Pan-cancer functional evaluation of non-coding DNA mutations

Project Information

PCFENCM

Grant agreement ID: 703543

DOI

10.3030/703543

Project terminated on 31 May 2019

EC signature date 31 March 2016

Start date 1 January 2017

End date 31 December 2019

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 251 857,80

EU contribution

€ 251 857,80

Coordinated by

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
United Kingdom

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (4)

Elucidating Compound Mechanism of Action and Predicting Cytotoxicity Using Machine Learning Approaches, Taking Prediction Confidence into Account

Author(s): Georgios Drakakis, Isidro Cortés‐Ciriano, Ben Alexander‐Dann, Andreas Bender
Published in: Current Protocols in Chemical Biology, Issue 11/3, 2019, ISSN 2160-4762
Publisher: John Wiley and Sons Ltd
DOI: 10.1002/cpch.73

Accurate detection of mosaic variants in sequencing data without matched controls

Author(s): Yanmei Dou, Minseok Kwon, Rachel E. Rodin, Isidro Cortés-Ciriano, Ryan Doan, Lovelace J. Luquette, Alon Galor, Craig Bohrson, Christopher A. Walsh, Peter J. Park
Published in: Nature Biotechnology, Issue 38/3, 2020, Page(s) 314-319, ISSN 1087-0156
Publisher: Nature Publishing Group
DOI: 10.1038/s41587-019-0368-8

Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout

Author(s): Isidro Cortés-Ciriano, Andreas Bender
Published in: Journal of Chemical Information and Modeling, Issue 59/7, 2019, Page(s) 3330-3339, ISSN 1549-9596
Publisher: American Chemical Society
DOI: 10.1021/acs.jcim.9b00297

Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Prediction Errors for Deep Neural Networks

Author(s): Isidro Cortés-Ciriano, Andreas Bender
Published in: Journal of Chemical Information and Modeling, Issue 59/3, 2018, Page(s) 1269-1281, ISSN 1549-9596
Publisher: American Chemical Society
DOI: 10.1021/acs.jcim.8b00542

Other (2)

KekuleScope: improved prediction of cancer cell line sensitivity using convolutional neural networks trained on compound images

Author(s): Isidro Cortes Ciriano and Andreas Bender
Published in: 2018
Publisher: bioArxiv

Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing

Author(s): Isidro Cortes-Ciriano, June-Koo Lee, Ruibin Xi, Dhawal Jain, Youngsook L Jung, Lixing Yang, Dmitry Gordenin, Leszek J Klimczak, Cheng-Zhong Zhang, David S Pellman, Peter J Park, PCAWG Structural Variation Working Group, ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Network
Published in: 2018
Publisher: bioRxiv
DOI: 10.1101/333617

Book chapters (1)

Chapter 5. Concepts and Applications of Conformal Prediction in Computational Drug Discovery

Author(s): Isidro Cortés-Ciriano, Andreas Bender
Published in: Artificial Intelligence in Drug Discovery, 2020, Page(s) 63-101, ISBN 978-1-78801-547-9
Publisher: Royal Society of Chemistry
DOI: 10.1039/9781788016841-00063