Tweet
Hi everyone
Instats is excited to offer a 1-day seminar, Single Cell Data Analysis 2.0, livestreaming on November 24 and led by Nikolay Oskolkov from Molecular Biosciences at Lund University and Group Leader (PI) at LIOS. Single-cell technologies are revolutionizing cancer biology, developmental studies, immunology, and beyond, and this intensive workshop equips you with the computational skills needed to harness their full potential. You will follow the complete scRNA-seq workflow—from raw data preprocessing and rigorous quality control through normalization, dimensionality reduction, clustering, differential expression testing, and multi-dataset integration—while gaining fluency with the flagship toolkits Seurat in R and Scanpy in Python. Along the way, Nikolay will demonstrate best-practice visualization strategies for revealing cellular heterogeneity and guide you through real-world case studies that show how cutting-edge single-cell analytics drive scientific discovery.
Sign up today to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit!
Best wishes
Michael Zyphur
Professor and Director
Institute for Statistical and Data Science
Instats is excited to offer a 1-day seminar, Single Cell Data Analysis 2.0, livestreaming on November 24 and led by Nikolay Oskolkov from Molecular Biosciences at Lund University and Group Leader (PI) at LIOS. Single-cell technologies are revolutionizing cancer biology, developmental studies, immunology, and beyond, and this intensive workshop equips you with the computational skills needed to harness their full potential. You will follow the complete scRNA-seq workflow—from raw data preprocessing and rigorous quality control through normalization, dimensionality reduction, clustering, differential expression testing, and multi-dataset integration—while gaining fluency with the flagship toolkits Seurat in R and Scanpy in Python. Along the way, Nikolay will demonstrate best-practice visualization strategies for revealing cellular heterogeneity and guide you through real-world case studies that show how cutting-edge single-cell analytics drive scientific discovery.
Sign up today to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit!
Best wishes
Michael Zyphur
Professor and Director
Institute for Statistical and Data Science
