Methods for constructing and evaluating consensus genomic interval sets
The amount of genomic region data continues to increase. Integrating across diverse
genomic region sets requires consensus regions, which enable comparing regions across …
genomic region sets requires consensus regions, which enable comparing regions across …
[PDF][PDF] Methods for evaluating unsupervised vector representations of genomic regions
Abstract Representation learning models have become a mainstay of modern genomics.
These models are trained to yield vector representations, or embeddings, of various …
These models are trained to yield vector representations, or embeddings, of various …
Fast clustering and cell-type annotation of scATAC data using pre-trained embeddings
Data from the single-cell assay for transposase-accessible chromatin using sequencing
(scATAC-seq) are now widely available. One major computational challenge is dealing with …
(scATAC-seq) are now widely available. One major computational challenge is dealing with …