Demo Data from EDBT 2026 / reviewers in the wild / expert
Martin Lindsay Buist
dblp:97/505 · also Martin L. Buist
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · unresolved
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology
computational systems biology |
0.1 | 1 | 2008 | Reference descriptions of cellular electrophysiology models · Bioinform. 2008 |
Bioinformatics and computational biology › bioinformatics infrastructure
biological data standards |
0.0 | 1 | 2008 | Reference descriptions of cellular electrophysiology models · Bioinform. 2008 |
Methods — techniques the papers use, named apart from their topics
CellML · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Reference descriptions of cellular electrophysiology modelsabstractUNLABELLED: In recent years there has been much development of the fundamental ideas underlying mathematical model curation in regard to models of biology. While much has been achieved in the realms of systems biology and bioinformatics, little progress has been made in relation to cellular electrophysiology modeling. The primary reason for slow progress in this field is the lack of a consistent and machine-readable reference description for a given model. CellML has been widely used to describe mathematical models of cellular electrophysiology in an unambiguous, machine-readable format. Through the use of well-annotated CellML models we propose a standard by which reference descriptions of cellular electrophysiology models can be similarly defined in an unambiguous, software independent, and machine-readable format. Adoption of this standard will provide a consistent technology by which cellular electrophysiology models can be curated. AVAILABILITY: http://www.bioeng.nus.edu.sg/compbiolab/p2/ David P. Nickerson, Alberto Corrias, Martin Lindsay Buist |
Bioinform. | 3 |