Article

Moana: A robust and scalable cell type classification framework for single-cell RNA-Seq data

2018-10-30

Abstract excerpt

Single-cell RNA-Seq (scRNA-Seq) enables the systematic molecular characterization of heterogeneous tissues at an unprecedented resolution and scale. However, it is currently unclear how to establish formal cell type definitions, which impedes the systematic analysis of scRNA-Seq data across experiments and studies. To address this challenge, we have developed Moana , a hierarchical machine learning framework that...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4b05afcb-a8de-55a1-94cb-4c3be9c0dbce
DOI: 10.1101/456129

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Moana: A robust and scalable cell type classification framework for single-cell RNA-Seq dataDOI 10.1101/456129Read

Automatic cell type harmonization and integration across Human Cell Atlas datasetsSemantic proximity Read

Automated identification of Cell Types in Single Cell RNA SequencingSemantic proximity Read

Unveiling Gene Modules at Atlas Scale through Hierarchical Clustering of Single-Cell DataSemantic proximity Read

Cross-tissue immune cell analysis reveals tissue-specific adaptations and clonal architecture in humansSemantic proximity Read

Multimodal hierarchical classification of CITE-seq data delineates immune cell states across lineages and tissuesSemantic proximity Read

scQuery: a web server for comparative analysis of single-cell RNA-seq dataSemantic proximity Read

<i>Besca</i> , a single-cell transcriptomics analysis toolkit to accelerate translational researchSemantic proximity Read

Optimized Detection and Inference of Names in scRNA-seq dataSemantic proximity Read

Single-cell mapper (scMappR): using scRNA-seq to infer cell-type specificities of differentially expressed genesSemantic proximity Read

<i>Cytocipher</i> determines significantly different populations of cells in single cell RNA-seq dataSemantic proximity Read

Highly accurate estimation of cell type abundance in bulk tissues based on single-cell reference and domain adaptive matchingSemantic proximity Read

Cell type classification and discovery across diseases, technologies and tissues reveals conserved gene signatures and enables standardized single-cell readoutsSemantic proximity Read