Research graph
References from Wide and deep learning for automatic cell type identification. Local targets link to admitted publications; unresolved targets remain external evidence.
Robust enumeration of cell subsets from tissue expression profiles
2015 · External reference
10.1093/bioinformatics/btz363
10.1093/bioinformatics/btz363 · External reference
10.1093/nar/gkz543
10.1093/nar/gkz543 · External reference
10.1038/s41590-018-0276-y
10.1038/s41590-018-0276-y · External reference
A comparison of automatic cell identification methods for single-cell rna sequencing data
10.1186/s13059-019-1795-z · 2019 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
10.1038/s41591-019-0522-3
10.1038/s41591-019-0522-3 · External reference
10.1038/nmeth.2639
10.1038/nmeth.2639 · External reference
10.1016/j.celrep.2012.08.003
10.1016/j.celrep.2012.08.003 · External reference
Quantitative single-cell rna-seq with unique molecular identifiers
10.1038/nmeth.2772 · 2014 · External reference
10.1038/nprot.2014.006
10.1038/nprot.2014.006 · External reference
10.1016/j.cell.2015.05.002
10.1016/j.cell.2015.05.002 · External reference
10.1038/ncomms14049
10.1038/ncomms14049 · External reference
10.1016/j.molcel.2018.10.020
10.1016/j.molcel.2018.10.020 · External reference
A single-cell sequencing guide for immunologists
10.3389/fimmu.2018.02425 · 2018 · External reference
10.1038/s41467-019-12266-7
10.1038/s41467-019-12266-7 · External reference
Single-cell rna-seq technologies and related computational data analysis
10.3389/fgene.2019.00317 · 2019 · External reference
10.1109/iciibms.2018.8549986
10.1109/iciibms.2018.8549986 · External reference
10.1109/ccdc.2017.7979332
10.1109/ccdc.2017.7979332 · External reference
10.1109/mci.2018.2840738
10.1109/mci.2018.2840738 · External reference
10.1109/ccaa.2017.8229841
10.1109/ccaa.2017.8229841 · 2017 · External reference
10.1093/bioinformatics/btz342
10.1093/bioinformatics/btz342 · External reference
Recent advances of deep learning in bioinformatics and computational biology
10.3389/fgene.2019.00214 · 2019 · External reference
10.1016/j.drudis.2018.01.039
10.1016/j.drudis.2018.01.039 · External reference
10.1145/2988450.2988454
10.1145/2988450.2988454 · External reference
10.1016/j.cell.2019.05.031
10.1016/j.cell.2019.05.031 · External reference
10.1126/science.aad0501
10.1126/science.aad0501 · External reference
Deep learning with Keras
2017 · External reference
Unresolved reference
External reference
10.1016/j.patrec.2005.10.010
10.1016/j.patrec.2005.10.010 · External reference
Unresolved reference
External reference
10.1023/a:1010920819831
10.1023/a:1010920819831 · External reference
Dropout: A simple way to prevent neural networks from overfitting
2014 · External reference
Improving interpretability and regularization in deep learning
10.1109/taslp.2017.2774919 · 2018 · External reference
10.1093/bioinformatics/btq134
10.1093/bioinformatics/btq134 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
1993 · External reference
Massively parallel digital transcriptional profiling of single cells
10.1038/ncomms14049 · 2017 · External reference
A comparison of automatic cell identification methods for single-cell rna sequencing data
10.1186/s13059-019-1795-z · 2019 · External reference
Deep learning enables accurate clustering with batch effect removal in single-cell rna-seq analysis
10.1038/s41467-020-15851-3 · 2020 · External reference