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ICML
2010
IEEE
14 years 10 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
BMCBI
2010
148views more  BMCBI 2010»
14 years 9 months ago
Analysis of interactions between ribosomal proteins and RNA structural motifs
Background: One important goal of structural bioinformatics is to recognize and predict the interactions between protein binding sites and RNA. Recently, a comprehensive analysis ...
Giovanni Ciriello, Claudio Gallina, Concettina Gue...
CPM
2007
Springer
222views Combinatorics» more  CPM 2007»
15 years 3 months ago
Computing Exact p-Value for Structured Motif
Extracting motifs from a set of DNA sequences is important in computational biology. Occurrence probability is a common used statistics to evaluate the statistical significance of...
Jing Zhang, Xi Chen, Ming Li
ISMB
1994
14 years 11 months ago
Knowledge Discovery of Multilevel Protein Motifs
A new category of protein motif is introduced. This type of motif captures, in addition to global structure, the nested structure of its componentparts. Adata.set of four proteins...
Darrell Conklin, Suzanne Fortier, Janice I. Glasgo...
IJKDB
2010
162views more  IJKDB 2010»
14 years 7 months ago
New Trends in Graph Mining: Structural and Node-Colored Network Motifs
Searching for repeated features characterizing biological data is fundamental in computational biology. When biological networks are under analysis, the presence of repeated modul...
Francesco Bruno, Luigi Palopoli, Simona E. Rombo