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Statistics for Molecular Biology and Bioinformatics

Statistics for Molecular Biology and Bioinformatics. Instructor: Ron S. Kenett Email: ron@kpa.co.il Course Website: www.kpa.co.il/biostat Course textbook: MODERN INDUSTRIAL STATISTICS, Kenett and Zacks, Duxbury Press, 1998. Course Syllabus. Understanding Variability

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Statistics for Molecular Biology and Bioinformatics

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  1. Statistics for Molecular Biology and Bioinformatics Instructor: Ron S. Kenett Email: ron@kpa.co.il Course Website: www.kpa.co.il/biostat Course textbook: MODERN INDUSTRIAL STATISTICS, Kenett and Zacks, Duxbury Press, 1998 (c) 2000, Ron S. Kenett, Ph.D.

  2. Course Syllabus • Understanding Variability • Variability in Several Dimensions • Basic Models of Probability • Sampling for Estimation of Population Quantities • Parametric Statistical Inference • Computer Intensive Techniques - Bootstrapping • Multivariate Analysis - Multiple Linear Regression • Sequential Methods - Statistical Process Control • Design of Experiments (c) 2000, Ron S. Kenett, Ph.D.

  3. Course Emphasis • Interpretation of Statistical tools and methods • Reliance on Statistical software (MINITAB) • “Learning by doing” • Interactive classroom environment • Responsibility for the course is shared by: • The instructor • The students • The researchers behind the mini-projects (c) 2000, Ron S. Kenett, Ph.D.

  4. Grading Policy • A mini-project: 2-3 students per project • An exam at the end of the course • Final grade split: 50-50 • Difficulty level of final exam will depend on • level of efforts put into project (c) 2000, Ron S. Kenett, Ph.D.

  5. The mini-project • Defined in collaboration with a researcher • Has to be completed at the end of the semester • Has to be interesting/useful • Should provide opportunity to apply one (or more) • Statistical tool taught in the course (c) 2000, Ron S. Kenett, Ph.D.

  6. The mini-project - 1 (c) 2000, Ron S. Kenett, Ph.D.

  7. The mini-project - 2 (c) 2000, Ron S. Kenett, Ph.D.

  8. The mini-project - 3 (c) 2000, Ron S. Kenett, Ph.D.

  9. The mini-project - 4 The Process of Solving Problems with Statistics (c) 2000, Ron S. Kenett, Ph.D.

  10. Basic concepts and notation Population N Sample n (c) 2000, Ron S. Kenett, Ph.D.

  11. Descriptive Statistics Probability Statistical Inference Population N Sample n (c) 2000, Ron S. Kenett, Ph.D.

  12. Statistical Issues in Life Sciences Design Experiments Synthesize Compare Summarize Track changes Assess Similarities Analyze (c) 2000, Ron S. Kenett, Ph.D.

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