E. Purdom

dblp:75/12 · DBLP profile ↗
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1ranked-venue papers
1as 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 · 1 first-author

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 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › transcriptomics › alternative splicing analysis
alternative splicing detection
0.112008
FIRMA: a method for detection of alternative splicing from exon array data · Bioinform. 2008
Bioinformatics and computational biology › gene expression analysis › microarray data analysis
exon array analysis
0.112008
FIRMA: a method for detection of alternative splicing from exon array data · Bioinform. 2008
Bioinformatics and computational biology
transcriptomics
0.112008
FIRMA: a method for detection of alternative splicing from exon array data · Bioinform. 2008

Methods — techniques the papers use, named apart from their topics

robust multichip analysis · 0.1
YearPublicationVenuePosition
2008 FIRMA: a method for detection of alternative splicing from exon array data
abstract
MOTIVATION: Analyses of EST data show that alternative splicing is much more widespread than once thought. The advent of exon and tiling microarrays means that researchers now have the capacity to experimentally measure alternative splicing on a genome wide level. New methods are needed to analyze the data from these arrays. RESULTS: We present a method, finding isoforms using robust multichip analysis (FIRMA), for detecting differential alternative splicing in exon array data. FIRMA has been developed for Affymetrix exon arrays, but could in principle be extended to other exon arrays, tiling arrays or splice junction arrays. We have evaluated the method using simulated data, and have also applied it to two datasets: a panel of 11 human tissues and a set of 10 pairs of matched normal and tumor colon tissue. FIRMA is able to detect exons in several genes confirmed by reverse transcriptase PCR. AVAILABILITY: R code implementing our methods is contributed to the package aroma.affymetrix.
E. Purdom, Ken M. Simpson, Mark D. Robinson, J. G. Conboy, A. V. Lapuk, Terence P. Speed
Bioinform.1