Deep Learning DINOv2: Explained DINOv2 is a continuation of the original DINO framework published by Meta in 2021. It improves self-supervised visual learning by producing more semantically meaningful patch-level features—without the need for labeled training data.
Deep Learning Enformer: Effective gene expression prediction from sequence by integrating long-range interactions Paper walkthrough of the Enformer introduced in "Effective gene expression prediction from sequence by integrating long-range interactions" by Avsec et al.
Deep Learning Paper Walkthrough: P-Net - a biologically informed deep neural network for prostate cancer discovery In which I cover a new biologically informed neural network architecture.
Bioinformatics Featured Explained: Deep learning methods for scRNA-seq clustering In which I cover DESC and scDCC (a revamped version of it's predecessor scDeepCluster); two popular deep learning-based methods for embedding single cell RNA-seq (scRNA-seq) data.
