Scalable pattern recognition algorithms: applications in computational bioloby and bioinformatics /
Maji, Pradipta
Scalable pattern recognition algorithms: applications in computational bioloby and bioinformatics / Pradipta Maji - xvi,,304 páginas: ilustraciones
1.- Introduction to pattern recognition and bioinformatics -- Part I.- Classification
2.- Neural network tree for identification of splice junction and protein coding region DNA -- 3.- Design of string kernel too predict protein functional sites using kernel-based classifiers.-
Part III.-
4.- Rough sets for selection of molecular descriptors to predict biological activity of molecules -- 5.- f-information measures for selection o discriminative genes from microarray data -- 6.- Identification of disease genes using genes expression and protein-protein interaction data -- 7.- Rough sets for insilico identification of differentially.-
Part III.- Clustering.-
8.- Grouping functionally similar genes from microarray data using rough-fuzzy clustering -- 9.- Mutual information based supervised attribute clustering microarray sample classification -- 10.- Possibilistic biclustering for discovering value-coherent overlapping b-biclusters -- 11.- Fuzzy measures and weighted co-occurrence matrix for segmentation of brain MR images.-
9783319056296
CIENCIA DE LA COMPUTACION--RECONOCIMIENTO DE MODELOS
CIENCIA DE LA COMPUTACION--INTELIGENCIA ARTIFICIAL
006.4 / M233
Scalable pattern recognition algorithms: applications in computational bioloby and bioinformatics / Pradipta Maji - xvi,,304 páginas: ilustraciones
1.- Introduction to pattern recognition and bioinformatics -- Part I.- Classification
2.- Neural network tree for identification of splice junction and protein coding region DNA -- 3.- Design of string kernel too predict protein functional sites using kernel-based classifiers.-
Part III.-
4.- Rough sets for selection of molecular descriptors to predict biological activity of molecules -- 5.- f-information measures for selection o discriminative genes from microarray data -- 6.- Identification of disease genes using genes expression and protein-protein interaction data -- 7.- Rough sets for insilico identification of differentially.-
Part III.- Clustering.-
8.- Grouping functionally similar genes from microarray data using rough-fuzzy clustering -- 9.- Mutual information based supervised attribute clustering microarray sample classification -- 10.- Possibilistic biclustering for discovering value-coherent overlapping b-biclusters -- 11.- Fuzzy measures and weighted co-occurrence matrix for segmentation of brain MR images.-
9783319056296
CIENCIA DE LA COMPUTACION--RECONOCIMIENTO DE MODELOS
CIENCIA DE LA COMPUTACION--INTELIGENCIA ARTIFICIAL
006.4 / M233