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  • The Barbara K. Ostrom (1978) Bioinformatics and Computing Facility
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      • Getting more out of Microsoft Excel
      • Bioinformatics Applications of Unix
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        • Manipulate alignment files using UNIX commands
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      • UCSC Genome Bioinformatics
        • Interacting with the UCSC Genome Browser
        • Obtaining DNA sequence from the UCSC Database
        • Obtaining genomic data from the UCSC database using table browser queries
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        • Building Network for Your Experimental Data
      • Functional Annotation of Gene Lists
      • Multiple Sequence Alignment
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      • Microarray data processing with R/Bioconductor
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    • Introduction to Unix and KI Computational Resources
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      • Machine Learning with Python
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            • The Logistic Regression Model
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Massachusetts Institute of Technology

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  1. Mini Courses
  2. Python
  3. Machine Learning with Python
  4. Hands-On

Supervised Approaches

PreviousProject IntroductionNextThe Logistic Regression Model

Last updated 5 months ago

We will practice several supervised methods using . Please refer in Chapter 16 of

Biopython
Supervised learning methods
Biopython Tutorial and Cookbook