
Deciphering RNA splicing logic with interpretable machine learning
Machine learning methods, particularly neural networks trained on large datasets, are transforming how scientists approach…
Machine learning methods, particularly neural networks trained on large datasets, are transforming how scientists approach…
The accurate estimation of cell surface receptor abundance for single cell transcriptomics data is important…
Simple CUT&Tag adaptation gives information about genetic regulatory elements in formalin-fixed tumor samples Formalin-fixed, paraffin-embedded…
Single-cell RNA sequencing (scRNAseq) technologies have been beneficial in revealing and describing cellular heterogeneity within…
A study of brain tissue from living adults provides a rare look into the earliest…
Wheat is a global staple food and plays a pivotal role in the livelihoods of billions of people. Although long non-coding RNAs (lncRNAs)…
During the replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), positive-sense genomic RNA and…
Macrophages are a type of white blood cell that are among the body’s first line…
The Neuroscience Monoclonal Antibody Sequencing Initiative (NeuroMabSeq) is a concerted effort to determine and make…
Neurons stochastically generated up to eight different versions of a protein-regulating neurotransmitter release, which could…