AI-based biostatistical evaluation in biological sciences for non-statisticians

7 & 8 April 2025

Debora Zoia, CUSO MPS coordinator
Corinne Dentan, CUSO StarOmics coordinator
Emilie Genty, CUSO Microbiology coordinator

Ludwig Hothorn, Leibniz Hannover University, DE

A major complication of the statistical evaluation by non-statisticians is the conversion of an evaluation strategy/model into executable R code. This can now be overcome by specific AI apps, such as Rtutor.ai. Based on experimental data, well organized in xls files, plain English textual instructions are converted into executable R code and the data is evaluated accordingly. The code can then be adapted/extended with certain R skills to generate graphics and tables directly suitable for a paper. The course focuses primarily on significance tests to demonstrate the treatment effects in oneway and multi-way designs with/without repeated measures-typical in molecular plant sciences and biological sciences. First, the appropriate arrangement of the data in xls files from a statistical point of view is explained in detail - this is already modeling. Secondly, some case studies from various experiments from UNIL and UNIGE groups as well as publications from Nature are used to teach the appropriate test/modeling strategy with the help of selected CRAN packages as plain text input. Subsequently, the improvement of the R-code for direct use in papers will be practiced. Finally, examples of overcoming, evaluated by the participants, will be explicitly discussed.

University of Lausanne, Amphipôle 338

Map

Reimbursements for CUSO Students:
Train ticket, 2°class, half-fare from your institution to the place of the activity.

Reimbursement of your travel tickets can be asked online through your MyCUSO. 
See HERE for the procedure.

Deadline for registration: 23.03.25

12 places available for CUSO students (4 for each participating program)

For cancellations after the Deadline of registration or no show: 50 CHF administrative fees

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