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TCBB
2010
80views more  TCBB 2010»
13 years 4 months ago
On the Importance of Comprehensible Classification Models for Protein Function Prediction
—The literature on protein function prediction is currently dominated by works aimed at maximizing predictive accuracy, ignoring the important issues of validation and interpreta...
Alex Alves Freitas, Daniela Wieser, Rolf Apweiler
TCBB
2010
112views more  TCBB 2010»
13 years 24 days ago
A Study of Hierarchical and Flat Classification of Proteins
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan ...
TCBB
2010
98views more  TCBB 2010»
13 years 24 days ago
VARUN: Discovering Extensible Motifs under Saturation Constraints
Abstract-The discovery of motifs in biosequences is frequently torn between the rigidity of the model on the one hand and the abundance of candidates on the other. In particular, m...
Alberto Apostolico, Matteo Comin, Laxmi Parida
TCBB
2010
163views more  TCBB 2010»
13 years 24 days ago
Classification of Protein-Protein Interaction Full-Text Documents Using Text and Citation Network Features
Abstract--We participated (as Team 9) in the Article Classification Task of the Biocreative II.5 Challenge: binary classification of fulltext documents relevant for protein-protein...
Artemy Kolchinsky, Alaa Abi-Haidar, Jasleen Kaur, ...
TCBB
2010
91views more  TCBB 2010»
13 years 24 days ago
SCS: Signal, Context, and Structure Features for Genome-Wide Human Promoter Recognition
This paper integrates the signal, context and structure features for genome-wide promoter recognition, which is critical in many DNA sequence analysis tasks. First, CpG islands ar...
Jia Zeng, Xiaoyu Zhao, Xiao-Qin Cao, Hong Yan