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Paul-Michael Agapow

dblp:07/2630 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2003
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorApplied, 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%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › single-cell analysis
cell lineage analysis
0.012003
ALES: Cell Lineage Analysis and Mapping of Developmental Events · Bioinform. 2003
Bioinformatics and computational biology
developmental biology
0.012003
ALES: Cell Lineage Analysis and Mapping of Developmental Events · Bioinform. 2003
Visualization and visual analytics
biological data visualization
0.012003
ALES: Cell Lineage Analysis and Mapping of Developmental Events · Bioinform. 2003

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

lineage tree algorithms · 0.1java · 0.1event detection · 0.1
YearPublicationVenuePosition
2003 ALES: Cell Lineage Analysis and Mapping of Developmental Events
abstract
MOTIVATION: Animals build their bodies by altering the fates of cells. The way in which they do so is reflected in the topology of cell lineages and the fates of terminal cells. Cell lineages should, therefore, contain information about the molecular events that determined them. Here we introduce new tools for visualizing, manipulating, and extracting the information contained in cell lineages. Our tools enable us to analyze very large cell lineages, where previously analyses have only been carried out on cell lineages no larger than a few dozen cells. RESULTS: Ales (A Lineage Evaluation System) allows the display, evaluation and comparison of cell lineages with the aim of identifying molecular and cellular events underlying development. Ales introduces a series of algorithms that locate putative developmental events. The distribution of these predicted events can then be compared to gene expression patterns or other cellular characteristics. In addition, artificial lineages can be generated, or existing lineages modified, according to a range of models, in order to test hypotheses about lineage evolution. AVAILABILITY: The program can run on any operating system with a compliant Java 2 environment. Ales is free for academic use and can be downloaded from http://mbi.dkfz-heidelberg.de/mbi/research/cellsim/ales.
Volker Braun, Ricardo B. R. Azevedo, Markus Gumbel, Paul-Michael Agapow, Armand M. Leroi, Hans-Peter Meinzer
Bioinform.4
1996 Computational Brittleness and the Evolution of Computer Viruses
Paul-Michael Agapow
PPSN1