Name | Modified | Size | Downloads / Week |
---|---|---|---|
README.txt | 2015-03-05 | 1.8 kB | |
SEM-bsp_v0.1.zip | 2015-03-05 | 1.0 MB | |
Totals: 2 Items | 1.0 MB | 0 |
######################## # SEM_bestShortestPath # ######################## Copyright (c) 2014-2015 Daniele Pepe, Fernando Palluzzi, Mario Grassi 1. METHOD REFERENCE. SEM BEST SHORTEST PATHS FOR THE CHARACTERIZATION OF DIFFERENTIALLY EXPRESSED GENES Eleventh International Meeting on Computational Intelligence methods for Bioinformatics and Biostatistics, CIBB 2014 Daniele Pepe (1), Fernando Palluzzi (2), Mario Grassi (1) (1) Università di Pavia Department of Brain and Behavioral Sciences (2) Politectico di Milano Department of Electronics, Information and Engineering Contacts: fernando.palluzzi@polimi.it danielepepe84@gmail.com 1. LICENSE. This file is part of SEM-bsp - SEM_bestShortestPath. SEM-bsp is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. SEM-bsp is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with SEM-bsp. If not, see <http://www.gnu.org/licenses/>. 2. RUN SEM_bestShortestPath 1) Start R 2) Install packages lavaan, igraph, KEGGREST, KEGGgraph: source("http://bioconductor.org/biocLite.R") biocLite("lavaan", "igraph", "KEGGREST", "KEGGgraph") 3) Open the script SEM-bsp_v0.1/Example_script_cibb.R 4) Set the working directory to the folder containing the script (../SEM-bsp_v0.1)