CORDIS - Forschungsergebnisse der EU
CORDIS

Computational ONcology TRaining Alliance

Leistungen

Software for phylogeny with migration

A software for analysing phylogeny in combination with migration.

Progression inference software

A software for progression inference for multiple tumors.

Resistance onset prediction model

A model for resistance onset prediction.

A first software for tumour phylogeny reconstruction

Software for tumour phylogeny reconstruction from mutations.

Resistance risk evaluation tool

A software tool for resistance risk evaluation.

Project communicating and promoting material, including web site.

Compilation of all project communicating and promoting material, including web site.

Communication and dissemination activities

Completion of all communication and dissemination activities

All recruitment measures

All recruitment measures finalized including advertising on web, Facebook, and standard media.

Experimentally validated relapse and metastasis drivers

A list of experimentally validated relapse and metastasis drivers

Growth rate and progression type based biomarker

A growth rate and progression type based biomarker for cancer

Experimentally validated cancer drivers

A list of experimentally validated cancer drivers

Time dependent mutation signatures

Time dependent cancer mutation signatures

CONTRA PhD Theses

Completion of all CONTRA PhD Theses

New biomarkers that inform treatment sensitivity

A list of new biomarkers that inform treatment sensitivity

Veröffentlichungen

CACTUS: integrating clonal architecture with genomic clustering and transcriptome profiling of single tumor cells

Autoren: Shadi Darvish Shafighi; Szymon M. Kielbasa; Julieta Sepulveda-Yanez; Ramin Monajemi; Davy Cats; Hailiang Mei; Roberta Menafra; Susan L. Kloet; Hendrik Veelken; Cornelis A.M. van Bergen; Ewa Szczurek
Veröffentlicht in: Genome Medicine, Ausgabe 4, 2021, ISSN 1471-2458
Herausgeber: BioMed Central
DOI: 10.1101/2020.06.05.134452

Integrative radiogenomics for virtual biopsy and treatment monitoring in ovarian cancer.

Autoren: Paula Martin-Gonzalez; Mireia Crispin-Ortuzar; Leonardo Rundo; Maria Delgado-Ortet; Marika Reinius; Lucian Beer; Ramona Woitek; Stephan Ursprung; Helen Addley; Helen Addley; James D. Brenton; Florian Markowetz; Evis Sala
Veröffentlicht in: Insights into Imaging, Vol 11, Iss 1, Pp 1-10 (2020), Ausgabe 4, 2020, ISSN 1869-4101
Herausgeber: Springer Science and Business Media Deutschland GmbH
DOI: 10.17863/cam.74310

Bayesian non-parametric clustering of single-cell mutation profiles

Autoren: Nico Borgsmüller; Nico Borgsmüller; Jose Bonet; Francesco Marass; Francesco Marass; Abel Gonzalez-Perez; Nuria Lopez-Bigas; Niko Beerenwinkel; Niko Beerenwinkel
Veröffentlicht in: Bioinformatics, Ausgabe 10, 2020, ISSN 1367-4803
Herausgeber: Oxford University Press
DOI: 10.1101/2020.01.15.907345

Pan-cancer detection of driver genes at the single-patient resolution.

Autoren: Joel Nulsen; Hrvoje Misetic; Christopher Yau; Francesca D. Ciccarelli
Veröffentlicht in: Genome Medicine, Ausgabe 9, 2021, ISSN 1756-994X
Herausgeber: BioMed Central
DOI: 10.1186/s13073-021-00830-0

DeepMP: a deep learning tool to detect DNA base modifications on Nanopore sequencing data

Autoren: Jose Bonet; Mandi Chen; Mandi Chen; Marc Dabad; Simon Heath; Abel Gonzalez-Perez; Nuria Lopez-Bigas; Nuria Lopez-Bigas; Jens Lagergren; Jens Lagergren
Veröffentlicht in: Bioinformatics, Ausgabe Volume 38, Ausgabe 5,, 2021, Seite(n) 1235–1243, ISSN 1367-4803
Herausgeber: Oxford University Press
DOI: 10.1101/2021.06.28.450135

Cell Abundance Aware Deep Learning For Cell Detection On Highly Imbalanced Pathological Data

Autoren: Yeman Brhane Hagos; Catherine S. Y. Lecat; Dominic Patel; Lydia Lee; Thien-An Tran; Manuel Rodriguez–Justo; Kwee Yong; Yinyin Yuan
Veröffentlicht in: ISBI, Ausgabe 10, 2021
Herausgeber: IEEE
DOI: 10.1109/isbi48211.2021.9433994

ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images

Autoren: Hagos, Yeman Brhane; Narayanan, Priya Lakshmi; Akarca, Ayse U.; Marafioti, Teresa; Yuan, Yinyin
Veröffentlicht in: Ausgabe 7, 2019
Herausgeber: Springer

ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images

Autoren: Yeman Brhane Hagos; Priya Narayanan; Ayse U. Akarca; Teresa Marafioti; Yinyin Yuan
Veröffentlicht in: MICCAI (1), Ausgabe 2, 2019
Herausgeber: Springer
DOI: 10.1007/978-3-030-32239-7_74

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