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» Minimal Marker Sets to Discriminate Among Seedlines
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CSB
2005
IEEE
129views Bioinformatics» more  CSB 2005»
13 years 10 months ago
Minimal Marker Sets to Discriminate Among Seedlines
Raising seeds for biological experiments is prone to error; a careful experimenter will test in the lab to verify that plants are of the intended strain. Choosing a minimal set of...
Thomas C. Hudson, Ann E. Stapleton, Amy M. Curley
BMCBI
2004
117views more  BMCBI 2004»
13 years 4 months ago
Cancer characterization and feature set extraction by discriminative margin clustering
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
Kamesh Munagala, Robert Tibshirani, Patrick O. Bro...
CIKM
2009
Springer
13 years 11 months ago
Multivariate classification of urine metabolome profiles for breast cancer diagnosis
Background: Diagnosis techniques using urine are non-invasive, inexpensive, and easy to perform in clinical settings. The metabolites in urine, as the end products of cellular pro...
Younghoon Kim, Imhoi Koo, Byung Hwa Jung, Bong Chu...
ICASSP
2011
IEEE
12 years 8 months ago
Spatially-correlated sensor discriminant analysis
A study of generalization error in signal detection by multiple spatially-distributed and -correlated sensors is provided when the detection rule is learned from a finite number ...
Kush R. Varshney
BMCBI
2007
130views more  BMCBI 2007»
13 years 5 months ago
HMM-ModE - Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying e
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...