scPSD – enhancing the accuracy for cell subtype separation from large-scale single-cell omics data
Emerging single-cell technologies provide high-resolution measurements of distinct cellular modalities opening new avenues for generating…
Browsing: Cell Type Analysis
How machine learning and RNA-seq are helping patients diagnosed with the most common childhood cancer
New software developed by Peter Mac and collaborators is helping patients diagnosed with acute lymphoblastic…
FIRM – Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets
Single-cell RNA-sequencing (scRNA-seq) is being used extensively to measure the mRNA expression of individual cells…