R Codebase for BISCUIT: Infinite Mixture Model to cluster and impute single cells

Authors

Prabhakaran, Sandhya

Azizi, Elham

Carr, Ambrose James

Pe'er, Dana

Description

BISCUIT (Bayesian Inference for Single-cell ClUstering and ImpuTing) provides a method for the iterative normalization and cluster of single-cell gene RNA-seq expression data. BISCUIT eases clustering of cells based on similar gene expression after correcting technical variation. The software uses a Bayesian model and employs a model driven by covariance structures for the normalization and the input...

Subject

Bayes Theorem

Gene Expression Profiling

Transcriptome

Access Rights

Free to All