A network-based integrative approach to prioritize reliable hits from multiple genome-wide RNAi screens in Drosophila
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* Corresponding authors: Zhidong Tu zhidong_tu@merck.com - Fengzhu Sun fsun@usc.edu
1 Molecular and Computational Biology Program, University of Southern California, Los Angeles, CA 90089, USA
2 Rosetta Inpharmatics, a wholly owned subsidiary of Merck & Co., Inc, 401 Terry Ave N, Seattle WA 98109, USA
3 MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST/Department of Automation, Tsinghua University, Beijing, PR China
BMC Genomics 2009, 10:220 doi:10.1186/1471-2164-10-220
Published: 12 May 2009Additional files
Additional file 1:
Supplementary materials. This file contains all the supplementary text, tables and figures.
Format: PDF Size: 729KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional file 2:
NePhe scores. This file contains the NePhe score results for both hits and nonhits of the 24 whole-genome RNAi screens.
Format: XLS Size: 7.7MB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional file 3:
R package NePhe. This file contains the source codes of the R package for computing NePhe scores.
Format: RAR Size: 8KB Download file
