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» Transmembrane Segment Prediction from Protein Sequence Data
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RECOMB
2005
Springer
15 years 10 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...
PCI
2005
Springer
15 years 3 months ago
Protein Classification with Multiple Algorithms
Nowadays, the number of protein sequences being stored in central protein databases from labs all over the world is constantly increasing. From these proteins only a fraction has b...
Sotiris Diplaris, Grigorios Tsoumakas, Pericles A....
CSB
2004
IEEE
177views Bioinformatics» more  CSB 2004»
15 years 1 months ago
High-Throughput 3D Structural Homology Detection via NMR Resonance Assignment
One goal of the structural genomics initiative is the identification of new protein folds. Sequence-based structural homology prediction methods are an important means for priorit...
Christopher James Langmead, Bruce Randall Donald
BMCBI
2008
160views more  BMCBI 2008»
14 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
BICOB
2009
Springer
15 years 2 months ago
A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants
Protein phosphorylation is a crucial regulatory mechanism in various organisms. With recent improvements in mass spectrometry, phosphorylation site data are rapidly accumulating. D...
Jianjiong Gao, Ganesh Kumar Agrawal, Jay J. Thelen...