2. CompLife 2006:
Cambridge, UK
Michael R. Berthold, Robert C. Glen, Ingrid Fischer (Eds.):
Computational Life Sciences II, Second International Symposium, CompLife 2006, Cambridge, UK, September 27-29, 2006, Proceedings.
Lecture Notes in Computer Science 4216 Springer 2006, ISBN 3-540-45767-4
Genomics
- Michael Hirsch, Allan Tucker, Stephen Swift, Nigel J. Martin, Christine A. Orengo, Paul Kellam, Xiaohui Liu:
Improved Robustness in Time Series Analysis of Gene Expression Data by Polynomial Model Based Clustering.
1-10

- Tae-Kyung Kim, Kyoung-Ran Kim, Sang-Keun Oh, Jong-Hak Lee, Wan-Sup Cho:
A Hybrid Grid and Its Application to Orthologous Groups Clustering.
11-20

- Philip J. Uren, R. Mike Cameron-Jones, Arthur H. J. Sale:
Promoter Prediction Using Physico-Chemical Properties of DNA.
21-31

- Liping Du, Shuanhu Wu, Alan Wee-Chung Liew, David Keith Smith, Hong Yan:
Parametric Spectral Analysis of Malaria Gene Expression Time Series Data.
32-41

- Tak-Man Ma, Yuh-Dauh Lyuu, Yen-Wu Ti:
An Efficient Algorithm for Finding Long Conserved Regions Between Genes.
42-51

- Matthias Bernt, Daniel Merkle, Martin Middendorf:
The Reversal Median Problem, Common Intervals, and Mitochondrial Gene Orders.
52-63

Data Mining
- Hamse Y. Mussa, David J. Lary, Robert C. Glen:
Building Structure-Property Predictive Models Using Data Assimilation.
64-73

- Illia Horenko, Johannes Schmidt-Ehrenberg, Christof Schütte:
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models.
74-85

- Igor Trajkovski, Filip Zelezný, Jakub Tolar, Nada Lavrac:
Relational Subgroup Discovery for Descriptive Analysis of Microarray Data.
86-96

- Robert Brijder, Hendrik Jan Hoogeboom, Michael Muskulus:
Applicability of Loop Recombination in Ciliates Using the Breakpoint Graph.
97-106

- Peter Corbett, Peter Murray-Rust:
High-Throughput Identification of Chemistry in Life Science Texts.
107-118

- Tim O. F. Conrad, Alexander Leichtle, Andre Hagehülsmann, Elmar Diederichs, Sven Baumann, Joachim Thiery, Christof Schütte:
Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level.
119-128

Molecular Simulation
Molecular Informatics
Systems Biology
Biological Networks / Metabolism
Computational Neuroscience
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