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DSTC-OMICS-2608 Open Online Doctoral / R&D Specialist 3 Days · Live + Recorded

AI-Powered Multi-Omics Data Integration for Biomarker Discovery

by - DSTC

Integrate genomics, transcriptomics and proteomics with AI to discover robust biomarkers.

Starting from ₹1,699+GST

Register Now

Core Parameters

Level:
Doctoral / R&D Specialist
Duration / Workload:
3 Days · Live + Recorded (12 Hrs Total)
Venue Mode:
Online
Prerequisites:
PhD candidates, postdoctoral researchers, academic faculty, and industry R&D teams.

📅 Important Schedule Dates (Tentative)

Session Commencement (Tentative):
05 Aug 2026 · 8:00 PM IST
Session Conclusion (Tentative):
07 Aug 2026 · 8:00 PM IST
Enrollment Deadline (Tentative):
04 Aug 2026
Schedule Note: This schedule is tentative and subject to minor adjustments. Once the program registrations go live, all finalized dates and times will be sent to registered interest leads.

🎯 Program Aim

Participants learn to integrate heterogeneous omics layers using machine-learning frameworks to identify and validate candidate biomarkers for disease stratification and precision medicine.

📋 Workshop Objectives

Preprocess and normalize multi-omics datasets
Apply dimensionality reduction (PCA, UMAP) across layers
Use similarity-network fusion and MOFA for integration
Train classifiers for biomarker prioritization
Interpret models with feature-importance and pathway enrichment

👥 Who Should Enroll?

PhD scholars and postdocs in systems biology
Bioinformaticians and computational biologists
Clinical researchers in precision medicine
Pharma R&D data scientists

🚀 Key Learning Outcomes

A reproducible multi-omics integration pipeline
Prioritized biomarker candidate lists
Skills in MOFA / SNF / mixOmics
Verified e-Certificate of Industrial Competency

💎 What You'll Gain from this Program

🎥
Live & Recorded Sessions
Lifetime access to class recordings
🎓
e-Certificate upon Completion
Cryptographically verified credentials
💬
Post-Workshop Query Support
Direct chat access to mentors & council
💻
Hands-On Learning Experience
Step-by-step Jupyter notebooks & code

Curriculum Outline

Day 1 Data

Omics Preprocessing

QC, normalization and batch-effect correction across genomics, transcriptomics and proteomics matrices.

Day 2 Integration

Multi-Omics Fusion

MOFA, similarity-network fusion and canonical correlation for joint latent structure discovery.

Day 3 Discovery

Biomarker Modeling

Supervised prioritization, cross-validation, pathway enrichment and biological interpretation.

Integrate genomics, transcriptomics and proteomics with AI to discover robust biomarkers.

Participants learn to integrate heterogeneous omics layers using machine-learning frameworks to identify and validate candidate biomarkers for disease stratification and precision medicine.

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Scholar Registration

For scholars whose department, college or employer pays the fee. We raise a proforma invoice to your institution; you attach the signed processing letter or bank slip.

The proforma invoice is emailed here as well as to you.
📄 Upload Sponsorship Slip / Letter

Signed letter on official letterhead, or the bank transfer slip. PDF/JPG/PNG, up to 5 MB.

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