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CSB
2005
IEEE
136views Bioinformatics» more  CSB 2005»
15 years 12 months ago
An Algebraic Geometry Approach to Protein Structure Determination from NMR Data
Our paper describes the first provably-efficient algorithm for determining protein structures de novo, solely from experimental data. We show how the global nature of a certain ...
Lincong Wang, Ramgopal R. Mettu, Bruce Randall Don...
WABI
2001
Springer
142views Bioinformatics» more  WABI 2001»
15 years 10 months ago
Pattern Matching and Pattern Discovery Algorithms for Protein Topologies
We describe algorithms for pattern matching and pattern learning in TOPS diagrams (formal descriptions of protein topologies). These problems can be reduced to checking for subgrap...
Juris Viksna, David Gilbert
BIBE
2007
IEEE
167views Bioinformatics» more  BIBE 2007»
15 years 10 months ago
Assessing the Performance of Macromolecular Sequence Classifiers
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Cornelia Caragea, Jivko Sinapov, Vasant Honavar, D...
BIBE
2004
IEEE
160views Bioinformatics» more  BIBE 2004»
15 years 10 months ago
A Time Series Analysis of Microarray Data
As the capture and analysis of single-time-point microarray expression data becomes routine, investigators are turning to time-series expression data to investigate complex gene r...
Selnur Erdal, Ozgur Ozturk, David L. Armbruster, H...
CSB
2004
IEEE
164views Bioinformatics» more  CSB 2004»
15 years 10 months ago
Biclustering in Gene Expression Data by Tendency
The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data a...
Jinze Liu, Jiong Yang, Wei Wang 0010