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Computational Systems Biology of Cancer at Institut Curie's Projects

acsnminer icon acsnminer

R package for enrichment/depletion analysis of ACSN maps and gmt files

amonet icon amonet

Artificial Molecular Network: graph learning for cancer survival prediction from targeted sequencing

binom-3.0 icon binom-3.0

BiNoM (Biological Network Manager) is a Cytoscape 3 app currently under developement by the Computational Systems Biology of Cancer group in Bioinformatics Laboratory of Institut Curie (Paris).

biodica icon biodica

"Independent Component Analysis of BIg Omics Data"

cbiofetchr icon cbiofetchr

R package to fetch data from cBioPortal using a list of genes.

cd2sbgnml icon cd2sbgnml

Translation between CellDesigner-flavoured SBML and SBGN-ML

cfnetwork icon cfnetwork

Codes to reproduce the analyses and the construction of the CF signalling network.

clintrajan icon clintrajan

Finding trajectories, bifurcations and quantifying pseudotime in large clinical datasets

clustmmra_v2 icon clustmmra_v2

A scalable version of the clustMMRA pipeline for the identification of genomically co-clustered microRNAs driving cancer subtypes.

covid19 icon covid19

Rapid prototyping coalition for SARS-CoV-2 tissue infection dynamics. (integrated model)

deconica icon deconica

Deconvolution of transcriptome through Immune Component Analysis

dedal icon dedal

DeDaL (Data-Driven network Layout) is a Cytoscape 3.0 app developed by the Computational Systems Biology of Cancer group in Bioinformatics Laboratory of Institut Curie (Paris).

eccb2020-t05 icon eccb2020-t05

Material for the tutorial 05 of ECCB (Computational modelling of cellular processes: regulatory vs metabolic systems)

elpigraph.m icon elpigraph.m

Matlab implementation of the Elastic Principal Graphs (ElPiGraph) method

elpigraph.p icon elpigraph.p

Python implementation of the Elastic Principal Graph algorithm with multi-cpu and gpu support

ewingsinglecelldataanalysis icon ewingsinglecelldataanalysis

Code accompanying the manuscript "Transcriptional programs define intratumoral heterogeneity of Ewing sarcoma at single cell resolution"

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