Data integration, Modelling and prediction
Data integration is the procedure of combining data generated using a variety of different research various in order to enable detection of underlying themes and in Computational biology and bioinformatics, biological principles. Data Analysis in this arena is dataintensive, which means data sets are large and highly heterogeneous, to create knowledge from data, researchers must integrate these large and diverse datasets. Predictive genomics is at the intersection of multiple disciplines as predictive medicine, translational bioinformatics and personal genomics. Specifically, predictive genomics deals with the future phenotypic outcomes through prediction in areas such as complex multifactorial diseases in humans. Prediction and Modelling involves the use of computer simulations of biological systems, including cellular subsystems, such as the networks of enzymes and metabolites which comprise metabolism, signal transduction pathways and gene technology regulatory networks, to both visualize and analyze the complex connections of these cellular processes.
- Data Modelling Process and Virtualization
- Generic Data Modelling
- Presenting and using the Results of a Predictive model
- Propagation and Consolidation
- Scientific Hypothesis and Prediction
- Judgement-based Prediction
- Supernatural Prediction
- Ecological Models
Related Conference of Data integration, Modelling and prediction
20th World Congress on Tissue Engineering Regenerative Medicine and Stem Cell Research
18th International Conference on Human Genomics and Genomic Medicine
16th International Conference on Human Genetics and Genetic Diseases
19th International Conference on Genomics & Pharmacogenomics
Data integration, Modelling and prediction Conference Speakers
Recommended Sessions
- Animal cells & Microbial Interactions
- Calcium and Cell Function
- Cancer Genomics
- Cell and Immunology
- Cell Cycle and Cytogenetics
- Cell Physiology and Biochemistry
- Cellular Metabolism & Signalling
- Clinical & Pharmacogenomics
- Computational Biology & Next generation sequencing
- Data integration, Modelling and prediction
- Epigenetics & Metagenomics
- Gene expression & Genetic Changes
- Genomic Medicine
- Human Genomics
- Membrane Processes
- Microbial Glycobiology & Genomics
- Molecular Biology & Transcriptomics
- Molecular Biology Techniques
- Molecular Cell Biology
- Plant Biology & Genomics
- Population & Evolutionary Genomics
- Proteomics and Transcriptomics
- Recombinant DNA Technology
- Single Cell biology
- Stem Cells & Tissue Engineering
- Structural & Functional Genomics
- Structural Biology
- Yeast artificial Chromosome
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