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- Deep survival analysis made easy
RBesT
PublicTool-set to support Bayesian evidence synthesis in Rrdocx
Public- The fully R based tool peakCombiner is a user-friendly, transparent, modular and customizable package with the purpose to create a consensus peak file from genomic input regions. The aim is to allow even novice R users to create good quality combined peak sets to be used as the starting point for most downstream differential analyses.
UNIQUE
PublicA Python library for benchmarking uncertainty estimation and quantification methods for Machine Learning models predictions.chraw
PublicThe package analyzes chromatin and multi-omic experiments. It extends the MultiAssayExperiment object and builds a ChrawExperiment object from ENCODE’s output. It performs QC plotting, identifies differential events and other functionalities. More details in package vignettes.tidymodules
PublicAn Object-Oriented approach to Shiny modulesdpasurv
PublicDeepCt
Publicscar
PublicscAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omicsbamdd
PublicCausal-inference-in-RCTs
Publicpisces
PublicPISCES is a pipeline for rapid transcript quantitation, genetic fingerprinting, and quality control assessment of RNAseq libraries using Salmon.scOTGM
PublicWATCH
PublicdWIZGenomics
PubliceasyTrackHubs
PublicThis package provides a function to reformat lists of genome coverage files, such as bigWig of bam files, into the directory structure of a UCSC Track Hub ready to be visualized in the genome browser. For details about it's use, please have a look at the vignette of the package.px_tmt_daa
Publiccellxgene-gateway
PublicCellxgene Gateway allows you to use the Cellxgene Server provided by the Chan Zuckerberg Institute (https://github.com/chanzuckerberg/cellxgene) with multiple datasets.knockofftools
PublicTAT
Publicverifyr
Publicdms-pipeline
Public