:: DESCRIPTION
ABCreg is a tool for performing statistical inference via approximate Bayesian computation, or ABC.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
BMC Genet. 2009 Jul 7;10:35. doi: 10.1186/1471-2156-10-35.
Automating approximate Bayesian computation by local linear regression.
Thornton KR
:: DESCRIPTION
ABCRF is an R library to perform Approximate Bayesian Computation (ABC) model choice and parameter inference via random forests.
::DEVELOPER
The Computational Biology Institute (IBC)
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Bioinformatics. 2019 May 15;35(10):1720-1728. doi: 10.1093/bioinformatics/bty867.
ABC random forests for Bayesian parameter inference.
Raynal L, Marin JM, Pudlo P, Ribatet M, Robert CP, Estoup A
:: DESCRIPTION
HappieClust is an approximate version of agglomerative hierarchical clustering. When performing the standard full agglomerative hierarchical clustering, each pair of objects must be inspected to evaluate similarity. This is very time-consuming for large numbers of objects and/or complicated similarity measures. HappieClust performs agglomerative hierarchical clustering with partial information, not requiring all pairwise similarities to be known. HappieClust is further able to use similarity heuristics to carefully choose a subset of pairs for which the similarities are evaluated.
::DEVELOPER
Meelis Kull, Jaak Vilo
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
M. Kull, J. Vilo. .
Fast approximate hierarchical clustering using similarity heuristics.
BioData Mining 2008, 1:9 (22 September 2008)
