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Steve Lee

dblp:12/9727 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2Databases, data management, data science and information retrieval · 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%
Databases, data mining, and information retrieval
1 paper
Query processing and optimization · 77% Data stream processing · 23%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
cancer genomics
0.212016
Canvas: versatile and scalable detection of copy number variants · Bioinform. 2016
Bioinformatics and computational biology › cancer genomics › copy number analysis
copy number variation detection
0.212016
Canvas: versatile and scalable detection of copy number variants · Bioinform. 2016
Bioinformatics and computational biology
genomics
0.212016
Canvas: versatile and scalable detection of copy number variants · Bioinform. 2016
Bioinformatics and computational biology › genomics › structural variation
structural variation detection
0.212016
Canvas: versatile and scalable detection of copy number variants · Bioinform. 2016
Query processing and optimization
probabilistic query processing
0.112011
Fuzzy prophet: parameter exploration in uncertain enterprise scenarios · SIGMOD Conference 2011

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

sequencing coverage analysis · 0.2monte carlo simulation · 0.1fingerprinting · 0.1
YearPublicationVenuePosition
2016 Canvas: versatile and scalable detection of copy number variants
abstract
MOTIVATION: Versatile and efficient variant calling tools are needed to analyze large scale sequencing datasets. In particular, identification of copy number changes remains a challenging task due to their complexity, susceptibility to sequencing biases, variation in coverage data and dependence on genome-wide sample properties, such as tumor polyploidy or polyclonality in cancer samples. RESULTS: We have developed a new tool, Canvas, for identification of copy number changes from diverse sequencing experiments including whole-genome matched tumor-normal and single-sample normal re-sequencing, as well as whole-exome matched and unmatched tumor-normal studies. In addition to variant calling, Canvas infers genome-wide parameters such as cancer ploidy, purity and heterogeneity. It provides fast and easy-to-run workflows that can scale to thousands of samples and can be easily incorporated into variant calling pipelines. AVAILABILITY AND IMPLEMENTATION: Canvas is distributed under an open source license and can be downloaded from https://github.com/Illumina/canvas CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Eric Roller, Sergii Ivakhno, Steve Lee, Thomas Royce, Stephen Tanner
Bioinform.3
2012 Integrating Research Recruitment into a Clinical Patient Portal
Luke V. Rasmussen, David Were, Jeff Lunt, Steve Lee, Carl Christensen, Warren A. Kibbe, Justin Starren
AMIA4
2011 Fuzzy prophet: parameter exploration in uncertain enterprise scenarios
abstract
We present Fuzzy Prophet, a probabilistic database tool for constructing, simulating and analyzing business scenarios with uncertain data. Fuzzy Prophet takes externally defined probability distribution (so called VG-Functions) and a declarative description of a target scenario, and performs Monte Carlo simulation to compute probability distribution of the scenario's outcomes. In addition, Fuzzy Prophet supports parameter optimization,where probabilistic models are parameterized and a large parameter space must be explored to find parameters that optimize or achieve a desired goal. Fuzzy Prophet's key innovation is to use 'fingerprints' that can identify parameter values producing correlated outputs of a user-provided stochastic function and to reuse computations across such values. Fingerprints significantly expedite the process of parameter exploration in offline optimization and interactive what-if exploration tasks.
Oliver Kennedy, Steve Lee, Charles Loboz, Slawek Smyl, Suman Nath
SIGMOD Conference2