EurekAlert!

Revolutionary 'scLENS' unveiled to decode complex single-cell genomic data

(Left) Current dimensionality reduction methods for scRNA-seq data involve conventional data preprocessing steps, such as log normalization, followed by manual selection of signals from the scaled ...
EurekAlert!

Figure 1. Overview of scLENS (single-cell Low-dimensional embedding using the effective Noise Subtract) (IMAGE)

(Left) Current dimensionality reduction methods for scRNA-seq data involve conventional data preprocessing steps, such as log normalization, followed by manual selection of signals from the scaled ...
HealthTech

Perturb-Seq in Practice: Dissecting Gene Function with CRISPR + scRNA-Seq

In modern functional genomics, understanding how specific genes control cellular behavior requires both targeted intervention and high-resolution analysis. That’s where Perturb-Seq comes in—a method ...