AAAAAA

   
Results: 1-10 |
Results: 10
DECIPHERING THE BIOLOGY OF MYCOBACTERIUM-TUBERCULOSIS FROM THE COMPLETE GENOME SEQUENCE (VOL 393, PG 537, 1998)
Authors: COLE ST BROSCH R PARKHILL J GARNIER T CHURCHER C HARRIS D GORDON SV EIGLMEIER K GAS S BARRY CE TEKAIA F BADCOCK K BASHAM D BROWN D CHILLINGWORTH T CONNER R DAVIES R DEVLIN K FELTWELL T GENTLES S HAMLIN N HOLROYD S HORNSBY T JAGELS K KROGH A MCLEAN J MOULE S MURPHY L OLIVER K OSBORNE J QUAIL MA RAJANDREAM MA ROGERS J RUTTER S SEEGER K SKELTON J SQUARES R SQUARES S SULSTON JE TAYLOR K WHITEHEAD S BARRELL BG
Citation: St. Cole et al., DECIPHERING THE BIOLOGY OF MYCOBACTERIUM-TUBERCULOSIS FROM THE COMPLETE GENOME SEQUENCE (VOL 393, PG 537, 1998), Nature, 396(6707), 1998, pp. 190-198
DECIPHERING THE BIOLOGY OF MYCOBACTERIUM-TUBERCULOSIS FROM THE COMPLETE GENOME SEQUENCE
Authors: COLE ST BROSCH R PARKHILL J GARNIER T CHURCHER C HARRIS D GORDON SV EIGLMEIER K GAS S BARRY CE TEKAIA F BADCOCK K BASHAM D BROWN D CHILLINGWORTH T CONNOR R DAVIES R DEVLIN K FELTWELL T GENTLES S HAMLIN N HOLROYD S HORNBY T JAGELS K KROGH A MCLEAN J MOULE S MURPHY L OLIVER K OSBORNE J QUAIL MA RAJANDREAM MA ROGERS J RUTTER S SEEGER K SKELTON J SQUARES R SQUARES S SULSTON JE TAYLOR K WHITEHEAD S BARRELL BG
Citation: St. Cole et al., DECIPHERING THE BIOLOGY OF MYCOBACTERIUM-TUBERCULOSIS FROM THE COMPLETE GENOME SEQUENCE, Nature, 393(6685), 1998, pp. 537
STATISTICAL-MECHANICS OF ENSEMBLE LEARNING
Authors: KROGH A SOLLICH P
Citation: A. Krogh et P. Sollich, STATISTICAL-MECHANICS OF ENSEMBLE LEARNING, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 55(1), 1997, pp. 811-825
NONLINEAR BACKPROPAGATION - DOING BACKPROPAGATION WITHOUT DERIVATIVESOF THE ACTIVATION FUNCTION
Authors: HERTZ J KROGH A LAUTRUP B LEHMANN T
Citation: J. Hertz et al., NONLINEAR BACKPROPAGATION - DOING BACKPROPAGATION WITHOUT DERIVATIVESOF THE ACTIVATION FUNCTION, IEEE transactions on neural networks, 8(6), 1997, pp. 1321-1327
IMPROVING PREDICTION OF PROTEIN SECONDARY STRUCTURE USING STRUCTURED NEURAL NETWORKS AND MULTIPLE SEQUENCE ALIGNMENTS
Authors: RIIS SK KROGH A
Citation: Sk. Riis et A. Krogh, IMPROVING PREDICTION OF PROTEIN SECONDARY STRUCTURE USING STRUCTURED NEURAL NETWORKS AND MULTIPLE SEQUENCE ALIGNMENTS, Journal of computational biology, 3(1), 1996, pp. 163-183
DIRICHLET MIXTURES - A METHOD FOR IMPROVED DETECTION OF WEAK BUT SIGNIFICANT PROTEIN-SEQUENCE HOMOLOGY
Authors: SJOLANDER K KARPLUS K BROWN M HUGHEY R KROGH A MIAN IS HAUSSLER D
Citation: K. Sjolander et al., DIRICHLET MIXTURES - A METHOD FOR IMPROVED DETECTION OF WEAK BUT SIGNIFICANT PROTEIN-SEQUENCE HOMOLOGY, Computer applications in the biosciences, 12(4), 1996, pp. 327-345
HIDDEN MARKOV-MODELS FOR SEQUENCE-ANALYSIS - EXTENSION AND ANALYSIS OF THE BASIC METHOD
Authors: HUGHEY R KROGH A
Citation: R. Hughey et A. Krogh, HIDDEN MARKOV-MODELS FOR SEQUENCE-ANALYSIS - EXTENSION AND ANALYSIS OF THE BASIC METHOD, Computer applications in the biosciences, 12(2), 1996, pp. 95-107
A HIDDEN MARKOV MODEL THAT FINDS GENES IN ESCHERICHIA-COLI DNA
Authors: KROGH A MIAN IS HAUSSLER D
Citation: A. Krogh et al., A HIDDEN MARKOV MODEL THAT FINDS GENES IN ESCHERICHIA-COLI DNA, Nucleic acids research, 22(22), 1994, pp. 4768-4778
HIDDEN MARKOV-MODELS IN COMPUTATIONAL BIOLOGY - APPLICATIONS TO PROTEIN MODELING
Authors: KROGH A BROWN M MIAN IS SJOLANDER K HAUSSLER D
Citation: A. Krogh et al., HIDDEN MARKOV-MODELS IN COMPUTATIONAL BIOLOGY - APPLICATIONS TO PROTEIN MODELING, Journal of Molecular Biology, 235(5), 1994, pp. 1501-1531
BOUNDS ON APPROXIMATE STEEPEST DESCENT FOR LIKELIHOOD MAXIMIZATION INEXPONENTIAL-FAMILIES
Authors: CESABIANCHI N KROGH A WARMUTH MK
Citation: N. Cesabianchi et al., BOUNDS ON APPROXIMATE STEEPEST DESCENT FOR LIKELIHOOD MAXIMIZATION INEXPONENTIAL-FAMILIES, IEEE transactions on information theory, 40(4), 1994, pp. 1215-1218
Risultati: 1-10 |