文件列表:

UserManualv2_appnote.pdf (1612141, 2009-10-05)
VIBEv2_appnote.exe (765014, 2009-10-05)
SampleData (0, 2009-10-05)
SampleData\Class_Matrix.mat (351, 2009-07-31)
SampleData\Class_Matrix.txt (1015, 2009-07-31)
SampleData\Class_Matrix.xls (19456, 2009-08-13)
SampleData\Class_Matrix_Test.txt (242, 2009-09-29)
SampleData\Class_Matrix_Train.txt (405, 2009-09-29)
SampleData\Probability_Matrices_Together.xls (32768, 2009-10-05)
SampleData\Probability_Matrix_MALDI.xls (20992, 2009-10-05)
SampleData\Probability_Matrix_NMR.mat (580, 2009-10-05)
SampleData\Probability_Matrix_NMR.txt (2448, 2009-10-05)
SampleData\Probability_Matrix_NMR.xls (22528, 2009-10-05)
SampleData\Probability_Matrix_ORBITRAP.xls (26112, 2009-10-05)
SampleData\Raw_Data_MALDI.xls (21504, 2009-09-29)
SampleData\Raw_Data_NMR.mat (1537, 2009-10-05)
SampleData\Raw_Data_NMR.txt (1931, 2009-10-05)
SampleData\Raw_Data_NMR.xls (20992, 2009-09-29)
SampleData\Raw_Data_ORBITRAP.xls (29184, 2009-09-29)
SampleData\Raw_Test_Data_MALDI.xls (17408, 2009-09-29)
SampleData\Raw_Test_Data_NMR.xls (18432, 2009-09-29)
SampleData\Raw_Test_Data_ORBITRAP.xls (19968, 2009-09-29)
SampleData\Raw_Train_Data_MALDI.xls (20992, 2009-09-29)
SampleData\Raw_Train_Data_NMR.xls (20480, 2009-09-29)
SampleData\Raw_Train_Data_ORBITRAP.xls (26624, 2009-09-29)
SampleData\Saved_Session.mat (6795, 2009-10-05)
count.mat (298, 2009-10-05)
FAQv2.pdf (73945, 2009-06-29)
RevisionHistory.txt (815, 2009-10-05)

VIBE: Visual Integration for Bayesian Evaluation Overview: The Visual Integration for Bayesian Evaluation (VIBE) software is a visualization tool that allows the user to observe classification accuracies at the class level and evaluate classification accuracies on any subset of available data types based on the posterior probability models defined for the individual and integrated data. This software helps you integrate data from various high-throughput proteomics and metabolomics technologies using a Bayesian approach to integration that uses posterior probabilities to assign class memberships to samples using individual and multiple data sources; these probabilities are based on lower-level likelihood functions derived from standard statistical learning algorithms. Instructions for use: 1) Download and install the Matlab Compiler Runtime v7.11 (http://omics.pnl.gov/installers/MCRInstaller_v7.11.zip) 2) Download VIBE_Program.zip from http://omics.pnl.gov/software/VIBE.php and unzip to a new folder 3) Run VIBEv2_appnote.exe See file UserManualv2.pdf for information on using the software. See file FAQv2.pdf for some frequently asked questions and answers. See also the following manuscript, which describes the algorithm and the software: Webb-Robertson BJ, McCue LA, Beagley N, McDermott JE, Wunschel DS, Varnum SM, Hu JZ, Isern NG, Buchko GW, Mcateer K, Pounds JG, Skerrett SJ, Liggitt D, Frevert CW. "A Bayesian integration model of high-throughput proteomics and metabolomics data for improved early detection of microbial infections." Pac Symp Biocomput. 2009:451-63. http://www.ncbi.nlm.nih.gov/pubmed/19209722 ------------------------------------------------------------------------------- Written by Bobbie-Jo Webb-Robertson, Nathanial Beagley, and Kelly Stratton for the Department of Energy (PNNL, Richland, WA) Copyright 2009, Battelle Memorial Institute. All Rights Reserved. E-mail: Bobbie-Jo.Webb-Robertson@pnl.gov Website: http://omics.pnl.gov/ or http://www.sysbio.org/resources/staff/ ------------------------------------------------------------------------------- Licensed under the Apache License, Version 2.0; you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 All publications that result from the use of this software should include the following acknowledgment statement: Portions of this research were supported by the W.R. Wiley Environmental Molecular Science Laboratory, a national scientific user facility sponsored by the U.S. Department of Energy's Office of Biological and Environmental Research and located at PNNL. PNNL is operated by Battelle Memorial Institute for the U.S. Department of Energy under contract DE-AC05-76RL0 1830. Notice: This computer software was prepared by Battelle Memorial Institute, hereinafter the Contractor, under Contract No. DE-AC05-76RL0 1830 with the Department of Energy (DOE). All rights in the computer software are reserved by DOE on behalf of the United States Government and the Contractor as provided in the Contract. NEITHER THE GOVERNMENT NOR THE CONTRACTOR MAKES ANY WARRANTY, EXPRESS OR IMPLIED, OR ASSUMES ANY LIABILITY FOR THE USE OF THIS SOFTWARE. This notice including this sentence must appear on any copies of this computer software.

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