Source Code for Biology and Medicine


Open Access Software review

A proof of the DBRF-MEGN method, an algorithm for deducing minimum equivalent gene networks

Koji Kyoda1,2,3, Kotaro Baba4,5, Hiroaki Kitano3,4,6 and Shuichi Onami1,2,4*

Author Affiliations

1 Laboratory for Developmental Dynamics, RIKEN Quantitative Biology Center, and Advanced Computational Sciences Department, RIKEN Advanced Science Institute, 1-7-22 Suehirocho, Tsurumi, Yokohama 230-0045, Japan

2 Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku, Yokohama 223-8522, Japan

3 Kitano Symbiotic Systems Project, ERATO, Japan Science and Technology Corporation, M31 6A, 6-31-15 Jingumae, Shibuya, Tokyo 150-0001, Japan

4 The Systems Biology Institute, 5-6-9 Shirokanedai, Minato, Tokyo 108-0071, Japan

5 National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan

6 Sony Computer Science Laboratories, Inc, 3-14-13 Higashi-gotanda, Shinagawa, Tokyo 141-0022, Japan

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Source Code for Biology and Medicine 2011, 6:12 doi:10.1186/1751-0473-6-12

Published: 24 June 2011

Additional files

Additional file 1:

The complete source code files, a binary Linux executable file, and the software manual.

Format: ZIP Size: 57KB Download file

Open Data

Additional file 2:

Supporting text for the applicability of the DBRF-MEGN method to the large-scale expression profiles and the sensitivity of the DBRF-MEGN method to the noise of the expression profiles.

Format: DOC Size: 91KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 3:

The MEGNs deduced from large-scale gene expression profiles.

Format: XLS Size: 388KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data