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sobolev_alignment
PublicSobolev alignment of deep probabilistic models for comparing single cell profilesbcm3
PublicPRECISE
PublicscMeMo-paper
PublicTRANSACT_manuscript
Publicppbc
PublicDISCOVER
PublicTRANSACT
PublicPython implementation of TRANSACT, a tool to transfer non-linear predictors of drug response from model systems to tumors.Percolate
PublicImplementation of Percolate, an exponential family JIVE statistical model for multi-view integrationPercolate_manuscript
Publicprepost_neoadjuvant
PublicTumor-educated-platelets
Publicfuncsfa
PublicRUBIC
Publicflexgsea-r
PublicFlexible gene set enrichment analysisimagene-analysis
Publicwon-parafac
PublicWeighted orthogonal non-negative (WON) parallel factor analsyis (PARAFAC)mvdens
PublicTANDEM
PublicA two-stage regression method that can be used when various input data types are correlated, for example gene expression and methylation in drug response prediction. In the first stage it uses the upstream features (such as methylation) to predict the response variable (such as drug response), and in the second stage it uses the downstream featu…PRECISE_figures
Publiccnr
PublicCNR-analyses
PubliciTOP
PublicMixedIC50
PubliciTOP-RMarkdown
Publicmultitask_vi
PublicThe Multitask Variable Importance (Multitask VI) is a modified version of the permuted variable importance score for Random Forests. Essentially, for a Random Forest trained simultaneously for multiple response vectors, it allows the inference of variable importance scores per variable and per task.imfusion
Publiccimpl
Public