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» Predicting Nucleolar Proteins Using Support-Vector Machines
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115
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ICASSP
2011
IEEE
14 years 7 months ago
Epileptic seizure prediction using the spatiotemporal correlation structure of intracranial EEG
A patient-specific seizure prediction algorithm is proposed that extracts novel multivariate signal coherence features from ECoG recordings and classifies a patient’s pre-seiz...
James R. Williamson, Daniel W. Bliss, David W. Bro...
134
Voted
BMCBI
2008
170views more  BMCBI 2008»
15 years 3 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini
120
Voted
BMCBI
2010
142views more  BMCBI 2010»
15 years 3 months ago
Classification of protein sequences by means of irredundant patterns
Background: The classification of protein sequences using string algorithms provides valuable insights for protein function prediction. Several methods, based on a variety of diff...
Matteo Comin, Davide Verzotto
95
Voted
BMCBI
2007
63views more  BMCBI 2007»
15 years 3 months ago
Prediction of the burial status of transmembrane residues of helical membrane proteins
Background: Helical membrane proteins (HMPs) play a crucial role in diverse cellular processes, yet it still remains extremely difficult to determine their structures by experimen...
Yungki Park, Sikander Hayat, Volkhard Helms
134
Voted
BMCBI
2006
169views more  BMCBI 2006»
15 years 3 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...