资 源 简 介
We present a Bayesian method for the unsupervised integrative modelling of multiple datasets, which we refer to as MDI (Multiple Dataset Integration). MDI can integrate information from a wide range of different datasets and data types simultaneously. We consider the integration of three datasets, two of which comprise static measurements (ChIP–chip and PPI), and the other of which comprises gene
expression time course data.
文 件 列 表
MDI
.DS_Store
BagOfWords.m
blockify.m
Data
ExampleScript.m
Gaussian.m
GenerateSyntheticCountsData.m
GenerateSyntheticGaussianData.m
invertAcollapsed.m
invertCollapsedBlockMatrix.m
MDI.m
MDI_UserManual.pdf
MDISim.m
MDISim.pbs
MDISim.sh
Multinomial.m
multiplySquareSymmetricBlockMatrixByBlockVector.m
NegativeBinomial.m
Poisson.m
README
ResultsHandling
RunMDI.pbs
RunMDI_rss.m
RunMinervaScript.sh
TimeCourse.m
read me.txt
