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RECOMB
2009
Springer
14 years 8 months ago
Learning Models for Aligning Protein Sequences with Predicted Secondary Structure
Accurately aligning distant protein sequences is notoriously difficult. A recent approach to improving alignment accuracy is to use additional information such as predicted seconda...
Eagu Kim, Travis J. Wheeler, John D. Kececioglu
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
14 years 8 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
VLSID
2006
IEEE
150views VLSI» more  VLSID 2006»
14 years 8 months ago
A Comprehensive SoC Design Methodology for Nanometer Design Challenges
SoC design methodologies are under constant revision due to adoption of fast shrinking process technologies at nanometer levels. Nanometer process geometries exhibit new complex d...
R. Raghavendra Kumar, Ricky Bedi, Ramadas Rajagopa...
RECOMB
2005
Springer
14 years 8 months ago
Pairwise Local Alignment of Protein Interaction Networks Guided by Models of Evolution
Abstract. With ever increasing amount of available data on protein-protein interaction (PPI) networks and research revealing that these networks evolve at a modular level, discover...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
RECOMB
2005
Springer
14 years 8 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...
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