Related references
Note: Only part of the references are listed.SMILE: mutual information learning for integration of single-cell omics data
Yang Xu et al.
BIOINFORMATICS (2022)
A roadmap for multi-omics data integration using deep learning
Mingon Kang et al.
BRIEFINGS IN BIOINFORMATICS (2022)
Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona
Kai Cao et al.
BIOINFORMATICS (2022)
Intricacies of single-cell multi-omics data integration
Pia Rautenstrauch et al.
TRENDS IN GENETICS (2022)
Bi-order multimodal integration of single-cell data
Jinzhuang Dou et al.
GENOME BIOLOGY (2022)
Computational methods for the integrative analysis of single-cell data
Mattia Forcato et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Ensemble learning models that predict surface protein abundance from single-cell multimodal omics data
Fan Xu et al.
METHODS (2021)
ColorCells: a database of expression, classification and functions of lncRNAs in single cells
Ling-Ling Zheng et al.
BRIEFINGS IN BIOINFORMATICS (2021)
scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder
Bin Yu et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Dynamics of transcriptional and post-transcriptional regulation
Mattia Furlan et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Unsupervised and self-supervised deep learning approaches for biomedical text mining
Mohamed Nadif et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Computational principles and challenges in single-cell data integration
Ricard Argelaguet et al.
NATURE BIOTECHNOLOGY (2021)
Single cell transcriptional and chromatin accessibility profiling redefine cellular heterogeneity in the adult human kidney
Yoshiharu Muto et al.
NATURE COMMUNICATIONS (2021)
Bacteriophage classification for assembled contigs using graph convolutional network
Jiayu Shang et al.
BIOINFORMATICS (2021)
Deep cross-omics cycle attention model for joint analysis of single-cell multi-omics data
Chunman Zuo et al.
BIOINFORMATICS (2021)
Integrated analysis of multimodal single-cell data
Yuhan Hao et al.
CELL (2021)
scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
Qianqian Song et al.
NATURE COMMUNICATIONS (2021)
mbImpute: an accurate and robust imputation method for microbiome data
Ruochen Jiang et al.
GENOME BIOLOGY (2021)
A generalization of t-SNE and UMAP to single-cell multimodal omics
Van Hoan Do et al.
GENOME BIOLOGY (2021)
netNMF-sc: leveraging gene-gene interactions for imputation and dimensionality reduction in single-cell expression analysis
Rebecca Elyanow et al.
GENOME RESEARCH (2020)
Single-cell multimodal omics: the power of many
Chenxu Zhu et al.
NATURE METHODS (2020)
Integrative Methods and Practical Challenges for Single-Cell Multi-omics
Anjun Ma et al.
TRENDS IN BIOTECHNOLOGY (2020)
Unsupervised topological alignment for single-cell multi-omics integration
Kai Cao et al.
BIOINFORMATICS (2020)
scIGANs: single-cell RNA-seq imputation using generative adversarial networks
Yungang Xu et al.
NUCLEIC ACIDS RESEARCH (2020)
SCIM: universal single-cell matching with unpaired feature sets
Stefan G. Stark et al.
BIOINFORMATICS (2020)
Benchmarking of cell type deconvolution pipelines for transcriptomics data
Francisco Avila Cobos et al.
NATURE COMMUNICATIONS (2020)
MOFA plus : a statistical framework for comprehensive integration of multi-modal single-cell data
Ricard Argelaguet et al.
GENOME BIOLOGY (2020)
scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles
Suoqin Jin et al.
GENOME BIOLOGY (2020)
Integrated omics: tools, advances and future approaches
Biswapriya B. Misra et al.
JOURNAL OF MOLECULAR ENDOCRINOLOGY (2019)
Methods to study RNA-protein interactions
Muthukumar Ramanathan et al.
NATURE METHODS (2019)
Integrative single-cell analysis
Tim Stuart et al.
NATURE REVIEWS GENETICS (2019)
Comprehensive Integration of Single-Cell Data
Tim Stuart et al.
CELL (2019)
Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity
Joshua D. Welch et al.
CELL (2019)
Learning common and specific patterns from data of multiple interrelated biological scenarios with matrix factorization
Lihua Zhang et al.
NUCLEIC ACIDS RESEARCH (2019)
Fast, sensitive and accurate integration of single-cell data with Harmony
Ilya Korsunsky et al.
NATURE METHODS (2019)
Dimensionality reduction for visualizing single-cell data using UMAP
Etienne Becht et al.
NATURE BIOTECHNOLOGY (2019)
Assessment of computational methods for the analysis of single-cell ATAC-seq data
Huidong Chen et al.
GENOME BIOLOGY (2019)
Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain
Blue B. Lake et al.
NATURE BIOTECHNOLOGY (2018)
DrImpute: imputing dropout events in single cell RNA sequencing data
Wuming Gong et al.
BMC BIOINFORMATICS (2018)
Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
David van Dijk et al.
CELL (2018)
Highly scalable generation of DNA methylation profiles in single cells
Ryan M. Mulqueen et al.
NATURE BIOTECHNOLOGY (2018)
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
Laleh Haghverdi et al.
NATURE BIOTECHNOLOGY (2018)
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Andrew Butler et al.
NATURE BIOTECHNOLOGY (2018)
SAVER: gene expression recovery for single-cell RNA sequencing
Mo Huang et al.
NATURE METHODS (2018)
Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding
Alexander B. Rosenberg et al.
SCIENCE (2018)
An accurate and robust imputation method scImpute for single-cell RNA-seq data
Wei Vivian Li et al.
NATURE COMMUNICATIONS (2018)
A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility
Darren A. Cusanovich et al.
CELL (2018)
Joint profiling of chromatin accessibility and gene expression in thousands of single cells
Junyue Cao et al.
SCIENCE (2018)
Single-cell transcriptomes identify human islet cell signatures and reveal cell-type specific expression changes in type 2 diabetes
Nathan Lawlor et al.
GENOME RESEARCH (2017)
Simultaneous epitope and transcriptome measurement in single cells
Marlon Stoeckius et al.
NATURE METHODS (2017)
Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortex
Chongyuan Luo et al.
SCIENCE (2017)
Massively parallel digital transcriptional profiling of single cells
Grace X. Y. Zheng et al.
NATURE COMMUNICATIONS (2017)
MATCHER: manifold alignment reveals correspondence between single cell transcriptome and epigenome dynamics
Joshua D. Welch et al.
GENOME BIOLOGY (2017)
A Single-Cell Transcriptome Atlas of the Human Pancreas
Mauro J. Muraro et al.
CELL SYSTEMS (2016)
A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure
Maayan Baron et al.
CELL SYSTEMS (2016)
Design and computational analysis of single-cell RNA-sequencing experiments
Rhonda Bacher et al.
GENOME BIOLOGY (2016)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
Share Paper
