Demo Data from SIGIR 2026 / reviewers in the wild / expert
Sheila Shurtleff
dblp:93/7069
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
cancer genomics |
0.1 | 1 | 2009 | Reference alignment of SNP microarray signals for copy number analysis of tumors · Bioinform. 2009 |
Bioinformatics and computational biology › cancer genomics
copy number analysis |
0.1 | 1 | 2009 | Reference alignment of SNP microarray signals for copy number analysis of tumors · Bioinform. 2009 |
Bioinformatics and computational biology › gene expression analysis
microarray data analysis |
0.1 | 1 | 2009 | Reference alignment of SNP microarray signals for copy number analysis of tumors · Bioinform. 2009 |
Computational science and engineering
signal alignment |
0.1 | 1 | 2009 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Reference alignment of SNP microarray signals for copy number analysis of tumorsabstractUNLABELLED: 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 |