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Elliot Marston

dblp:74/1527 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › network bioinformatics › biological network analysis
functional module identification
0.112008
Functional modules integrating essential cellular functions are predictive of the response of leukaemia cells to DNA damage · Bioinform. 2008
Bioinformatics and computational biology › network bioinformatics › biological network analysis › functional module identification
functional module prediction
0.112008
Functional modules integrating essential cellular functions are predictive of the response of leukaemia cells to DNA damage · Bioinform. 2008
Bioinformatics and computational biology
gene expression analysis
0.112008
Functional modules integrating essential cellular functions are predictive of the response of leukaemia cells to DNA damage · Bioinform. 2008
YearPublicationVenuePosition
2008 Functional modules integrating essential cellular functions are predictive of the response of leukaemia cells to DNA damage
abstract
MOTIVATION: Childhood B-precursor lymphoblastic leukaemia (ALL) is the most common paediatric malignancy. Despite the fact that 80% of ALL patients respond to anti-cancer drugs, the patho-physiology of this disease is still not fully understood. mRNA expression-profiling studies that have been performed have not yet provided novel insights into the mechanisms behind cellular response to DNA damage. More powerful data analysis techniques may be required for identifying novel functional pathways involved in the cellular responses to DNA damage. RESULTS: In order to explore the possibility that unforeseen biological processes may be involved in the response to DNA damage, we have developed and applied a novel procedure for the identification of functional modules in ALL cells. We have discovered that the overall activity of functional modules integrating protein degradation and mRNA processing is predictive of response to DNA damage. AVAILABILITY: Supplementary material including R code, additional results, experimental datasets, as well as a detailed description of the methodology are available at http://www.bip.bham.ac.uk/vivo/fumo.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Katrin Sameith, Philipp Antczak, Elliot Marston, Nil Turan, Dieter Maier, Tanja Stankovic, Francesco Falciani
Bioinform.3