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» Sequence Prediction Based on Monotone Complexity
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BMCBI
2008
72views more  BMCBI 2008»
13 years 10 months ago
HECTAR: A method to predict subcellular targeting in heterokonts
Background: The heterokonts are a particularly interesting group of eukaryotic organisms; they include many key species of planktonic and coastal algae and several important patho...
Bernhard Gschloessl, Yann Guermeur, J. Mark Cock
BMCBI
2006
87views more  BMCBI 2006»
13 years 10 months ago
Prediction of indirect interactions in proteins
Background: Both direct and indirect interactions determine molecular recognition of ligands by proteins. Indirect interactions can be defined as effects on recognition controlled...
Peteris Prusis, Staffan Uhlén, Ramona Petro...
BMCBI
2008
165views more  BMCBI 2008»
13 years 10 months ago
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics
Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
Wiebke Timm, Alexandra Scherbart, Sebastian Bö...
BMCBI
2008
160views more  BMCBI 2008»
13 years 10 months ago
Predicting cancer involvement of genes from heterogeneous data
Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characte...
Ramon Aragues, Chris Sander, Baldo Oliva
BMCBI
2007
157views more  BMCBI 2007»
13 years 10 months ago
Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory
Background: Large-scale sequencing of entire genomes has ushered in a new age in biology. One of the next grand challenges is to dissect the cellular networks consisting of many i...
Feng Luo, Yunfeng Yang, Jianxin Zhong, Haichun Gao...