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Sheila Shurtleff

dblp:93/7069 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—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 · 75% Computational science and engineering · 25%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
cancer genomics
0.112009
Reference alignment of SNP microarray signals for copy number analysis of tumors · Bioinform. 2009
Bioinformatics and computational biology › cancer genomics
copy number analysis
0.112009
Reference alignment of SNP microarray signals for copy number analysis of tumors · Bioinform. 2009
Bioinformatics and computational biology › gene expression analysis
microarray data analysis
0.112009
Reference alignment of SNP microarray signals for copy number analysis of tumors · Bioinform. 2009
Computational science and engineering
signal alignment
0.112009
Reference alignment of SNP microarray signals for copy number analysis of tumors · Bioinform. 2009

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

reference selection algorithm · 0.1reference alignment procedure · 0.1
YearPublicationVenuePosition
2009 Reference alignment of SNP microarray signals for copy number analysis of tumors
abstract
UNLABELLED: A new procedure to align single nucleotide polymorphism (SNP) microarray signals for copy number analysis is proposed. For each individual array, this reference alignment procedure (RAP) uses a set of selected markers as internal references to direct the signal alignment. RAP aligns the signals so that each array has a similar signal distribution among its reference markers. An accompanying reference selection algorithm (RSA) uses genotype calls and initial signal intensities to choose two-copy markers as the internal references for each array. After RSA and RAP are applied, each array has a similar distribution of signals of two-copy markers so that across-array signal comparisons are biologically meaningful. An upper bound for a statistical metric of signal misalignment is derived and provides a theoretical basis to choose RSA-RAP over other alignment procedures for copy number analysis of cancers. In our study of acute lymphoblastic leukemia, RSA-RAP gives copy number analysis results that show substantially better concordance with cytogenetics than do two other alignment procedures. AVAILABILITY: Documented R code is freely available from www.stjuderesearch.org/depts/biostats/refnorm.
Stan Pounds, Charles Mullighan, Susana C. Raimondi, Sheila Shurtleff, James R. Downing
Bioinform.5