Folcarelli et al., 2018 - Google Patents
Automated flow cytometric identification of disease-specific cells by the ECLIPSE algorithmFolcarelli et al., 2018
View HTML- Document ID
- 16134877926254905417
- Author
- Folcarelli R
- Van Staveren S
- Bouman R
- Hilvering B
- Tinnevelt G
- Postma G
- Van Den Brink O
- Buydens L
- Vrisekoop N
- Koenderman L
- Jansen J
- Publication year
- Publication venue
- Scientific reports
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Snippet
Abstract Multicolor Flow Cytometry (MFC)-based gating allows the selection of cellular (pheno) types based on their unique marker expression. Current manual gating practice is highly subjective and may remove relevant information to preclude discovery of cell …
- 201000010099 disease 0 title abstract description 20
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- G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
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- G06F19/24—Bioinformatics, 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
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
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- G06F17/30598—Clustering or classification
- G06F17/30601—Clustering or classification including cluster or class visualization or browsing
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- G06F19/20—Bioinformatics, 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
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- G—PHYSICS
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- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
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