Demo Data from SIGIR 2026 / reviewers in the wild / expert
J. Coffland
dblp:31/2961
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2004
—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 · 87% Computational science and engineering · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology
gene regulatory network modeling |
0.0 | 1 | 2004 | COMPUCELL, a multi-model framework for simulation of morphogenesis · Bioinform. 2004 |
Bioinformatics and computational biology › systems biology › computational developmental biology
morphogenesis modeling |
0.0 | 1 | 2004 | COMPUCELL, a multi-model framework for simulation of morphogenesis · Bioinform. 2004 |
Computational science and engineering
differential equations |
0.0 | 1 | 2004 | COMPUCELL, a multi-model framework for simulation of morphogenesis · Bioinform. 2004 |
Methods — techniques the papers use, named apart from their topics
state automaton · 0.0reaction-diffusion equations · 0.0ordinary differential equations · 0.0cellular potts model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | COMPUCELL, a multi-model framework for simulation of morphogenesisabstractMOTIVATION: CompuCell is a multi-model software framework for simulation of the development of multicellular organisms known as morphogenesis. It models the interaction of the gene regulatory network with generic cellular mechanisms, such as cell adhesion, division, haptotaxis and chemotaxis. A combination of a state automaton with stochastic local rules and a set of differential equations, including subcellular ordinary differential equations and extracellular reaction-diffusion partial differential equations, model gene regulation. This automaton in turn controls the differentiation of the cells, and cell-cell and cell-extracellular matrix interactions that give rise to cell rearrangements and pattern formation, e.g. mesenchymal condensation. The cellular Potts model, a stochastic model that accurately reproduces cell movement and rearrangement, models cell dynamics. All these models couple in a controllable way, resulting in a powerful and flexible computational environment for morphogenesis, which allows for simultaneous incorporation of growth and spatial patterning. RESULTS: We use CompuCell to simulate the formation of the skeletal architecture in the avian limb bud. AVAILABILITY: Binaries and source code for Microsoft Windows, Linux and Solaris are available for download from http://sourceforge.net/projects/compucell/ Jesús A. Izaguirre, Rajiv Chaturvedi, Chengbang Huang, Trevor M. Cickovski, J. Coffland, Gilberto L. Thomas, Gabor Forgacs, Mark S. Alber, H. George E. Hentschel, Stuart A. Newman, James A. Glazier |
Bioinform. | 5 |