Binned multinomial logistic regression for integrative cell-type annotation

Author:

Motwani Keshav1,Bacher Rhonda2,Molstad Aaron J.3

Affiliation:

1. Department of Biostatistics, University of Washington

2. Department of Biostatistics, University of Florida

3. Department of Statistics, University of Florida

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference51 articles.

1. AMEZQUITA, R. A., LUN, A. T., BECHT, E., CAREY, V. J., CARPP, L. N., GEISTLINGER, L., MARINI, F., RUE-ALBRECHT, K., RISSO, D. et al. (2020). Orchestrating single-cell analysis with Bioconductor. Nat. Methods 17 137–145.

2. OBOZINSKI, G., WAINWRIGHT, M. J. and JORDAN, M. I. (2011). Support union recovery in high-dimensional multivariate regression. Ann. Statist. 39 1–47.

3. 10X GENOMICS (2018). 10k PBMCs from a healthy donor—gene expression and cell surface protein. Available at https://support.10xgenomics.com/single-cell-gene-expression/datasets/3.0.0/pbmc_10k_protein_v3.

4. 10X GENOMICS (2019). 5k Peripheral blood mononuclear cells (PBMCs) from a healthy donor with cell surface proteins (v3 chemistry). Available at https://support.10xgenomics.com/single-cell-gene-expression/datasets/3.0.2/5k_pbmc_protein_v3.

5. ABDELAAL, T., MICHIELSEN, L., CATS, D., HOOGDUIN, D., MEI, H., REINDERS, M. J. and MAHFOUZ, A. (2019). A comparison of automatic cell identification methods for single-cell RNA sequencing data. Genome Biol. 20 194.

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