CountClust – Visualizing the Structure of RNA-seq Expression Data using Grade of Membership Models

December 8, 2016 Leave a comment 4,326 Views

Grade of membership models, also known as “admixture models”, “topic models” or “Latent Dirichlet Allocation”, are a generalization of cluster models that allow each sample to have membership in multiple clusters. These models are widely used in population genetics to ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: Grade of membership models

CountClust – Visualizing the Structure of RNA-seq Expression Data using Grade of Membership Models

IsoSeek – unbiased and UMI-informed sequencing of cell-free miRNAs at single-nucleotide resolution

Cell-level metadata are indispensable for documenting single-cell RNA sequencing datasets

Strategies for detecting and identifying biological signals amidst the variation commonly found in RNA sequencing data

Researchers use single-cell RNA sequencing to create critical new resource to boost coral reef conservation efforts

Sanity – bayesian inference of gene expression states from single-cell RNA-seq data

UT Dallas research advances emerging DNA sequencing technology

Post-doctoral position in computational biology of glioma