09/05/2026
๐ป๐งฌ ๐-๐๐๐ฒ ๐๐๐ง๐๐ฌ-๐๐ง ๐๐ง๐ฅ๐ข๐ง๐ ๐๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ ๐๐ข๐จ๐ฆ๐๐ซ๐ค๐๐ซ ๐๐๐๐ง๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ฌ๐ข๐ง๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐ฐ๐ข๐ญ๐ก ๐๐ฒ๐ญ๐ก๐จ๐ง.
The sessions are designed to help participants work confidently with real gene expression data, guiding them from data preparation to model evaluation and biological interpretation.
๐ ๐๐ก๐๐ญ ๐๐จ๐ฎโ๐ฅ๐ฅ ๐๐๐๐ซ๐ง
- Fundamentals of biomarkers and supervised machine learning
- Working with gene expression datasets in Python - Fundamentals of biomarkers and supervised machine learning
- Building and evaluating ML models for biomarker discovery
- Interpreting model outputs to identify biologically relevant biomarkers
๐๐ก๐จ ๐๐ก๐จ๐ฎ๐ฅ๐ ๐๐ญ๐ญ๐๐ง๐: Life science students, bioinformatics and data science learners, and researchers interested in applying machine learning to omics and clinical data.
๐๐บ๐ต๐ฉ๐ฐ๐ฏ ๐ง๐ข๐ฎ๐ช๐ญ๐ช๐ข๐ณ๐ช๐ต๐บ ๐ช๐ด ๐ฉ๐ฆ๐ญ๐ฑ๐ง๐ถ๐ญ ๐ฃ๐ถ๐ต ๐ฏ๐ฐ๐ต ๐ฎ๐ข๐ฏ๐ฅ๐ข๐ต๐ฐ๐ณ๐บ. ๐๐ฉ๐ช๐ด ๐ธ๐ฐ๐ณ๐ฌ๐ด๐ฉ๐ฐ๐ฑ ๐ช๐ด ๐ด๐ถ๐ช๐ต๐ข๐ฃ๐ญ๐ฆ ๐ง๐ฐ๐ณ ๐ฃ๐ฆ๐จ๐ช๐ฏ๐ฏ๐ฆ๐ณ๐ด ๐ข๐ฏ๐ฅ ๐ญ๐ช๐ง๐ฆ ๐ด๐ค๐ช๐ฆ๐ฏ๐ค๐ฆ ๐ณ๐ฆ๐ด๐ฆ๐ข๐ณ๐ค๐ฉ๐ฆ๐ณ๐ด.
๐๐ญ๐๐ ๐๐๐๐๐๐๐๐ ๐
๐๐๐๐๐๐ ๐๐๐
๐๐๐๐๐๐๐๐๐๐๐๐: https://forms.gle/m7gh1sik7WF84Tbb9
๐
Dates: November 4 - November 6, 2026
๐ Time: 7:30 PM IST | 8:00 AM CST
๐ Location: Online
๐ Share this post with colleagues who may be interested in biomarker discovery and machine learning applications in biology.