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@NKI-CCB

CCB, NKI

Computation Cancer Biology Group, the Netherlands Cancer Institute

Pinned

  1. DISCOVER DISCOVER Public

    DISCOVER co-occurrence and mutual exclusivity analysis for cancer genomics data

    Fortran 25 6

  2. flexgsea-r flexgsea-r Public

    Flexible gene set enrichment analysis

    R 10 2

  3. cnr cnr Public

    A method for network reconstruction and quantification from perturbation experiments

    Python

  4. TANDEM TANDEM Public

    A 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 …

    R 4

  5. won-parafac won-parafac Public

    Weighted orthogonal non-negative (WON) parallel factor analsyis (PARAFAC)

    MATLAB 1 2

  6. sobolev_alignment sobolev_alignment Public

    Sobolev alignment of deep probabilistic models for comparing single cell profiles

    Python 5 2

Repositories

9 results for all repositories written in Python sorted by last updated
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Showing 9 of 9 repositories
  • sobolev_alignment Public

    Sobolev alignment of deep probabilistic models for comparing single cell profiles

    Python 5 MIT 2 0 2 Updated May 6, 2024
  • PRECISE Public
    Python 7 MIT 1 0 1 Updated Feb 1, 2024
  • TRANSACT_manuscript Public

    Scripts supporting TRANSACT manuscript

    Python 5 MIT 3 1 1 Updated Aug 17, 2023
  • Percolate Public

    Implementation of Percolate, an exponential family JIVE statistical model for multi-view integration

    Python 1 MIT 0 1 0 Updated Oct 23, 2022
  • funcsfa Public

    Functional Sparse-Factor Analysis

    Python 1 Apache-2.0 0 1 0 Updated Feb 14, 2022
  • imagene-analysis Public

    Radiogenomic analysis of breast cancer by linking MRI phenotypes with tumor gene expression

    Python 4 MIT 1 0 0 Updated Jun 9, 2021
  • cnr Public

    A method for network reconstruction and quantification from perturbation experiments

    Python 0 MIT 0 0 0 Updated Sep 11, 2019
  • multitask_vi Public

    The 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.

    Python 2 0 0 0 Updated Jan 9, 2018
  • imfusion Public

    Tool for identifying transposon insertions and their effects from RNA-seq data.

    Python 3 MIT 1 6 0 Updated Oct 17, 2017

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