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Novartis

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  1. tidymodules tidymodules Public

    An Object-Oriented approach to Shiny modules

    R 143 11

  2. YADA YADA Public

    Open-source Data Ops

    Java 81 21

  3. peax peax Public

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

    Jupyter Notebook 67 14

  4. cellxgene-gateway cellxgene-gateway Public

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

    Python 52 32

  5. torchsurv torchsurv Public

    Deep survival analysis made easy

    Python 52 7

  6. scar scar Public

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

    Python 45 4

Repositories

Showing 10 of 88 repositories
  • torchsurv Public

    Deep survival analysis made easy

    Novartis/torchsurv’s past year of commit activity
    Python 52 MIT 7 6 0 Updated Jul 19, 2024
  • peakCombiner 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.

    Novartis/peakCombiner’s past year of commit activity
    R 4 1 0 1 Updated Jul 18, 2024
  • tidymodules Public

    An Object-Oriented approach to Shiny modules

    Novartis/tidymodules’s past year of commit activity
    R 143 11 24 0 Updated Jul 18, 2024
  • dpasurv Public

    An R-package for performing dynamic path analysis on survival data with estimation of the corresponding direct, indirect, and total effects.

    Novartis/dpasurv’s past year of commit activity
    R 1 MIT 0 0 0 Updated Jul 11, 2024
  • Cu-Catalyzed-Ligands-Design Public

    By establishing machine learning (ML) models, the design of ligands and optimization of reaction conditions were effectively facilitated

    Novartis/Cu-Catalyzed-Ligands-Design’s past year of commit activity
    Jupyter Notebook 1 MIT 0 0 0 Updated Jun 27, 2024
  • Causal-inference-in-RCTs Public

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

    Novartis/Causal-inference-in-RCTs’s past year of commit activity
    R 18 MIT 0 0 0 Updated Jun 7, 2024
  • bamdd Public

    Applied modelling in drug development: flexible Bayesian regression modelling in Stan via brms

    Novartis/bamdd’s past year of commit activity
    TeX 14 GPL-2.0 2 1 0 Updated Jun 5, 2024
  • scar Public

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

    Novartis/scar’s past year of commit activity
    Python 45 4 0 0 Updated May 28, 2024
  • pisces Public

    PISCES is a pipeline for rapid transcript quantitation, genetic fingerprinting, and quality control assessment of RNAseq libraries using Salmon.

    Novartis/pisces’s past year of commit activity
    Python 28 Apache-2.0 3 11 0 Updated May 28, 2024
  • scOTGM Public

    This is the official codebase for "sc-OTGM: Single-Cell Perturbation Modeling by Solving Optimal Mass Transport on the Manifold of Gaussian Mixtures"

    Novartis/scOTGM’s past year of commit activity
    Jupyter Notebook 0 GPL-3.0 0 0 0 Updated May 17, 2024
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