📌About the Event

Biomarker Identification Using Machine Learning with Python is a three-day hands-on online workshop organised by OmicsLogic. The workshop will introduce participants to the use of Python and supervised machine learning techniques for analysing gene-expression data and identifying biologically relevant biomarkers. Participants will learn the complete workflow, including data preparation, feature selection, model building, performance evaluation, biomarker ranking and biological interpretation using real datasets.

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ℹ️ Event Details

• Event type: Three-day hands-on workshop
• Mode of conduct: Online
• Workshop duration: August 17–19, 2026
• Session time: 7:00 PM IST or 8:30 AM CDT
• Tools and technologies: Python, machine learning, gene-expression datasets and data-visualisation techniques
• Learning format: Live instruction combined with hands-on analysis of real biological datasets
• Major topics covered:
  • Introduction to biomarkers and machine learning
  • Supervised and unsupervised learning concepts
  • Python essentials for biomarker analysis
  • Gene-expression data preparation
  • Feature selection and dimensionality reduction
  • Machine-learning models for biomarker discovery
  • Model-performance evaluation

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📅 Important Dates

• Workshop start date: August 17, 2026
• Workshop end date: August 19, 2026
• Workshop time: 7:00 PM IST onwards

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🎯 Eligibility & Rules

• The workshop is suitable for:
  • Undergraduate and postgraduate life-science students
  • Biotechnology and bioinformatics students
  • Computational biology learners
  • Data-science and machine-learning learners interested in biological applications
  • Research scholars and academic researchers
  • Professionals working with omics, clinical or gene-expression data
  • Basic familiarity with Python can be helpful but is not mandatory.

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🏆 Benefits for the Participants

• Participants will receive hands-on exposure to analysing real gene-expression datasets.
• The workshop will help learners build practical knowledge of biomarker identification using Python and machine learning.
• Participants will learn how to preprocess biological data, train machine-learning models and evaluate model performance.
• Learners will gain experience in identifying, ranking and interpreting potentially important biomarkers.
• A certificate of participation or completion is included for participants, as indicated in the organiser’s workshop promotion.