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J. A. Abele

dblp:38/6292 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—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 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › gene expression analysis
microarray data analysis
0.112005
MAGIC Tool: integrated microarray data analysis · Bioinform. 2005

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

clustering · 0.1
YearPublicationVenuePosition
2005 MAGIC Tool: integrated microarray data analysis
abstract
SUMMARY: Several programs are now available for analyzing the large datasets arising from cDNA microarray experiments. Most programs are expensive commercial packages or require expensive third party software. Some are freely available to academic researchers, but are limited to one operating system. MicroArray Genome Imaging and Clustering Tool (MAGIC Tool) is an open source program that works on all major platforms, and takes users 'from tiff to gif'. Several unique features of MAGIC Tool are particularly useful for research and teaching. AVAILABILITY: http://www.bio.davidson.edu/MAGIC
Laurie J. Heyer, D. Z. Moskowitz, J. A. Abele, P. Karnik, D. Choi, A. Malcolm Campbell, E. E. Oldham, B. K. Akin
Bioinform.3