[go: up one dir, main page]

Arena et al., 2002 - Google Patents

A CNN algorithm for real time analysis of DNA microarrays

Arena et al., 2002

View PDF
Document ID
13732380654714308561
Author
Arena P
Fortuna L
Occhipinti L
Publication year
Publication venue
IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

External Links

Snippet

The work focuses on a new approach for DNA-chip image processing by using the cellular neural network (CNN) paradigm. In particular, the work aims to solve the main issues in automatic classification and spot validation that arise during an automatic DNA microarray …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • 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
    • 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
    • G06F19/22Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
    • 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
    • G06F19/18Bioinformatics, 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
    • 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
    • G06F19/24Bioinformatics, 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
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models

Similar Documents

Publication Publication Date Title
Rood et al. Toward a foundation model of causal cell and tissue biology with a Perturbation Cell and Tissue Atlas
Drăghici Data analysis tools for DNA microarrays
US20230054765A1 (en) Base calling using three-dimentional (3d) convolution
Auffray et al. From functional genomics to systems biology: concepts and practices
Marchetti et al. Quantum computing algorithms: getting closer to critical problems in computational biology
BR112020026408A2 (en) generation of training data for sequencing based on artificial intelligence
Arena et al. A CNN algorithm for real time analysis of DNA microarrays
NL2023310B1 (en) Training data generation for artificial intelligence-based sequencing
Shen et al. Neighbor affinity based algorithm for discovering temporal protein complex from dynamic PPI network
Breitling Biological microarray interpretation: the rules of engagement
Arena et al. Cellular neural networks for real-time DNA microarray analysis
US7003403B1 (en) Quantifying gene relatedness via nonlinear prediction of gene
Kostov et al. Cluster analysis of time-dependent crystallographic data: Direct identification of time-independent structural intermediates
DeSalle What’s in a character?
Koo et al. Interpreting deep neural networks beyond attribution methods: quantifying global importance of genomic features
Girke et al. Towards a modeling infrastructure for studying plant cells
Aarif et al. Decoding DNA: Deep learning's impact on genomic exploration
Girija et al. Deep learning for vehement gene expression exploration
WO2021243274A1 (en) Machine learning-based analysis of process indicators to predict sample reevaluation success
Laghaee et al. Artificial intelligence and robotics in high throughput post-genomics
Wang et al. MSCAP: DNA Methylation Age Predictor based on Multiscale Convolutional Neural Network
Arena et al. DNA chip image processing via cellular neural networks
Johnson et al. Recombination rate inference via deep learning is limited by sequence diversity
Guo et al. Exploring Complex Gene Relationships in Brain Cancer Through Graphical Regression
Drabløs et al. Functional genomics by data mining in DNA microarray data