jeffrey D. Parvin, Wolfgang Sadee, Lang Li, Simon M. Lin, Yang Xiang

Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013

Gene co-expression analysis predicts genetic aberration loci associated with colon cancer metastasis.

Jie Zhang, Shiwei Ni, Yang Xiang, Jeffrey D. Parvin, Yufeng Yang, Yongjian Zhou, Kun Huang

Int. J. Comput. Biol. Drug Des., 2013

2012

Weighted Frequent Gene Co-expression Network Mining to Identify Genes Involved in Genome Stability.

Jie Zhang, Kewei Lu, Yang Xiang, Muhtadi Islam, Shweta Kotian, Zeina Kais, Cindy Lee, Mansi Arora, Hui-wen Liu, Jeffrey D. Parvin, Kun Huang

PLoS Comput. Biol., 2012

2011

Comparing Multiple Chip-Sequencing Experiments.

Hatice Gulcin Ozer, Yi-Wen Huang, Jiejun Wu, Jeffrey D. Parvin, Tim Hui-Ming Huang, Kun Huang

J. Bioinform. Comput. Biol., 2011

Predicting Parkinson's disease related genes using frequent gene co-expression analysis.

Jie Zhang, Shiwei Ni, Jeffrey D. Parvin, Yufeng Yang, Kun Huang

Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Identifying smoking associated gene co-expression networks related to oral cancer initiation.

Jie Zhang, Thomas Knobloch, Jeffrey D. Parvin, Christopher Weghorst, Kun Huang

Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010

Inference of hierarchical regulatory network of estrogen-dependent breast cancer through ChIP-based data.

Fei Gu, Hang-Kai Hsu, Pei-Yin Hsu, Jiejun Wu, Yilin Ma, Jeffrey D. Parvin, Tim Hui-Ming Huang, Victor X. Jin

BMC Syst. Biol., 2010

2009

Comparative study on ChIP-seq data: normalization and binding pattern characterization.

Cenny Taslim, Jiejun Wu, Pearlly Yan, Greg Singer, Jeffrey D. Parvin, Tim Hui-Ming Huang, Shili Lin, Kun Huang

Bioinform., 2009

A Comprehensive Analysis Workflow for Genome-Wide Screening Data from ChIP-Sequencing Experiments.

Hatice Gulcin Ozer, Doruk Bozdag, Terry Camerlengo, Jiejun Wu, Yi-Wen Huang, Timothy D. R. Hartley, Jeffrey D. Parvin, Tim Hui-Ming Huang, Ümit V. Çatalyürek, Kun Huang

Proceedings of the Bioinformatics and Computational Biology, 2009

A Biclustering Method to Discover Co-regulated Genes Using Diverse Gene Expression Datasets.

Doruk Bozdag, Jeffrey D. Parvin, Ümit V. Çatalyürek

Proceedings of the Bioinformatics and Computational Biology, 2009

Enabling Data Analysis on High-Throughput Data in Large Data Depository Using Web-Based Analysis Platform - A Case Study on Integrating QUEST with GenePattern in Epigenetics Research.

Terry Camerlengo, Hatice Gulcin Ozer, Pearlly Yan, Jeffrey D. Parvin, Tim Hui-Ming Huang, Kun Huang, Mingxiang Teng, Lang Li, Yunlong Liu, Francisco Perez, Tahsin M. Kurç

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009