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BMCBI
2008
100views more  BMCBI 2008»
13 years 7 months ago
High-precision high-coverage functional inference from integrated data sources
Background: Information obtained from diverse data sources can be combined in a principled manner using various machine learning methods to increase the reliability and range of k...
Bolan Linghu, Evan S. Snitkin, Dustin T. Holloway,...
BMCBI
2005
89views more  BMCBI 2005»
13 years 7 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
CBMS
2006
IEEE
14 years 1 months ago
Efficient Rotation Invariant Retrieval of Shapes with Applications in Medical Databases
Recognition of shapes in images is an important problem in computer vision with application in various medical problems, including robotic surgery and cell analysis. The similarit...
Selina Chu, Shrikanth S. Narayanan, C. C. Jay Kuo
BIOINFORMATICS
2010
108views more  BIOINFORMATICS 2010»
13 years 5 months ago
Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet
Motivation: Peaks are the key information in Mass Spectrometry (MS) which has been increasingly used to discover diseases related proteomic patterns. Peak detection is an essentia...
Nha Nguyen, Heng Huang, Soontorn Oraintara, An P. ...
BMCBI
2007
157views more  BMCBI 2007»
13 years 7 months ago
Impact of image segmentation on high-content screening data quality for SK-BR-3 cells
Background: High content screening (HCS) is a powerful method for the exploration of cellular signalling and morphology that is rapidly being adopted in cancer research. HCS uses ...
Andrew A. Hill, Peter LaPan, Yizheng Li, Steve Han...