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Centre Award - Studentship 8
Frame, Margaret
(Principal Investigator)
Deanery of Molecular, Genetic and Population Health Sciences
Overview
Fingerprint
Research output
(2)
Project Details
Status
Finished
Effective start/end date
1/09/14
→
30/09/18
Funding
UK-based charities:
£141,390.00
View all
View less
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Classifier
Chemical Compounds
100%
Machine Learning
Medicine & Life Sciences
82%
Transcriptome
Medicine & Life Sciences
67%
Cell Line
Medicine & Life Sciences
43%
Gene Expression
Medicine & Life Sciences
35%
Small Molecule Libraries
Medicine & Life Sciences
34%
Deep Learning
Medicine & Life Sciences
33%
Datasets
Medicine & Life Sciences
30%
Research output
Research output per year
2016
2016
2019
2019
2
Article
Research output per year
Research output per year
Evaluation of machine learning classifiers to predict compound mechanism of action when transferred across distinct cell-lines.
Warchal, S.
,
Dawson, J.
&
Carragher, N.
,
29 Jan 2019
, (E-pub ahead of print)
In:
Slas Discovery.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Classifier
100%
Machine Learning
82%
Cell Line
43%
Small Molecule Libraries
34%
Deep Learning
33%
Tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies
Pearce, D. A.
,
Arthur, L. M.
,
Turnbull, A. K.
,
Renshaw, L.
,
Sabine, V. S.
,
Thomas, J.
,
Bartlett, J.
,
Dixon, M.
&
Sims, A. H.
,
7 Jul 2016
,
In:
Scientific Reports.
7
,
6
, 29434.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Transcriptome
100%
Gene Expression
52%
Biopsy
39%
Neoplasms
35%
Breast Neoplasms
27%