Colin Cooper

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Phone2246
EmailColin.Cooperuea.acuk

2.08 Bob Champion Research & Education Bldg

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31 Active
37 Finished

A PhD applying machine learning techniques to Next Generation Sequencing Big Data to improve the prediction of prostate cancer patient outcome.
Brewer, D. & Cooper, C.
The Big C Appeal
1/10/22 → 30/09/25
Project: Training
New epigenetic markers for prostate cancer detection in black men
Pshezhetskiy, D., Cooper, C., Kulinskaya, E. & Alshaker, H.
Prostate Cancer Research Centre
1/10/22 → 31/03/24
Project: Research
Alan Boswell Group Prostate Cancer Research Fellowship
Cooper, C. & Hurst, R.
The Alan Boswell Group
1/09/22 → 31/08/25
Project: Research
Bob Willis donation
Cooper, C.
The Bob Willis Fund
1/08/22 → 31/07/24
Project: Research
Donations 2022
Cooper, C.
Generic Funder(s)
1/06/22 → 31/05/23
Project: Research

207 Article
3 Letter
3 Review article
2 Chapter
More

Combining molecular subtypes with multivariable clinical models has the potential to improve prediction of treatment outcomes in prostate cancer at diagnosis
Wardale, L., Cardenas, R., Gnanapragasam, V. J., Cooper, C. S., Clark, J. & Brewer, D. S., Jan 2023, In: Current Oncology. 30, 1, p. 157-170 14 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Gene-transcript expression in urine supernatant and urine cell-sediment are different but equally useful for detecting prostate cancer
Yazbek Hanna, M., Winterbone, M., O'Connell, S. P., Olivan, M., Hurst, R., Mills, R., Cooper, C. S., Brewer, D. S. & Clark, J., 1 Feb 2023, In: Cancers. 15, 3, 789.
Research output: Contribution to journal › Article › peer-review

Open Access
File
A model to detect significant prostate cancer integrating urinary peptide and extracellular vesicle RNA data
Connell, S., Frantzi, M., Latosinska, A., Webb, M., Mullen, W., Pejchinovski, M., Salji, M., Mischak, H., Cooper, C., Clark, J. & Brewer, D., 14 Apr 2022, In: Cancers. 14, 8, 1995.
Research output: Contribution to journal › Article › peer-review

Open Access
File

1 Citation (Scopus)

8 Downloads (Pure)
APOBEC3 mutational signatures are associated with extensive and diverse genomic instability across multiple tumour types
Jakobsdottir, G. M., Brewer, D. S., Cooper, C., Green, C. & Wedge, D. C., 21 May 2022, In: BMC Biology. 20, 117.
Research output: Contribution to journal › Article › peer-review

Open Access
File

4 Citations (Scopus)

5 Downloads (Pure)
Microbiomes of urine and the prostate are linked to human prostate cancer risk groups
Hurst, R., Meader, E., Gihawi, A., Rallapalli, G., Clark, J., Kay, G. L., Webb, M., Manley, K., Curley, H., Walker, H., Kumar, R., Schmidt, K., Crossman, L., Eeles, R. A., Wedge, D. C., Lynch, A. G., Massie, C. E., Yazbek-Hanna, M., Rochester, M., Mills, R. D. & 7 others, Mithen, R. F., Traka, M. H., Ball, R. Y., O'Grady, J., Brewer, D. S., Wain, J. & Cooper, C. S., Aug 2022, In: European Urology Oncology. 5, 4, p. 412-419 8 p.
Research output: Contribution to journal › Article › peer-review

The Norfolk-born scientists at the cutting edge of cancer research
Darrell Green & Colin Cooper
27/07/21
1 Media contribution
Press/Media: Press / Media

Colin Cooper

Network

Dive into details

A PhD applying machine learning techniques to Next Generation Sequencing Big Data to improve the prediction of prostate cancer patient outcome.

New epigenetic markers for prostate cancer detection in black men

Alan Boswell Group Prostate Cancer Research Fellowship

Bob Willis donation

Donations 2022

Combining molecular subtypes with multivariable clinical models has the potential to improve prediction of treatment outcomes in prostate cancer at diagnosis

Gene-transcript expression in urine supernatant and urine cell-sediment are different but equally useful for detecting prostate cancer

A model to detect significant prostate cancer integrating urinary peptide and extracellular vesicle RNA data

APOBEC3 mutational signatures are associated with extensive and diverse genomic instability across multiple tumour types

Microbiomes of urine and the prostate are linked to human prostate cancer risk groups

The Norfolk-born scientists at the cutting edge of cancer research

Colin Cooper

Network

Projects

Research output

Press / Media