Novartis

Repositories

• Project-Mona-Lisa

  Project Mona Lisa (PML): Machine-learning Assisted Diagramming Platform
  JavaScript Apache-2.0 1 3 0 7 Updated Nov 13, 2020

• UMM-Discovery

  UMM-Discovery is a fully unsupervised deep learning method to cluster cellular images with similar phenotypes together, solely based on the intensity values.

  deep-learning unsupervised moa
  Apache-2.0 0 0 0 0 Updated Nov 4, 2020

• 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
  Python 1 1 1 0 Updated Oct 30, 2020

• 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.

  visualization rna-seq dataviz scrna-seq scientific transcriptomics h5ad
  Python Apache-2.0 5 14 8 0 Updated Oct 28, 2020

• sttkit
  Apache-2.0 0 0 0 0 Updated Oct 23, 2020

• PureCN
  Apache-2.0 0 0 0 0 Updated Oct 23, 2020

• mdx-utils
  TypeScript 1 1 0 3 Updated Oct 16, 2020

• xgxr

  R package for supporting exploratory graphics at http://opensource.nibr.com/xgx
  R 5 7 9 1 Updated Oct 8, 2020

• YADA

  Open-source Data Ops
  Java Apache-2.0 16 76 21 0 Updated Oct 8, 2020

• peax

  Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders

  deep-learning data-visualization autoencoder sequential-data epigenomics pattern-search interactive-machine-learning
  Jupyter Notebook 10 37 3 1 Updated Sep 29, 2020

• xgx

  Exploratory Graphics for PKPD data
  HTML 4 10 2 2 Updated Jul 31, 2020

• requests

  Request interface for Novartis Open Source
  0 0 5 0 Updated Jul 23, 2020

• tidymodules

  An Object-Oriented approach to Shiny modules

  r communication shiny oop inheritance shiny-modules tidy-operators
  R 3 74 20 0 Updated Jun 20, 2020

• Advanced-User-Interfaces-for-Shiny-Developers
  1 5 0 0 Updated Jun 19, 2020

• mvAC50

  AC50 potencies from multivariate assay readouts like gene signatures
  R Apache-2.0 0 0 0 0 Updated Jun 19, 2020

• MoaBox

  A repository of compound-target annotations in support of Systematic Chemogenetic Library Assembly
  1 6 0 0 Updated Jun 3, 2020

• magellan
  0 0 0 0 Updated May 6, 2020

• granulator
  TeX GPL-3.0 0 2 0 0 Updated May 1, 2020

• patprofile

  Standard patient profile for shiny apps
  R MIT 3 8 0 0 Updated Apr 17, 2020

• subpat

  {subpat} is a collection of modules to create subpopulations and subgroups from clinical trial data
  R 0 4 14 0 Updated Apr 5, 2020

• attrib-path

  Parse a simplified JSONPath-like syntax
  TypeScript Apache-2.0 0 0 0 0 Updated Mar 20, 2020

• EQP-QM

  Unix based RNA-seq quantification module
  Java Apache-2.0 0 3 0 0 Updated Jan 23, 2020

• sidtoolbox

  Subgroup identification toolbox
  R MIT 0 2 0 0 Updated Sep 16, 2019

• Novartis.github.io

  Public gallery of NIBR Open Source projects
  HTML 1 0 0 0 Updated Aug 26, 2019

• xgx_v1

  Version 1 of xgx. This version does not require the xgxr package
  HTML 0 0 0 0 Updated Jul 8, 2019

• scRNAseq_workflow_benchmark

  Workflow for the analysis fo single-cell RNASeq data using R/bioconductor
  R Apache-2.0 2 7 0 0 Updated Jun 3, 2019

• CellSIUS

  CellSIUS: Cell Subtype Identification from Upregulated gene Sets
  R Apache-2.0 1 3 0 0 Updated Jun 3, 2019

• 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
  Apache-2.0 1 1 0 0 Updated Oct 3, 2018

• MonolixIdent

  Monolix identifiability assessment R package for generating likelihood profiles (LLPs) and likelihood waterfalls (LLW) using Batchtools for parallelization.
  0 0 0 0 Updated Sep 28, 2018

• Cell-Quant

  Iba1+ cells in the PEC are generally sparsely distributed around the posterior eye cup, but manual quantification of these cells is time consuming. Therefore we developed a second semi-automated MatLab code to quantify single Iba1+ cells. The operator is presented with masked, randomized images and allowed to remove non-specific fluorescence (fa…
  MATLAB Apache-2.0 0 0 0 0 Updated Sep 24, 2018