[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Walther et al., 2009 - Google Patents

Automatic clustering of flow cytometry data with density‐based merging

Walther et al., 2009

View PDF @Full View
Document ID
15470936146703963026
Author
Walther G
Zimmerman N
Moore W
Parks D
Meehan S
Belitskaya I
Pan J
Herzenberg L
Publication year
Publication venue
Advances in bioinformatics

External Links

Snippet

The ability of flow cytometry to allow fast single cell interrogation of a large number of cells has made this technology ubiquitous and indispensable in the clinical and laboratory setting. A current limit to the potential of this technology is the lack of automated tools for …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30587Details of specialised database models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/28Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/24Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/12Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/20Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for hybridisation or gene expression, e.g. microarrays, sequencing by hybridisation, normalisation, profiling, noise correction models, expression ratio estimation, probe design or probe optimisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Greenwald et al. Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning
Quintelier et al. Analyzing high-dimensional cytometry data using FlowSOM
Walther et al. Automatic clustering of flow cytometry data with density‐based merging
Chen et al. Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM
Höllt et al. Cytosplore: interactive immune cell phenotyping for large single‐cell datasets
Walker et al. Deciphering tissue structure and function using spatial transcriptomics
US10289802B2 (en) Spanning-tree progression analysis of density-normalized events (SPADE)
CN108198621B (en) Database data comprehensive diagnosis and treatment decision method based on neural network
O'Neill et al. Flow cytometry bioinformatics
Qiu et al. Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE
CN113454733A (en) Multi-instance learner for prognostic tissue pattern recognition
Kraus et al. Computer vision for high content screening
Saez-Rodriguez et al. Flexible informatics for linking experimental data to mathematical models via DataRail
CN107391963A (en) Eucaryon based on calculating cloud platform is without ginseng transcript profile interaction analysis system and method
Stöter et al. CellProfiler and KNIME: open source tools for high content screening
Chessel et al. From observing to predicting single-cell structure and function with high-throughput/high-content microscopy
CN108206056B (en) Nasopharyngeal darcinoma artificial intelligence assists diagnosis and treatment decision-making terminal
Chang et al. Crowdsourced geometric morphometrics enable rapid large-scale collection and analysis of phenotypic data
Pretorius et al. A survey of visualization for live cell imaging
Zhao et al. Intelligent upgrading of plant breeding: Decision support tools in the golden seed breeding cloud platform
Pan et al. LinRace: cell division history reconstruction of single cells using paired lineage barcode and gene expression data
Folcarelli et al. Automated flow cytometric identification of disease-specific cells by the ECLIPSE algorithm
CN108320797B (en) Nasopharyngeal carcinoma database and comprehensive diagnosis and treatment decision method based on database
Subrahmanya et al. Advanced machine learning methods for production data pattern recognition
Schraivogel et al. Cell sorters see things more clearly now