Demo Data from SIGIR 2026 / reviewers in the wild / expert
Carol L. Thompson
dblp:31/4545
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2008
0000-0003-1528-3237ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1Applied, 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.
| Software engineering, system software, and programming languages
1 paper |
Program analysis · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program analysis
data flow analysis |
0.0 | 1 | 1988 | An Efficient Approach to Data Flow Analysis in a Multi Pass Global Optimizer · PLDI 1988 |
Methods — techniques the papers use, named apart from their topics
data flow analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Exploration and visualization of gene expression with neuroanatomy in the adult mouse brainabstractBACKGROUND: Spatially mapped large scale gene expression databases enable quantitative comparison of data measurements across genes, anatomy, and phenotype. In most ongoing efforts to study gene expression in the mammalian brain, significant resources are applied to the mapping and visualization of data. This paper describes the implementation and utility of Brain Explorer, a 3D visualization tool for studying in situ hybridization-based (ISH) expression patterns in the Allen Brain Atlas, a genome-wide survey of 21,000 expression patterns in the C57BL\6J adult mouse brain. RESULTS: Brain Explorer enables users to visualize gene expression data from the C57Bl/6J mouse brain in 3D at a resolution of 100 microm3, allowing co-display of several experiments as well as 179 reference neuro-anatomical structures. Brain Explorer also allows viewing of the original ISH images referenced from any point in a 3D data set. Anatomic and spatial homology searches can be performed from the application to find data sets with expression in specific structures and with similar expression patterns. This latter feature allows for anatomy independent queries and genome wide expression correlation studies. CONCLUSION: These tools offer convenient access to detailed expression information in the adult mouse brain and the ability to perform data mining and visualization of gene expression and neuroanatomy in an integrated manner. Christopher Lau, Lydia Ng, Carol L. Thompson, Sayan D. Pathak, Leonard Kuan, Allan Jones, Michael Hawrylycz |
BMC Bioinform. | 3 |
| 1988 | An Efficient Approach to Data Flow Analysis in a Multi Pass Global Optimizer
Suneel Jain, Carol L. Thompson |
PLDI | 2 |