Name: Transcriptomics series: R Stats/ Differential Expression Analysis
Start: 2025-09-23T17:00:00-06:00
End: 2025-09-23T18:30:00-06:00

**🔬📊 R Stats/ Differential Expression Analysis**
Learn the basics of transcriptomics starting from count data and explore essential statistical methods using R!
Whether you're new to RNA-seq or brushing up your skills, this session will walk you through the fundamentals—from preprocessing to differential expression analysis.
No prior experience required. Bring your laptop and curiosity!

Kewalin Samart

Abhirupa Ghosh

Aishwarya Mandava

Janani Ravi

Jade Young

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Technology

Open Source

New Technology

Big Data

Machine Learning

Data Analytics

Data Visualization

Technology Startups

Data Science

Statistical Computing

R Project for Statistical Computing

Aishwarya is a Computational Bioscience PhD student in the Krishnan Lab, DBMI.

Transcriptomics series: R Stats/ Differential Expression Analysis

P12-1203 | (first floor) Anschutz Health Sciences Building (ASHB)

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Transcriptomics series: R Stats/ Differential Expression Analysis

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