Research graph
References from A copula-infused graph neural network for cell type classification in single-cell RNA sequencing data. Local targets link to admitted publications; unresolved targets remain external evidence.
Single-cell transcriptomics: Current methods and challenges in data acquisition and analysis
10.3389/fnins.2021.591122 · 2021 · External reference
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10.1186/s13059-019-1862-5 · External reference
A single-cell transcriptomic map of the human and mouse pancreas reveals inter- and intra-cell population structure
2016 · External reference
SPARSim single cell: a count data simulator for scrna-seq data
10.1093/bioinformatics/btz752 · 2019 · External reference
Random search for hyper-parameter optimization
2012 · External reference
Deep learning with graph convolutional networks: an overview and latest applications in computational intelligence
10.1155/2023/8342104 · 2023 · External reference
10.1016/j.gpb.2022.11.011
10.1016/j.gpb.2022.11.011 · External reference
CellVGAE: An unsupervised scRNA-seq analysis workflow with graph attention networks
10.1093/bioinformatics/btab804 · 2021 · External reference
10.1038/nbt.4096
10.1038/nbt.4096 · External reference
A benchmark study of simulation methods for single cell RNA sequencing data
2021 · External reference
Single-cell RNA sequencing: technological progress and biomedical application in cancer research
10.1007/s12033-023-00777-0 · 2023 · External reference
A review of single-cell RNA-seq annotation, integration, and cell-cell communication
2023 · External reference
Learning feature representations with k-means
10.1007/978-3-642-35289-8_30 · 2012 · External reference
A universal framework for single-cell multi-omics data integration with graph convolutional networks
10.1093/bib/bbad081 · 2023 · External reference
Multi-layer perceptron (MLP) neural networks for time series classification
10.1201/9780429321252-7 · 2023 · External reference
Neural architecture search: a survey
2019 · External reference
The use of machine learning to discover regulatory networks controlling biological systems
10.1016/j.molcel.2021.12.011 · 2022 · External reference
Unresolved reference
2016 · External reference
Unresolved reference
2018 · External reference
A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications
10.1186/s13073-017-0467-4 · 2017 · External reference
Graph representation learning for single-cell biology
10.1016/j.coisb.2021.05.008 · 2021 · External reference
Single cell isolation and analysis
2016 · External reference
Evaluation of machine learning approaches for cell-type identification from single-cell transcriptomics data
2021 · External reference
Accurate estimation of cell composition in bulk expression through robust integration of single-cell information
2020 · External reference
Residual correlation in graph neural network regression
2020 · External reference
10.1038/s41592-021-01171-x
10.1038/s41592-021-01171-x · External reference
Abstract lb-012: Single cell RNA-sequencing of multiple myeloma clinical patients for identifying novel immuno-oncology drug targets
10.1158/1538-7445.am2018-lb-012 · 2018 · External reference
Graph attention networks
2020 · External reference
ACTINN: automated identification of cell types in single cell RNA sequencing
10.1093/bioinformatics/btz592 · 2019 · External reference
Unresolved reference
External reference
10.1016/j.cell.2015.05.002
10.1016/j.cell.2015.05.002 · External reference
10.1038/s41587-021-00870-2
10.1038/s41587-021-00870-2 · External reference
10.1038/nmeth.3337
10.1038/nmeth.3337 · External reference
Microfluidics facilitates the development of single-cell RNA sequencing
10.3390/bios12070450 · 2022 · External reference
Supervised classification based on copula functions
10.13053/rcs-133-1-1 · 2017 · External reference
10.1038/nmeth.1253
10.1038/nmeth.1253 · External reference
Deep learning: a comprehensive overview on techniques, taxonomy, applications and research directions
10.1007/s42979-021-00815-1 · 2021 · External reference
Universite Paris
1959 · External reference
A comprehensive comparison of supervised and unsupervised methods for cell type identification in single-cell RNA-seq
2022 · External reference
Singlecellnet: a computational tool to classify single cell RNA-seq data across platforms and across species
2019 · External reference
10.1038/nmeth.1315
10.1038/nmeth.1315 · External reference
10.1126/science.aar4237
10.1126/science.aar4237 · External reference
Pseudo-temporal ordering of individual cells reveals dynamics and regulators of cell fate decisions
10.1038/nbt.2859 · 2014 · External reference
10.1016/s0958-1669(98)80138-9
10.1016/s0958-1669(98)80138-9 · External reference
10.1093/bioinformatics/btv088
10.1093/bioinformatics/btv088 · External reference
Unresolved reference
2023 · External reference
Cell-graphs
10.1145/2960404 · 2016 · External reference
10.1126/science.aat1699
10.1126/science.aat1699 · External reference
Graph convolutional networks: a comprehensive review
10.1186/s40649-019-0069-y · 2019 · External reference
Deep learning based recommender system: A survey and new perspectives
10.1145/3285029 · 2019 · External reference
10.1038/ncomms14049
10.1038/ncomms14049 · External reference
