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BMCBI
2010
150views more  BMCBI 2010»
13 years 4 months ago
Automatic structure classification of small proteins using random forest
Background: Random forest, an ensemble based supervised machine learning algorithm, is used to predict the SCOP structural classification for a target structure, based on the simi...
Pooja Jain, Jonathan D. Hirst
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 4 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
BMCBI
2010
108views more  BMCBI 2010»
13 years 4 months ago
Predicting changes in protein thermostability brought about by single- or multi-site mutations
Background: An important aspect of protein design is the ability to predict changes in protein thermostability arising from single- or multi-site mutations. Protein thermostabilit...
Jian Tian, Ningfeng Wu, Xiaoyu Chu, Yunliu Fan
RECOMB
2003
Springer
14 years 4 months ago
Approximation of protein structure for fast similarity measures
It is shown that structural similarity between proteins can be decided well with much less information than what is used in common similarity measures. The full C representation c...
Fabian Schwarzer, Itay Lotan
BMCBI
2006
85views more  BMCBI 2006»
13 years 4 months ago
Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy
Background: Understanding how amino acid substitutions affect protein functions is critical for the study of proteins and their implications in diseases. Although methods have bee...
Rui Jiang, Hua Yang, Fengzhu Sun, Ting Chen