:: DESCRIPTION
REDEMPTION is a MATLAB toolbox for the identification of parameters and parameter ensembles of ODE models from time-series data.
:: DEVELOPER
Chemical and Biological Systems Engineering Laboratory
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
REDEMPTION: Reduced Dimension Ensemble Modeling and Parameter Estimation.
Liu Y, Manesso E, Gunawan R.
Bioinformatics. 2015 Jun 14. pii: btv365.
:: DESCRIPTION
EMD is an ensemble (consensus) algorithm that identifies one or more frequent motifs among multiple sequences.
::DEVELOPER
Kihara Bioinformatics Laboratory
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
BMC Bioinformatics. 2006 Jul 13;7:342.
EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences.
Hu J1, Yang YD, Kihara D.
:: DESCRIPTION
ENA is an approach which leverages the inverse-rank-product (IRP) method to combine networks. This package provides the capabilities to use IRP to bootstrap a dataset using a single method, to aggregate the networks produced by multiple methods, or to aggregate the networks produced on different datasets.
::DEVELOPER
The Quantitative Biomedical Research Center (QBRC)
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
PLoS One. 2014 Nov 12;9(11):e106319. doi: 10.1371/journal.pone.0106319. eCollection 2014.
Ensemble-based network aggregation improves the accuracy of gene network reconstruction.
Zhong R, Allen JD, Xiao G, Xie Y
:: DESCRIPTION
The ENSEMBLE suite contains tools to determine and analyze the weighted ensemble of structures that best represents the unfolded state within the boundaries of a pre-determined conformer pool. In order to do this, a weighted ensemble is used to represent the unfolded state as a collection of rigid structures, each associated with a numerical term proportional to the time-averaged existence of that particular conformation.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
J Mol Biol. 2009 Aug 14;391(2):359-74. doi: 10.1016/j.jmb.2009.06.001. Epub 2009 Jun 6.
Structure and disorder in an unfolded state under nondenaturing conditions from ensemble models consistent with a large number of experimental restraints.
Marsh JA, Forman-Kay JD.
:: DESCRIPTION
Regression tree package contains a c implementation of (multiple output) regression trees and various ensemble methods thereof, including extremely randomized trees (Geurts et al., 2006), Random Forests (Breiman, 2001), and multiple additive regression trees (Friedman et al.).
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
