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Novartis/peakCombiner

Stars
4
Rank 3,304,323 (Top 66 %)
Language
R
License
Other
Created about 1 year ago
Updated 4 months ago

Novartis/peakCombiner

Novartis

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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.

tidymodules

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YADA

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peax

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torchsurv

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scar

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

cellxgene-gateway

Cellxgene Gateway allows you to use the Cellxgene Server provided by the Chan Zuckerberg Institute (https://github.com/chanzuckerberg/cellxgene) with multiple datasets.

ontobrowser

OntoBrowser is a web-based application for managing ontologies

shinyValidator

Audit your Shiny apps at each commit. Multiple levels of testings are offered: startup and crash tests, performance tests (load test and global code profiling), reactivity audit as well as output tests. All results are gathered in an HTML report uploaded and available to everyone on any CI/CD plaform or RStudio Connect

yap

High throughput, pain-free big data pipelines.

pQSAR

Massively multitask stacked model for predicting activity of thousands of biological assays

ChemBioMultimodalAutoencoders

a package for streamlined multidomain data integration and translation based on cross-modal autoencoders architectures

pqsar2cpd

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easyTrackHubs

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Exploratory Graphics for PKPD data

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This repository contains code examples for several methods in a Causal Inference in RCTs short course.

patprofile

Standard patient profile for shiny apps

DRUG-seq

DRUG (Digital RNA with pertUrbation of Genes)-seq data analysis pipeline

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A repository of compound-target annotations in support of Systematic Chemogenetic Library Assembly

railroadtracks

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gridvar

GridVar is a jQuery plugin that visualizes multi-dimensional datasets as layers organized in a row-column format.

xgxr

R package for supporting exploratory graphics at http://opensource.nibr.com/xgx

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Jenkins for Life Science Continuous Integration

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Unix-based RNA-seq quantification pipeline

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habitat

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scRNAseq_workflow_benchmark

Workflow for the analysis fo single-cell RNASeq data using R/bioconductor

div_rank

This code allows is for diversity picking across multiple different, and potentially overlapping chemical compound classes, while at the same time optimizing a property score. This algorithm has been used in the re-design of the Novartis screening deck as described in https://dx.doi.org/10.1021/acs.jmedchem.0c01332

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{subpat} is a collection of modules to create subpopulations and subgroups from clinical trial data

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Jupyter Notebook

chraw

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mvAC50

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chess-redux

mueller_et_al_2018

Processed data relating to Continuous monitoring of patient mobility for 18 months using inertial sensors following traumatic knee injury: a case study Mueller A., Hoefling H., Nuritdinow T., et al. Paper: http://doi.org/10.1159/000490919 Raw data: http://doi.org/10.5281/zenodo.1443190