DDLS Biomarker Discovery: from theory to real world examples
December 6 @ 08:00 – December 8 @ 17:00 CET
National workshop open for PhD students, postdocs, researchers and other employees in all Swedish universities, in need of understanding biomarker research and methods.
Workshop location: SciLifeLab, Tomtebodavägen 23A, Solna
Venue: Air&Fire (G2690) and Milky Way (A2631)
Important dates and information
Application opens: 2023-10-01
Application closes: 2023-10-30
Confirmation to accepted students: 2023-11-15
Course Leaders and teachers: Animesh Acharjee, Clemens Wittenbecher, Markus Mayrhofer, Mun-Gwan Hong, Paul Pyl, Prasoon Agarwal
please contact edu.biomarkers@nbis.se for course-specific questions
Workshop fee
A course fee* of 2000 SEK will be invoiced to accepted participants. The fee includes lunch and coffee.
*Please note that NBIS cannot invoice individuals
Workshop content
The main purpose of this workshop is to provide a good overview of biomarkers and biomarker studies. This workshop will explore recent research, showcasing diverse biomarker applications within clinical trials. Methods employed to identify biomarkers through various omics datasets will be reviewed. Participants will engage in discussion on biomarker studies and data analysis exercises that encompass approaches like machine learning methods and other integrative omics strategies used in biomarker discovery.
Topics covered will include:
- Biomarker study design for “context of use”
- Types of biomarkers, diagnostic, prognostic, and wellness
- Biomarkers are in use for various diseases such as cancer, cardiovascular diseases
- Biomarker discovery from various omics data including proteome, microbiome
- Biomarker and multi-omics data integration
- Machine learning methods, lasso logistic regression and random forest, to identify biomarkers
- Performance indicators, e.g. sensitivity and specificity
- Internal/external validation
Entry requirements
The following is a list of skills required to be able to follow the workshop and complete the exercises:
- Ability to bring your own laptop with R installed for the practical exercises
- Basic Programming/scripting experience in R
- or took an R course NBIS prepared.
Desirable, but not essential, skills increasing the output of the course, include:
- Some basic knowledge of biostatistics
- Previous experience in biomarker-related studies
Due to limited space, the course can accommodate a maximum of 20 participants. If we receive more applications, participants will be selected based on selection criteria, including (but not limited to) correct entry requirements, motivation to attend the course, as well as gender and geographical balance.
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