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» On Complexity Measures for Biological Sequences
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RECOMB
2007
Springer
15 years 11 months ago
GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data
Genetic instability represents an important type of biological markers for cancer and many other diseases. Array Comparative Genome Hybridization (aCGH) is a high-throughput cytoge...
Yanxin Shi, Fan Guo, Wei Wu, Eric P. Xing
ECML
2006
Springer
15 years 3 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
BMCBI
2008
110views more  BMCBI 2008»
14 years 11 months ago
Determining significance of pairwise co-occurrences of events in bursty sequences
Background: Event sequences where different types of events often occur close together arise, e.g., when studying potential transcription factor binding sites (TFBS, events) of ce...
Niina Haiminen, Heikki Mannila, Evimaria Terzi
BIOINFORMATICS
2005
96views more  BIOINFORMATICS 2005»
14 years 11 months ago
BioLingua: a programmable knowledge environment for biologists
BioLingua is an interactive, web-based programming environment that enables biologists to analyze biological systems by combining knowledge and data through direct end-user progra...
J. P. Massar, Michael Travers, Jeff Elhai, Jeff Sh...
ISMB
2000
15 years 19 days ago
Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated
Determination of the functions of all expressed proteins represents one of the major upcoming challenges in computational molecular biology. Since subcellular location plays a cru...
Robert F. Murphy, Michael V. Boland, Meel Velliste