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» Predicting Nucleolar Proteins Using Support-Vector Machines
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ICIP
2002
IEEE
16 years 5 months ago
Content-based image retrieval for digital mammography
In this work, we explore the use of a learning-based framework for retrieval of relevant mammogram images from a database, for purposes of aiding diagnoses. A fundamental issue is...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
122
Voted
BMCBI
2008
94views more  BMCBI 2008»
15 years 3 months ago
Identification of Proteins Secreted by Malaria Parasite into Erythrocyte using SVM and PSSM profiles
Background: Malaria parasite secretes various proteins in infected RBC for its growth and survival. Thus identification of these secretory proteins is important for developing vac...
Ruchi Verma, Ajit Tiwari, Sukhwinder Kaur, Grish C...
128
Voted
BMCBI
2010
114views more  BMCBI 2010»
15 years 3 months ago
Detection of gene orthology from gene co-expression and protein interaction networks
Background: Ortholog detection methods present a powerful approach for finding genes that participate in similar biological processes across different organisms, extending our und...
Fadi Towfic, Susan VanderPlas, Casey A. Oliver, Ol...
160
Voted
IJBRA
2010
121views more  IJBRA 2010»
15 years 2 months ago
Mining Cytochrome b561 proteins from plant genomes
—Cytochrome b561 (Cyt-b561) proteins play important functions in plants such as anti-toxin defense reactions, growth and development, and prevention of damage to plants from exce...
Stephen O. Opiyo, Etsuko N. Moriyama
133
Voted
BMCBI
2010
208views more  BMCBI 2010»
15 years 3 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...