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BMCBI
2007
165views more  BMCBI 2007»
14 years 11 months ago
Ab initio identification of human microRNAs based on structure motifs
Background: MicroRNAs (miRNAs) are short, non-coding RNA molecules that are directly involved in post-transcriptional regulation of gene expression. The mature miRNA sequence bind...
Markus Brameier, Carsten Wiuf
BMCBI
2006
119views more  BMCBI 2006»
14 years 11 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
BMCBI
2005
127views more  BMCBI 2005»
14 years 11 months ago
Genomes are covered with ubiquitous 11 bp periodic patterns, the "class A flexible patterns"
Background: The genomes of prokaryotes and lower eukaryotes display a very strong 11 bp periodic bias in the distribution of their nucleotides. This bias is present throughout a g...
Etienne Larsabal, Antoine Danchin
NIPS
2001
15 years 1 months ago
Grammatical Bigrams
Unsupervised learning algorithms have been derived for several statistical models of English grammar, but their computational complexity makes applying them to large data sets int...
Mark A. Paskin
ACL
1998
15 years 1 months ago
Automated Scoring Using A Hybrid Feature Identification Technique
This study exploits statistical redundancy inherent in natural language to automatically predict scores for essays. We use a hybrid feature identification method, including syntac...
Jill Burstein, Karen Kukich, Susanne Wolff, Chi Lu...