Seminar Machine Learning Applications in Bioinformatics Winter Term 2022/2023

Lecturer

Teaching Assistant

• Lea Eckhart, M.Sc.

Prerequisites Important

• Mathematics for Computer Scientists I - III
• Bioinformatics I - II
• Recommended: Statistical Learning I or Machine Learning

Conditions for Certificate

• Searching and studying relevant literature independently
• Respecting all deadlines
• Meeting quality standards for all submissions (e.g. slides)
• Giving a 40min talk
• Attendance at all talks

Registration

Registration is closed! Please note that you can no longer register for this seminar as the maximal number of participants has been reached.

In order to participate in the seminar you are required to attend the first meeting.
There the topics are distributed. No prior reservation is possible.
Due to the corona pandemic, the first meeting will be held via Zoom. If you like to participate, please register via mail (teaching@bioinf.uni-sb.de).
After you received a topic, please confirm your participation in the seminar until February 17th, 2023 via mail to teaching@bioinf.uni-sb.de.
Also, you have to register officially in HISPOS until March 3rd, 2023.

First meeting

Friday, February 10th, 2023, starting at 15:30 s.t.

Topic confirmation

Friday, February 17th, 2023

Deadline HISPOS

Friday, March 3rd, 2023

1st deadline slides

TBA

2st deadline slides

TBA

Talks

Week of March 27th

Checklist for slides

• Plagiarism
  • Absolutely NO plagiarism is allowed.
  • Please make sure you can check all items from the plagirism information check list in supplementary material (1)
• Content
  • Taking care of clarity, cf. supplementary material (3)
  • Outline with Introduction - Materials and Methods - Results - Conclusion/Summary
  • Tell a consistent "story" throughout the talk
  • Motivation of the topic needs to be clear - what is the approach actually used for?
  • Define and explain important biological and mathematical terms
  • Make sure that you are able to explain everything on your slides
  • Optional: appendix with supplementary material
• Layout
  • Overview slide at the beginning of each chapter
  • Little text, no complete sentences
  • Use as many formulas as necessary, but as few as possible
  • Use animations only where they are appropriate (e.g. for illustraion of algorithms or complex issues)
  • Whenever possible, prefer pictures / graphics to text
  • Add references (for information and images)
  • Pagination
  • Use pictures / formulas in high resolution (suited for HD beamer)
• General setting
  • The talk has to be given without reading from prepared text, papers or anything alike
  • Stick to the time limit - neither be too short nor too long
  • Reserve enough time for practicing the talk in advance

Example presentations

Supplementary material

1. Checklist to prevent Plagiarism
2. Turnitin
3. How to give a great scientific talk (Nature)
4. How to give a dynamic scientific presentation (Elsevier)
5. The Craft of Scientific Presentations (Michael Alley)