Publications

Innovating Metabolic Biomarkers for Hyperpolarized NMR

Authors: RL Hesketh, AJ Wright, KM Brindle

E-pub date: 1 Aug 2021

Journal name:

Autophagy and senescence, converging roles in pathophysiology as seen through mouse models.

Authors: ARJ Young, LD Cassidy, M Narita

E-pub date: 1 Aug 2021

Journal name:

Reduced Bisulfite Sequencing: Quantitative Base-Resolution Sequencing of 5-Formylcytosine.

Authors: MJ Booth, S Balasubramanian

E-pub date: 1 Aug 2021

Journal name: Methods Mol Biol

Predictive modelling of highly multiplexed tumour tissue images by graph neural networks

Authors: P Martin-Gonzalez, M Crispin-Ortuzar, F Markowetz

E-pub date: 30 Jul 2021

Journal name:

Allele-specific multi-sample copy number segmentation in ASCAT.

Authors: EM Ross, K Haase, P Van Loo, F Markowetz

E-pub date: 27 Jul 2021

Journal name: Bioinformatics

Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer

Authors: M Crispin-Ortuzar, R Woitek, E Moore, M Reinius, L Beer, V Bura, L Rundo, C...

E-pub date: 23 Jul 2021

Journal name:

Absolute copy number fitting from shallow whole genome sequencing data

Authors: C Sauer, M Eldridge, M Vias, J Hall, S Boyle, G Macintyre, T Bradley, F Mar...

E-pub date: 20 Jul 2021

Journal name:

PathML: A unified framework for whole-slide image analysis with deep learning

Authors: A Berman, W Orchard, M Gehrung, F Markowetz

E-pub date: 13 Jul 2021

Journal name:

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Innovating Metabolic Biomarkers for Hyperpolarized NMR

Autophagy and senescence, converging roles in pathophysiology as seen through mouse models.

Reduced Bisulfite Sequencing: Quantitative Base-Resolution Sequencing of 5-Formylcytosine.

Predictive modelling of highly multiplexed tumour tissue images by graph neural networks

Allele-specific multi-sample copy number segmentation in ASCAT.

Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer

Absolute copy number fitting from shallow whole genome sequencing data

PathML: A unified framework for whole-slide image analysis with deep learning

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Filters

Research Groups

Core Facilities

Start date

End date

Innovating Metabolic Biomarkers for Hyperpolarized NMR

Autophagy and senescence, converging roles in pathophysiology as seen through mouse models.

Reduced Bisulfite Sequencing: Quantitative Base-Resolution Sequencing of 5-Formylcytosine.

Predictive modelling of highly multiplexed tumour tissue images by graph neural networks

Allele-specific multi-sample copy number segmentation in ASCAT.

Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer

Absolute copy number fitting from shallow whole genome sequencing data

PathML: A unified framework for whole-slide image analysis with deep learning