Results & Downloads

3 September, 2020

Inferring clonal composition from multiple tumor biopsies

Knowledge about the clonal evolution of a tumor can help to interpret the function of its genetic alterations by identifying initiating events and events that contribute to the selective advantage of proliferative, metastatic, and drug-resistant subclones. 

2 July, 2020

ICML 2020 paper

TUDA submitted a manuscript about continous-time Bayesian networks to the 37th International Conference on Machine Learning.

13 May, 2020

Publication in Nucleic Acids Research

IBM published a new paper about their web service “PaccMann”.

17 April, 2020

Publication in Cancers 2020

“Comprehensive Map of the Regulated Cell Death Signaling Network” in Issue 990 of the “Cancers” Journal. – View and download manuscript

3 April, 2020

AAAI 2020 paper

TUDA contributed to the 34th Conference on Artificial Intelligence with the paper “A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes”.

1 April, 2020

Ewing sarcoma book

CURIE contributed to the Springer book “Ewing Sarcoma – Methods and Protocols, Springer”.

30 March, 2020

Publication in Journal of Hepatology

IGTP contributed with a paper entitled “Epigenetic footprint enables molecular risk stratification of hepatoblastoma with clinical implications”.

19 March, 2020

ROSUS 2020 paper

XLAB published a paper about “Visual Anomaly Detection in Domains with Limited Amount of Labeled Data”.

6 March, 2020

Publication in Entropy

CURIE published a paper on “Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph”

3 March, 2020

Press Release

CURIE elaborates on a better understanding of the intratumoral heterogeneity of Ewing sarcoma.

30 January, 2020

Publication in Molecular Pharmaceutics

IBM and UKL-HD published a paper on “Toward Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-Based Convolutional Encoders”

24 January, 2020

Publication in Blood Advances

BCM’s paper on “Atovaquone is active against AML by upregulating the integrated stress pathway and suppressing oxidative phosphorylation”

21 January, 2020

NeurIPS 2019 paper

TUDA’s paper “Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data” was accepted

16 January, 2020

NeurIPS 2019 paper

IBM’s paper “PaccMannRL: Designing anticancer drugs from transcriptomic data via reinforcement learning” was accepted

15 January, 2020

Publication in Bioinformatics Journal

CURIE published a paper on “cd2sbgnml: bidirectional conversion between CellDesigner and SBGN formats”

25 October, 2019

Publication in Cell Reports

Publication by CURIE on “Transcriptional programs define intratumoral heterogeneity of Ewing sarcoma at single cell resolution”

25 October, 2019

Publication in International Journal of Molecular Sciences

CURIE published a paper on “Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets”

17 October, 2019

The RNA Atlas

UGent and collaborators present a more comprehensive atlas of the human transcriptome that is derived from matching polyA-, total-, and small-RNA profiles of a heterogeneous collection of nearly 300 human tissues and cell lines.

16 September, 2019

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

16 September, 2019

Inferring context specific PPI networks

Publishes by Manica Matteo; Mathis Roland; Cadow Joris; Rodriguez Martinez Maria

16 September, 2019

Interpretability for computational biology

Published by Nguyen An-phi; Rodriguez-Martinez

16 September, 2019

PIMKL: Pathway Induced Multiple Kernel Learning

Published by Manica Matteo; Cadow Joris; Mathis Roland; Rodriguez Martinez Maria

16 September, 2019

Interpretable classification of molecular measurements

Publication by Cadow Joris

28 August, 2019

Interpretability for computational biology

Publication by Nguyen An-phi; Rodriguez-Martinez Maria

28 August, 2019

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

29 July, 2019

Computer Modeling of Clonal Dominance

Publication on Memory-Anti-Naïve and Its Curbing by Attrition by Castiglione, Filippo; Ghersi, Dario; Celada, Franco.

29 July, 2019

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.

19 July, 2019

Video

Find out more about identifying effective personalized medicine for paediatric cancer in the explanatory video. 

15 April, 2019

iPC Leaflet

The official leaflet of the iPC H2020 project containing Partners, Project Information, Mission, Vision and Goals of the project.

2 April, 2019

Assessing reproducibility of matrix factorization methods in independent transcriptomes

Publication by Laura Cantini, Ulykbek Kairov, Aurélien de Reyniès, Emmanuel Barillot, François Radvanyi, Andrei Zinovyev

7 March, 2019

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

1 January, 2019

Announcement Letter

The official announcement letter contains all relevant information about the iPC H2020 project.

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