Manganaro et al., 2005 - Google Patents
Adding semantics to gene expression profiles: new tools for drug discoveryManganaro et al., 2005
- Document ID
- 9083791404727917566
- Author
- Manganaro V
- Paratore S
- Alessi E
- Coffa S
- Cavallaro S
- Publication year
- Publication venue
- Current medicinal chemistry
External Links
Snippet
Gene expression profiles are unveiling a wealth of new potential drug targets for a wide range of diseases, offering new opportunities for drug discoveries. The emerging challenge, however, is the effective selection of the myriad of targets to identify those with the most …
- 230000014509 gene expression 0 title abstract description 75
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/12—Bioinformatics, 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/28—Bioinformatics, 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/22—Bioinformatics, 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/26—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for data visualisation, e.g. graphics generation, display of maps or networks or other visual representations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/12—Computer systems based on biological models using genetic models
- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30533—Other types of queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/70—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds
- G06F19/706—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for drug design with the emphasis on a therapeutic agent, e.g. ligand-biological target interactions, pharmacophore generation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Luan et al. | Clustering of time-course gene expression data using a mixed-effects model with B-splines | |
Liu et al. | An efficient semi-unsupervised gene selection method via spectral biclustering | |
Wirth et al. | Mining SOM expression portraits: feature selection and integrating concepts of molecular function | |
CN107679367B (en) | Method and system for identifying co-regulation network function module based on network node association degree | |
Ye et al. | Towards a quantitative understanding of cell identity | |
Zhu et al. | Sc-gpe: a graph partitioning-based cluster ensemble method for single-cell | |
Moretti et al. | Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution | |
Xu et al. | A gene rank based approach for single cell similarity assessment and clustering | |
Sikora et al. | Induction and selection of the most interesting Gene Ontology based multiattribute rules for descriptions of gene groups | |
Park et al. | Evolutionary fuzzy clustering algorithm with knowledge-based evaluation and applications for gene expression profiling | |
Manganaro et al. | Adding semantics to gene expression profiles: new tools for drug discovery | |
Prieto et al. | Algorithm to find gene expression profiles of deregulation and identify families of disease-altered genes | |
Guan et al. | Grace: a graph-based cluster ensemble approach for single-cell rna-seq data clustering | |
Muszyński et al. | Data mining methods for gene selection on the basis of gene expression arrays | |
Wirth et al. | Analysis of microRNA expression using machine learning | |
Venugopal et al. | Multifactorial Disease Detection Using Regressive Multi-Array Deep Neural Classifier. | |
Cavallaro | Neuronal apoptosis revealed by genomic analysis: Integrating gene expression profiles with functional information | |
Oh et al. | Hybrid clustering of single-cell gene expression and spatial information via integrated NMF and k-means | |
Li et al. | Frequent pattern discovery in multiple biological networks: Patterns and algorithms | |
Tang et al. | Mining multiple phenotype structures underlying gene expression profiles | |
Padma et al. | A modified algorithm for clustering based on particle swarm optimization and K-means | |
Mehan et al. | An integrative network approach to map the transcriptome to the phenome | |
Sikora et al. | Quality improvement of rule-based gene group descriptions using information about GO terms importance occurring in premises of determined rules | |
Lones et al. | A co-evolutionary framework for regulatory motif discovery | |
Bidaut et al. | Bayesian Decomposition analysis of gene expression in yeast deletion mutants |