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NeurIPS 2019 paper
TUDA’s paper “Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data” was accepted
NeurIPS 2019 paper
IBM’s paper “PaccMannRL: Designing anticancer drugs from transcriptomic data via reinforcement learning” was accepted
Publication in Bioinformatics Journal
CURIE published a paper on “cd2sbgnml: bidirectional conversion between CellDesigner and SBGN formats”
Publication in Cell Reports
Publication by CURIE on “Transcriptional programs define intratumoral heterogeneity of Ewing sarcoma at single cell resolution”
Publication in International Journal of Molecular Sciences
CURIE published a paper on “Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets”
Using attention-based neural networks to enable explainable drug sensitivity prediction
Published by Manica Matteo; Oskooei Ali; Born Jannis; Subramanian Vigneshwari; Saez-Rodriguez Julio; Rodriguez Martinez Maria
Inferring context specific PPI networks
Publishes by Manica Matteo; Mathis Roland; Cadow Joris; Rodriguez Martinez Maria
Interpretability for computational biology
Published by Nguyen An-phi; Rodriguez-Martinez
PIMKL: Pathway Induced Multiple Kernel Learning
Published by Manica Matteo; Cadow Joris; Mathis Roland; Rodriguez Martinez Maria
Interpretable classification of molecular measurements
Publication by Cadow Joris
Interpretability for computational biology
Publication by Nguyen An-phi; Rodriguez-Martinez Maria
Using attention-based neural networks
Publication on enabling explainable drug sensitivity prediction on multimodal data by Manica Matteo; Oskooei Ali; Born Jannis; Subramanian Vigneshwari; Saez-Rodriguez Julio; Rodriguez Martinez Maria
Computer Modeling of Clonal Dominance
Publication on Memory-Anti-Naïve and Its Curbing by Attrition by Castiglione, Filippo; Ghersi, Dario; Celada, Franco.
From causal pathways to drug-response targets
Presentation from Rosa Hernansaiz Ballesteros on multi-omic analysis to contextualise large signalling networks on 6th June 2019 at EMBL-EBI, Hixton, UK.
Video
Find out more about identifying effective personalized medicine for paediatric cancer in the explanatory video.
iPC Leaflet
The official leaflet of the iPC H2020 project containing Partners, Project Information, Mission, Vision and Goals of the project.
Assessing reproducibility of matrix factorization methods in independent transcriptomes
Publication by Laura Cantini, Ulykbek Kairov, Aurélien de Reyniès, Emmanuel Barillot, François Radvanyi, Andrei Zinovyev
Press Release
New European Project Squares off against Paediatric Cancer
The Austrian-managed iPC project is now underway and bringing hope to the children with cancer
