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John D. Minna
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2020 – today
- 2021
- [j5]Ling Cai, Hongyu Liu, John D. Minna, Ralph J. Deberardinis, Guanghua Xiao, Yang Xie:
Assessing consistency across functional screening datasets in cancer cells. Bioinform. 37(23): 4540-4547 (2021)
2010 – 2019
- 2019
- [j4]Jia-Hao Bi, Yi-Fan Tong, Zhe-Wei Qiu, Xing-Feng Yang, John D. Minna, Adi F. Gazdar, Kai Song:
ClickGene: an open cloud-based platform for big pan-cancer data genome-wide association study, visualization and exploration. BioData Min. 12(1): 12:1-12:15 (2019) - 2016
- [j3]Jonathan H. Young, Michael Peyton, Hyun Seok Kim, Elizabeth McMillan, John D. Minna, Michael A. White, Edward M. Marcotte:
Computational discovery of pathway-level genetic vulnerabilities in non-small-cell lung cancer. Bioinform. 32(9): 1373-1379 (2016) - 2014
- [c3]Oleg Mayba, Florian Gnad, Michael Peyton, Fan Zhang, Kimberly Walter, Pan Du, Melanie A. Huntley, Zhaoshi Jiang, Jinfeng Liu, Peter M. Haverty, Robert Gentleman, Ruiqiang Li, John D. Minna, Yingrui Li, David S. Shames, Zemin Zhang:
Integrative Analysis of Two Cell Lines Derived from a Non-Small-Lung Cancer Patient - A Panomics Approach. Pacific Symposium on Biocomputing 2014: 75-86 - 2012
- [j2]Jeffrey D. Allen, Siling Wang, Min Chen, Luc Girard, John D. Minna, Yang Xie, Guanghua Xiao:
Probe mapping across multiple microarray platforms. Briefings Bioinform. 13(5): 547-554 (2012) - [c2]Karl B. Gregory, Kevin R. Coombes, Amin A. Momin, Luc Girard, Lauren A. Byers, Steven Lin, Michael Peyton, John V. Heymach, John D. Minna, Veerabhadran Baladandayuthapani:
Latent feature decompositions for integrative analysis of diverse high-throughput genomic data. GENSiPS 2012: 130-134
2000 – 2009
- 2007
- [j1]Jyoti K. Shah, Harold R. Garner, Michael A. White, David S. Shames, John D. Minna:
sIR: siRNA Information Resource, a web-based tool for siRNA sequence design and analysis and an open access siRNA database. BMC Bioinform. 8 (2007) - [c1]Siling Wang, Yuhang Wang, Luc Girard, Young Kim, Jonathan R. Pollack, John D. Minna:
An Interval Tree Based Feature Reduction Method For Cancer Classification Using High-Throughput DNA Copy Number Data. BIOCOMP 2007: 248-255
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