FastGCN

A GPU Accelerated Tool for Fast Gene Co-expression Networks

Copyright 2014 © 

Developed by Meimei Liang , Futao Zhang, Gulei Jin, and Jun Zhu

Institute of Bioinformatics, Zhejiang University, China

Features of the Software
First genetic entropy was exploited to filter out some genes with no mutation or small mutation in the raw data preprocessing step. Then Pearson Correlation Coefficients were calculated. At last we normalized these coefficients and used False Discovery Rate to control the multiple tests. All these calculating procedures were implemented on GPU. We also compressed the coefficient matrix to save the space.
The R code was developed by Meimei Liang.The GPU code, OpenMP code for Multi-core computing and Single Thread C/C++ code were developed by Futao Zhang.
What are in FastGCN repository
1. Source code of GPU implementation.
2. Source code of Multi-core CPU implementation.
3. Source code of Single-thread C/C++ implementation.
4.Source code of Single-thread R implementation.
System Requirements
Operation System: Windows, Linux and Mac OS.
Source Code Downloads
Version v1.1 (10/26/2014) Missing data Imputation and Modules Identification were added!

User Manual(v1.1): FastGCN_Manual.pdf

GPU Implementation(v1.1): FastGCN GPU

Multi-core Implementation(v1.1): FastGCN OpenMP

C/C++ Implementation(v1.1): FastGCN C/C++

R Implementation(v1.1): FastGCN R

Version v1.0 (07/01/2014)

User Manual: FastGCN Manual.pdf

GPU Implementation: FastGCN GPU

Multi-core Implementation: FastGCN OpenMP

C/C++ Implementation: FastGCN C/C++

R Implementation: FastGCN R

Executable Binary Code Downloads
Version v1.0 (07/01/2014)

GPU Implementation for Windows: x64 x86

Multi-core Implementation for Windows: x64 x86

C/C++ Implementation for Windows: x64 x86

GPU Implementation for RHEL6.5: FastGCN GPU Linux

Multi-core Implementation for RHEL6.5: FastGCN OpenMP Linux

C/C++ Implementation for RHEL6.5: FastGCN C/C++ Linux

Simulation Datasets

Data for test: Test Data Datasets for testing performance: Datasets

Citation

Meimei Liang, Futao Zhang, Gulei Jin and Jun Zhu* (2014) FastGCN: A GPU Accelerated Tool for Fast Gene Co-expression Networks. (Submitted)

Feedback

If you have any question or comment with our software, please contact to Prof. jzhu@zju.edu.cn.

 

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