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» Optimizing Complex Loss Functions in Structured Prediction
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BMCBI
2007
119views more  BMCBI 2007»
13 years 7 months ago
Efficacy of different protein descriptors in predicting protein functional families
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze...
WABI
2010
Springer
188views Bioinformatics» more  WABI 2010»
13 years 6 months ago
Prediction of RNA Secondary Structure Including Kissing Hairpin Motifs
Abstract. We present three heuristic strategies for folding RNA sequences into secondary structures including kissing hairpin motifs. The new idea is to construct a kissing hairpin...
Corinna Theis, Stefan Janssen, Robert Giegerich
CRYPTO
2007
Springer
133views Cryptology» more  CRYPTO 2007»
14 years 1 months ago
Amplifying Collision Resistance: A Complexity-Theoretic Treatment
We initiate a complexity-theoretic treatment of hardness amplification for collision-resistant hash functions, namely the transformation of weakly collision-resistant hash functio...
Ran Canetti, Ronald L. Rivest, Madhu Sudan, Luca T...
BMCBI
2007
143views more  BMCBI 2007»
13 years 7 months ago
RNAspa: a shortest path approach for comparative prediction of the secondary structure of ncRNA molecules
Background: In recent years, RNA molecules that are not translated into proteins (ncRNAs) have drawn a great deal of attention, as they were shown to be involved in many cellular ...
Yair Horesh, Tirza Doniger, Shulamit Michaeli, Ron...
APBC
2004
116views Bioinformatics» more  APBC 2004»
13 years 9 months ago
Structure-Function Relationship in DNA Sequence Recognition by Transcription Factors
Transcription factors play essential role in the gene regulation in higher organisms, binding to multiple target sequences and regulating multiple genes in a complex manner. In or...
Akinori Sarai, Samuel Selvaraj, M. Michael Gromiha...