Hybrid Friday Lecture Series
(open to the Rockefeller and Tri-Institutional communities)
Friday, September 22, 2023
Rafael Irizarry, Ph.D.
Chair, Department of Data Science, Dana-Farber Cancer Institute; Professor, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute; Professor, Department of Biostatistics, Harvard T.H. Chan School of Public Health
Statistical Challenges in scRNA-seq and Spatial Transcriptomics Data Analysis
Recommended Readings:
Empirical Articles
Grabski, Isabella N., Kelly Street, and Rafael A. Irizarry. “Significance analysis for clustering with single-cell RNA-sequencing data.” Nature Methods (2023): 1-7.
Grabski, Isabella N., and Rafael A. Irizarry. “A probabilistic gene expression barcode for annotation of cell types from single-cell RNA-seq data.” Biostatistics 23.4 (2022): 1150-1164.
Kiselev, Vladimir Yu, Tallulah S. Andrews, and Martin Hemberg. “Challenges in unsupervised clustering of single-cell RNA-seq data.” Nature Reviews Genetics 20.5 (2019): 273-282.
Townes, F. William, et al. “Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model.” Genome biology 20 (2019): 1-16.
McShane, Lisa M., et al. “Methods for assessing reproducibility of clustering patterns observed in analyses of microarray data.” Bioinformatics 18.11 (2002): 1462-1469.
