Computational ONcology TRaining Alliance

Resultado final

Project communicating and promoting material, including web site.

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

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

Resistance onset prediction model

A model for resistance onset prediction.

Publicaciones

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

Autores: 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
Publicado en: Genome Medicine, Edición 4, 2021, ISSN 1471-2458
Editor: BioMed Central
DOI: 10.1101/2020.06.05.134452

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

Autores: 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
Publicado en: Insights into Imaging, Vol 11, Iss 1, Pp 1-10 (2020), Edición 4, 2020, ISSN 1869-4101
Editor: Springer Science and Business Media Deutschland GmbH
DOI: 10.17863/cam.74310

Bayesian non-parametric clustering of single-cell mutation profiles

Autores: Nico Borgsmüller; Nico Borgsmüller; Jose Bonet; Francesco Marass; Francesco Marass; Abel Gonzalez-Perez; Nuria Lopez-Bigas; Niko Beerenwinkel; Niko Beerenwinkel
Publicado en: Bioinformatics, Edición 10, 2020, ISSN 1367-4803
Editor: Oxford University Press
DOI: 10.1101/2020.01.15.907345

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

Autores: Joel Nulsen; Hrvoje Misetic; Christopher Yau; Francesca D. Ciccarelli
Publicado en: Genome Medicine, Edición 9, 2021, ISSN 1756-994X
Editor: BioMed Central
DOI: 10.1186/s13073-021-00830-0

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

Autores: Jose Bonet; Mandi Chen; Mandi Chen; Marc Dabad; Simon Heath; Abel Gonzalez-Perez; Nuria Lopez-Bigas; Nuria Lopez-Bigas; Jens Lagergren; Jens Lagergren
Publicado en: Bioinformatics, Edición Volume 38, Edición 5,, 2021, Página(s) 1235–1243, ISSN 1367-4803
Editor: Oxford University Press
DOI: 10.1101/2021.06.28.450135

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

Autores: Yeman Brhane Hagos; Catherine S. Y. Lecat; Dominic Patel; Lydia Lee; Thien-An Tran; Manuel Rodriguez–Justo; Kwee Yong; Yinyin Yuan
Publicado en: ISBI, Edición 10, 2021
Editor: IEEE
DOI: 10.1109/isbi48211.2021.9433994

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

Autores: Hagos, Yeman Brhane; Narayanan, Priya Lakshmi; Akarca, Ayse U.; Marafioti, Teresa; Yuan, Yinyin
Publicado en: Edición 7, 2019
Editor: Springer

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

Autores: Yeman Brhane Hagos; Priya Narayanan; Ayse U. Akarca; Teresa Marafioti; Yinyin Yuan
Publicado en: MICCAI (1), Edición 2, 2019
Editor: Springer
DOI: 10.1007/978-3-030-32239-7_74

Buscando datos de OpenAIRE...

Resultado final

Publicaciones

Compartir esta página

Descargar