Biotechnology and Machine Learning with SVM and LSS

It is a simple guide or introduction to Biotechnology and Machine Learning with background research, Support Vector Machine explanation, its interpretation in Java called Least Similar Spheres, its implementation and results. Author hopes that this project could be useful to those who want to introduce themselves to bioinformatics, machine learning, SVM and how it could be interpreted.

News, Comments and Updates

Blog posts will start with links including ones to github with original report. The information will further flow as series of diagrams as visual aid followed by chunks of research from original paper. The rest guides or papers to the main topic could be found in last post called "References" together with actual references.

Project Blog Post Links

  • ResearchGate Publication
  • GitHub (code, original report, diagrams and slides)
  • References
  • 2D SVM
  • Multiclass problem
  • Linearly inseparable problem and slack variable
  • Linearly inseparable problem and higher dimensions
  • SVM math
  • LSS introduction
  • Least Similar Spheres main idea
  • Research Abstract
  • Introduction to Biotechnology and Machine Learning
  • Literature review (Machine learning in early/late Biotechnology)
  • Literature review (Machine learning examples taken from biology)
  • Literature review (Machine learning later techniques)
  • Project implementation problem and proposed solution
  • Implementation of LSS Java snippets
  • Methodology
  • Results
  • Evaluation and Conclusion

SVM guides

  • Blog By Alexandre Kowalczyk
  • Slides By R. Berwick
  • Slides By Tingfan Wu
  • Paper By Kristin P. Bennett et al.
  • Paper By Alexander Statnikov et al.
  • Web By BrainVoyager
  • How to use SVM in R
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About Me

Gintaras
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Blog Archive

  • ▼  2016 (19)
    • ▼  June (19)
      • News, Comments and Updates
      • SVM diagrams (SVM 2D)
      • Multi Class Solution
      • Linearly Inseparable and Slack Variable
      • Linearly Inseparable and Higher Dimensions
      • Math of SVM from 2D to (n)D
      • SVM interpretation in Java and start of Least Simi...
      • Least Similar Spheres (LSS)
      • Abstract of the Research about Biotechnology and M...
      • The Introduction to Biotechnology and Machine Lear...
      • Literature Review (Machine Learning in early and l...
      • Literature Review (Machine Learning examples taken...
      • Literature Review (Machine Learning later techniques)
      • Implementation (The Biotechnology and Machine lear...
      • Implementation (LSS Java Snippets)
      • Methodology (Programming Language, Data, Comparison)
      • Results (LSS vs Weka SVM vs R SVM)
      • Evaluation and Conclusion
      • References
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