Reese, Fairlie

hdWGCNA identifies co-expression networks in high-dimensional transcriptomics data

Morabito, S., Reese, F., Rahimzadeh, N., Miyoshi, E., & Swarup, V. (2023) · Cell Reports Methods

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 773

Spatial and single-nucleus transcriptomic analysis of genetic and sporadic forms of Alzheimer’s disease

Miyoshi, E., Morabito, S., Henningfield, C. M., Das, S., Rahimzadeh, N., Shabestari, S. K., Michael, N., Emerson, N., Reese, F., Shi, Z., et al. (2024) · Nature Genetics

Alzheimer's disease research and treatmentsSingle-cell and spatial transcriptomics

Cited by 115

Mapping and modeling the genomic basis of differential RNA isoform expression at single-cell resolution with LR-Split-seq

Rebboah, E., Reese, F., Williams, K., Balderrama-Gutierrez, G., McGill, C., Trout, D., Rodriguez, I., Liang, H., Wold, B. J., & Mortazavi, A. (2021) · Genome Biology

Single-cell and spatial transcriptomicsRNA Research and Splicing

Cited by 58

Swan: a library for the analysis and visualization of long-read transcriptomes

Reese, F., & Mortazavi, A. (2021) · Bioinformatics

Genomics and Phylogenetic StudiesRNA Research and Splicing

Cited by 29