Tara L. Naylor

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dblp:89/4967 · 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 4 heaviest of 4, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Bioinformatics and computational biology cancer genomics	0.1	1	2005	CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data · Bioinform. 2005
Bioinformatics and computational biology comparative genomic hybridization	0.1	1	2005	CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data · Bioinform. 2005
Bioinformatics and computational biology › cancer genomics copy number analysis	0.1	1	2005	CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data · Bioinform. 2005
Bioinformatics and computational biology › gene expression analysis microarray data analysis	0.1	1	2005	CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data · Bioinform. 2005

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

hierarchical clustering · 0.1

Year	Publication	Venue	Position
2005	CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data abstract SUMMARY: This synopsis provides an overview of array-based comparative genomic hybridization data display, abstraction and analysis using CGHAnalyzer, a software suite, designed specifically for this purpose. CGHAnalyzer can be used to simultaneously load copy number data from multiple platforms, query and describe large, heterogeneous datasets and export results. Additionally, CGHAnalyzer employs a host of algorithms for microarray analysis that include hierarchical clustering and class differentiation. AVAILABILITY: CGHAnalyzer, the accompanying manual, documentation and sample data are available for download at http://acgh.afcri.upenn.edu. This is a Java-based application built in the framework of the TIGR MeV that can run on Microsoft Windows, Macintosh OSX and a variety of Unix-based platforms. It requires the installation of the free Java Runtime Environment 1.4.1 (or more recent) (http://www.java.sun.com). Adam A. Margolin, Joel Greshock, Tara L. Naylor, Yael Mosse, John M. Maris, Graham Bignell, Alexander I. Saeed, John Quackenbush, Barbara L. Weber	Bioinform.	3