Systems Biology in Bioinformatics
Systems biology includes the study of systems of biological components, which may be molecules, cells, organisms or entire species. Systems Biology deals with data and models at many different scales, from individual molecules through to whole organisms. Computational systems biology addresses questions fundamental to our understanding of life and progress here will lead to practical innovations in medicine, drug discovery and engineering. It aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. Systems Biology approach harnesses the power of computation and systems-level analyses to formulate and solve critical biological problems. This integrative approach of systems biology will close the loop from individual genetics to populations, and constitute the strongest asset for the successful translation of systems biology findings to clinical applications.
- Cancer systems biology
- Systems theory for complex dynamical systems
- Machine learning algorithm
Related Conference of Systems Biology in Bioinformatics
7th Annual Summit on Satellite and Space Communication Technology
14th Global Summit on Artificial Intelligence and Neural Networks
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
Systems Biology in Bioinformatics Conference Speakers
Recommended Sessions
- Bayesian statistics
- Big Data Applications
- Big Data in Nursing Research
- Bioinformatics Algorithms & Databases
- Biometric security
- Biostatistics - An Approach to Bioinformatics
- Biostatistics applications
- Clinical Biostatistics
- Data Mining Applications in Science, Engineering, Healthcare and Medicine
- Data Mining for Cyber Security
- Modern data analysis
- Regression Analysis
- Statistical Methods
- Structural Bioinformatics
- Systems Biology in Bioinformatics
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