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CSB
2003
IEEE
110views Bioinformatics» more  CSB 2003»
16 years 16 days ago
Statistical Inference for Well-ordered Structures in Nucleotide Sequences
Distinct, local structures are frequently correlated with functional RNA elements involved in posttranscriptional regulation of gene expression. Discovery of microRNAs (miRNAs) su...
Shu-Yun Le, Jih-H. Chen, Jacob V. Maizel
CBMS
2006
IEEE
16 years 1 months ago
MS2DB: An Algorithmic Approach to Determine Disulfide Linkage Patterns
Determining the number and location of disulfide bonds within a protein provide valuable insight into the protein’s three-dimensional structure. Purely computational methods tha...
Timothy Lee, Rahul Singh, Ten-Yang Yen, Bruce Mach...
CIBCB
2005
IEEE
16 years 26 days ago
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
Eleazar Eskin, Sagi Snir
ISLPED
2004
ACM
108views Hardware» more  ISLPED 2004»
16 years 20 days ago
SEPAS: a highly accurate energy-efficient branch predictor
Designers have invested much effort in developing accurate branch predictors with short learning periods. Such techniques rely on exploiting complex and relatively large structure...
Amirali Baniasadi, Andreas Moshovos
NIPS
2008
15 years 8 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang