Duration learning for analysis of nanopore ionic current blockades

BMC Bioinformatics

Volumn 8, Issue SUPPL. 7, 2007, Pages

  Churbanov, Alexander ^a   Baribault, Carl ^b   Winters Hilt, Stephen ^a,b  

^a The Research Institute for Children at Children's Hospital New Orleans   (United States)

^b USA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECAY PROCESS; DISTRIBUTED STATE; DISTRIBUTION PROBABILITY; DNA SEQUENCING; MOLECULAR ANALYSIS; PROPER MODELING; SINGLE-MOLECULE PROPERTIES; TRANSMEMBRANE CHANNELS;

DNA SEQUENCES; EXPERIMENTS; HIDDEN MARKOV MODELS; MOLECULES; PROBABILITY DENSITY FUNCTION; SIGNAL PROCESSING; TOPOLOGY;

NANOPORES;

DNA; APTAMER; BACTERIAL TOXIN; HEMOLYSIN; STAPHYLOCOCCAL ALPHA-TOXIN; STAPHYLOCOCCUS ALPHA TOXIN; UNCLASSIFIED DRUG;

ACCURACY; ALGORITHM; CONFERENCE PAPER; GEOMETRY; HIDDEN MARKOV MODEL; ION CURRENT; KERNEL METHOD; LEARNING; MOLECULAR DYNAMICS; NANOPORE; PROBABILITY; SIGNAL PROCESSING; STATISTICAL ANALYSIS; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CELL MEMBRANE POTENTIAL; CHANNEL GATING; CHEMISTRY; EQUIPMENT; EQUIPMENT DESIGN; GENETIC PROCEDURES; IMMUNOLOGY; INSTRUMENTATION; KINETICS; METHODOLOGY; NANOTECHNOLOGY; POROSITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TRANSDUCER;

ALGORITHMS; APTAMERS, NUCLEOTIDE; ARTIFICIAL INTELLIGENCE; BACTERIAL TOXINS; BIOSENSING TECHNIQUES; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; HEMOLYSIN PROTEINS; ION CHANNEL GATING; KINETICS; MEMBRANE POTENTIALS; NANOTECHNOLOGY; PATTERN RECOGNITION, AUTOMATED; POROSITY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TRANSDUCERS;

EID: 38549120295     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-S7-S14     Document Type: Conference Paper

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