Research graph
References from PCLDA: An interpretable cell annotation tool for single-cell RNA-sequencing data based on simple statistical methods. Local targets link to admitted publications; unresolved targets remain external evidence.
Single-cell sequencing
10.1038/nmeth.2771 · 2014 · External reference
10.1038/nrg.2015.16
10.1038/nrg.2015.16 · External reference
10.1038/nmeth.4220
10.1038/nmeth.4220 · External reference
10.1002/ctm2.694
10.1002/ctm2.694 · External reference
Reconstruction of complex single-cell trajectories using CellRouter
10.1038/s41467-018-03214-y · 2018 · External reference
Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome
10.1038/s41467-021-25805-y · 2021 · External reference
From the health outcomes, policy, and economics (HOPE) collaborative. Understanding heterogeneity in meta-analysis: the role of meta-regression
10.1111/j.1742-1241.2009.02168.x · 2009 · External reference
10.21037/atm.2016.03.37
10.21037/atm.2016.03.37 · External reference
10.15252/msb.20209620
10.15252/msb.20209620 · External reference
Hwa Yang. scClassify: hierarchical classification of cells
2019 · External reference
10.1023/a:1010933404324
10.1023/a:1010933404324 · External reference
10.1016/j.cels.2019.06.004
10.1016/j.cels.2019.06.004 · External reference
Elastic-net regularization in learning theory
10.1016/j.jco.2009.01.002 · 2009 · External reference
10.1038/s41592-019-0535-3
10.1038/s41592-019-0535-3 · External reference
Linear discriminant function analysis in neuropsychological research: some uses and abuses
10.1016/s0010-9452(78)80031-8 · 1978 · External reference
10.1016/j.isci.2020.100914
10.1016/j.isci.2020.100914 · External reference
10.1016/j.csbj.2021.01.015 · Admitted local publication
10.1186/s13059-019-1795-z
10.1186/s13059-019-1795-z · External reference
The role of Occam's Razor in knowledge discovery
10.1023/a:1009868929893 · 1999 · External reference
10.1016/j.cels.2016.08.011
10.1016/j.cels.2016.08.011 · External reference
10.1016/j.cels.2016.09.002
10.1016/j.cels.2016.09.002 · External reference
10.1016/j.cmet.2016.08.018
10.1016/j.cmet.2016.08.018 · External reference
10.1101/gr.212720.116
10.1101/gr.212720.116 · External reference
10.1016/j.cmet.2016.08.020
10.1016/j.cmet.2016.08.020 · External reference
10.1038/s41586-018-0590-4
10.1038/s41586-018-0590-4 · External reference
Author correction: systematic comparison of single-cell and single-nucleus rna-sequencing methods
10.1038/s41587-020-0534-z · 2020 · External reference
10.1038/ncomms14049
10.1038/ncomms14049 · External reference
10.1038/nn.4216
10.1038/nn.4216 · External reference
10.1038/s41586-018-0654-5
10.1038/s41586-018-0654-5 · External reference
10.1038/nn.4495
10.1038/nn.4495 · External reference
10.1038/s41592-019-0425-8
10.1038/s41592-019-0425-8 · External reference
10.1038/s41590-018-0276-y
10.1038/s41590-018-0276-y · External reference
10.1038/nmeth.4644
10.1038/nmeth.4644 · External reference
10.1093/nar/gkz543
10.1093/nar/gkz543 · External reference
Correction: castle - classification of single cells by transfer learning: harnessing the power of publicly available single cell rna sequencing experiments to annotate new experiments
2018 · External reference
Semi-supervised analysis of single cells in silico
2019 · External reference
Integrated analysis of multimodal single-cell data
2021 · External reference
10.1038/s41467-019-09234-6
10.1038/s41467-019-09234-6 · External reference
10.1016/j.celrep.2019.01.079
10.1016/j.celrep.2019.01.079 · External reference
