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References from Exploring the optimization of autoencoder design for imputing single-cell RNA sequencing data. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1038/s12276-018-0071-8
10.1038/s12276-018-0071-8 · External reference
10.1038/s41576-019-0093-7
10.1038/s41576-019-0093-7 · External reference
Single-cell RNA-Seq technologies and related computational data analysis
10.3389/fgene.2019.00317 · 2019 · External reference
10.1093/database/baz046
10.1093/database/baz046 · External reference
Dissecting cellular heterogeneity using single-cell RNA sequencing
2019 · External reference
10.1038/s41576-018-0088-9
10.1038/s41576-018-0088-9 · External reference
10.1038/s41467-020-14766-3
10.1038/s41467-020-14766-3 · External reference
10.1186/s13059-020-1926-6
10.1186/s13059-020-1926-6 · External reference
Statistics or biology: the zero-inflation controversy about scRNA-seq data
10.1186/s13059-022-02601-5 · 2022 · External reference
Screen technical noise in single cell RNA sequencing data
10.1016/j.ygeno.2019.02.014 · 2020 · External reference
10.1038/s41467-018-03405-7
10.1038/s41467-018-03405-7 · External reference
Bayesian inference for single-cell clustering and imputing
10.18547/gcb.2017.vol3.iss1.e46 · 2017 · External reference
Recovering gene interactions from single-cell data using data diffusion
10.1016/j.cell.2018.05.061 · 2018 · External reference
DrImpute: imputing dropout events in single cell RNA sequencing data
10.1186/s12859-018-2226-y · 2018 · External reference
10.1186/s13059-015-0805-z
10.1186/s13059-015-0805-z · External reference
Single-cell RNA-seq denoising using a deep count autoencoder
10.1038/s41467-018-07931-2 · 2019 · External reference
10.1109/tcbb.2018.2848633
10.1109/tcbb.2018.2848633 · External reference
A systematic evaluation of single-cell RNA-sequencing imputation methods
10.1186/s13059-020-02132-x · 2020 · External reference
A statistical simulator scDesign for rational scRNA-seq experimental design
2019 · External reference
Rectified linear units improve restricted boltzmann machines
2010 · External reference
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10.4208/cicp.oa-2020-0165
10.4208/cicp.oa-2020-0165 · External reference
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DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
10.1186/s13059-019-1837-6 · 2019 · External reference
AutoImpute: autoencoder based imputation of single-cell RNA-seq data
10.1038/s41598-018-34688-x · 2018 · External reference
10.15252/msb.20188746
10.15252/msb.20188746 · External reference
Integrated analysis of multimodal single-cell data
2020 · External reference
10.1186/s13059-015-0844-5
10.1186/s13059-015-0844-5 · External reference
10.1038/nmeth.1315
10.1038/nmeth.1315 · External reference
10.1371/journal.pcbi.1006245
10.1371/journal.pcbi.1006245 · External reference
Brief review of image denoising techniques
2019 · External reference
Deep generative modeling for single-cell transcriptomics
10.1038/s41592-018-0229-2 · 2018 · External reference
Using neural networks for reducing the dimensions of single-cell RNA-Seq data
2017 · External reference
Deep learning does not outperform classical machine learning for cell-type annotation
2019 · External reference
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10.1038/s41592-019-0353-7
10.1038/s41592-019-0353-7 · External reference
Optimal maximin L1-distance Latin hypercube designs based on good lattice point designs
2018 · External reference
Construction of orthogonal symmetric Latin hypercube designs
2018 · External reference
A class of multilevel nonregular designs for studying quantitative factors
2022 · External reference
Fractional factorial designs for Fourier-cosine models
2022 · External reference
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10.1038/nature14539
10.1038/nature14539 · External reference
10.1109/5.58337
10.1109/5.58337 · External reference
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10.1007/s40484-019-0192-7
10.1007/s40484-019-0192-7 · External reference
10.1007/978-0-387-84858-7
10.1007/978-0-387-84858-7 · 2009 · External reference
Dropout: a simple way to prevent neural networks from overfitting
2014 · External reference
10.1093/biostatistics/kxx053
10.1093/biostatistics/kxx053 · External reference
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10.1016/j.patcog.2019.04.014
10.1016/j.patcog.2019.04.014 · External reference
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1994 · External reference
