Supervised clustering for single-cell analysis
Sign Up to like & getrecommendations! Published in 2019 at "Nature Methods"
DOI: 10.1038/s41592-019-0534-4
Abstract: A widely used concept from machine learning is put to use for single-cell analysis read more here.
Keywords: single cell; cell analysis; clustering single; supervised clustering ... See more keywords
Clustering Single-Cell Expression Data Using Random Forest Graphs
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2016.2565561
Abstract: Complex tissues such as brain and bone marrow are made up of multiple cell types. As the study of biological tissue structure progresses, the role of cell-type-specific research becomes increasingly important. Novel sequencing technology such… read more here.
Keywords: single cell; cell; cell types; clustering single ... See more keywords
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2021.3098394
Abstract: Clustering single-cell RNA sequence (scRNA-seq) data poses statistical and computational challenges due to their high-dimensionality and data-sparsity, also known as 'dropout' events. Recently, Regularized Auto-Encoder (RAE) based deep neural network models have achieved remarkable success… read more here.
Keywords: clustering single; cell; single cell; cell gene ... See more keywords