Machine Learning Technique

The ultimate aim is to implement all the application of computational techniques to problems in the field of life science (biology and medicine). In Future, The Machine Learning Approaches will be In-silico modelling of complete organism’s representation and reasoning at all levels from patient to the molecule from Probabilistic models to the Biochemical Pathways. The Proteomics Industrial Market analysis states that the global Proteomics market is segmented based on instrument technology type, Reagents, Services and by geographic regions of a country. The market was valued at $10,223.0 Million in 2013 and is expected to grow at a healthy CAGR from 2013 to 2018. The North America is accounted for a major share of around 40% of the global market and dominated the Proteomics industrial market in 2013 and will continue to drive and dominate it by 2018. The Thermo Fisher Scientific (U.S) and Agilent (U.S) are some of the leading players in Proteomics instrumentation technology and reagents market. The well-known Institute for Proteomics, Rutgers - Center for Integrative Proteomics Research is also situated at New Jersey, USA.

Some related Conferences:

7th International Conference on Bioinformatics October 27-28, 2016 Chicago, USA; 6th International Conference on Bioinformatics March 29-30, 2016 Valencia, Spain; 5th International Conference on Computational Systems Biology August 22-23, 2016 Philadelphia, USA; 4th International Conference on Bioprocess and Biosystems Engineering October 20-21, 2016 Houston, USA; 2nd International Conference & Exhibition on Tissue preservation and Bio-banking August 18-19, 2016 Portland, USA; 13th Machine Learning and Data Mining Conference July 15 - 19, 2017, Leipzig, Germany; 33rd Machine Learning Conference (ICML-2016) June 19-24, 2016, USA; 13th Neural Information Processing Systems Congress December 04-09, 2016, Spain; 8th Machine Learning and Computing Conference February 22-23, 2016, Hong Kong; Machine Learning Databases Conference September 7-11, 2015 Porto, Portugal.

In biochemistry, a metabolic pathway is a series of chemical reactions occurring within a cell. In a pathway, the initial chemical (metabolite) is modified by a sequence of chemical reactions. These reactions are catalysed by enzymes, where the product of one enzyme acts as the substrate for the next. Proteomics focuses on the high throughput study of the expression, structure, interactions, and, to some extent, function of large numbers of proteins. Machine learning methods for bioinformatics. It presents modelling methods, such as supervised classification, clustering and probabilistic graphical models for knowledge discovery, as well as deterministic and stochastic heuristics for optimization. Applications in genomics, proteomics, systems biology, evolution and text mining are also shown. Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD) an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets ("big data") involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.

  • The Machine learning in bioinformatics
  • Biochemical Pathways
  • The Data Mining Approach
  • Biophysics in Proteomics
  • Biostatistics in Proteomics

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