Related references
Note: Only part of the references are listed.Airspace Macrophages and Monocytes Exist in Transcriptionally Distinct Subsets in Healthy Adults
Kara J. Mould et al.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2021)
Probabilistic harmonization and annotation of single-cell transcriptomics data with deep generative models
Chenling Xu et al.
MOLECULAR SYSTEMS BIOLOGY (2021)
Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia
Rogan A. Grant et al.
NATURE (2021)
Joint probabilistic modeling of single-cell multi-omic data with totalVI
Adam Gayoso et al.
NATURE METHODS (2021)
Integrated analysis of multimodal single-cell data
Yuhan Hao et al.
CELL (2021)
Surface protein imputation from single cell transcriptomes by deep neural networks
Zilu Zhou et al.
NATURE COMMUNICATIONS (2020)
Construction of a human cell landscape at single-cell level
Xiaoping Han et al.
NATURE (2020)
Immune cell profiling of COVID-19 patients in the recovery stage by single-cell sequencing
Wen Wen et al.
CELL DISCOVERY (2020)
Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19
Mingfeng Liao et al.
NATURE MEDICINE (2020)
Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment
Jonas Schulte-Schrepping et al.
CELL (2020)
Generalizing RNA velocity to transient cell states through dynamical modeling
Volker Bergen et al.
NATURE BIOTECHNOLOGY (2020)
A single-cell atlas of the peripheral immune response in patients with severe COVID-19
Aaron J. Wilk et al.
NATURE MEDICINE (2020)
Conditional out-of-distribution generation for unpaired data using transfer VAE
Mohammad Lotfollahi et al.
BIOINFORMATICS (2020)
A molecular cell atlas of the human lung from single-cell RNA sequencing
Kyle J. Travaglini et al.
NATURE (2020)
A comparison of single-cell trajectory inference methods
Wouter Saelens et al.
NATURE BIOTECHNOLOGY (2019)
Efficient integration of heterogeneous single-cell transcriptomes using Scanorama
Brian Hie et al.
NATURE BIOTECHNOLOGY (2019)
The Kipoi repository accelerates community exchange and reuse of predictive models for genomics
Ziga Avsec et al.
NATURE BIOTECHNOLOGY (2019)
Decomposing Cell Identity for Transfer Learning across Cellular Measurements, Platforms, Tissues, and Species
Genevieve L. Stein-O'Brien et al.
CELL SYSTEMS (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)
Comprehensive single cell mRNA profiling reveals a detailed roadmap for pancreatic endocrinogenesis
Aimee Bastidas-Ponce et al.
DEVELOPMENT (2019)
Joint analysis of heterogeneous single-cell RNA-seq dataset collections
Nikolas Barkas et al.
NATURE METHODS (2019)
scGen predicts single-cell perturbation responses
Mohammad Lotfollahi et al.
NATURE METHODS (2019)
A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies
Zhe Sun et al.
NATURE COMMUNICATIONS (2019)
Data denoising with transfer learning in single-cell transcriptomics
Jingshu Wang et al.
NATURE METHODS (2019)
Fast, sensitive and accurate integration of single-cell data with Harmony
Ilya Korsunsky et al.
NATURE METHODS (2019)
Single-Cell Transcriptomic Analysis of Human Lung Provides Insights into the Pathobiology of Pulmonary Fibrosis
Paul A. Reyfman et al.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2019)
Cross-Domain Fault Diagnosis Using Knowledge Transfer Strategy: A Review
Huailiang Zheng et al.
IEEE ACCESS (2019)
A comparison of automatic cell identification methods for single-cell RNA sequencing data
Tamim Abdelaal et al.
GENOME BIOLOGY (2019)
scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation
E. Madissoon et al.
GENOME BIOLOGY (2019)
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
F. Alexander Wolf et al.
GENOME BIOLOGY (2019)
Mapping the Mouse Cell Atlas by Microwell-Seq
Xiaoping Han et al.
CELL (2018)
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
Laleh Haghverdi et al.
NATURE BIOTECHNOLOGY (2018)
Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding
Alexander B. Rosenberg et al.
SCIENCE (2018)
Deep Learning Applications in Medical Image Analysis
Justin Ker et al.
IEEE ACCESS (2018)
Molecular Diversity and Specializations among the Cells of the Adult Mouse Brain
Arpiar Saunders et al.
CELL (2018)
Molecular Architecture of the Mouse Nervous System
Amit Zeisel et al.
CELL (2018)
CaSTLe - Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments
Yuval Lieberman et al.
PLOS ONE (2018)
Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris
Nicholas Schaum et al.
NATURE (2018)
Deep generative modeling for single-cell transcriptomics
Romain Lopez et al.
NATURE METHODS (2018)
Human bone marrow assessment by single-cell RNA sequencing, mass cytometry, and flow cytometry
Karolyn A. Oetjen et al.
JCI INSIGHT (2018)
SCANPY: large-scale single-cell gene expression data analysis
F. Alexander Wolf et al.
GENOME BIOLOGY (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)
Reversed graph embedding resolves complex single-cell trajectories
Xiaojie Qiu et al.
NATURE METHODS (2017)
Single-cell epigenomics: Recording the past and predicting the future
Gavin Kelsey et al.
SCIENCE (2017)
Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors
Alexandra-Chloe Villani et al.
SCIENCE (2017)
Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes
Asa Segerstolpe et al.
CELL METABOLISM (2016)
De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
Dominic Grun et al.
CELL STEM CELL (2016)
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
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)
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
Aaron T. L. Lun et al.
GENOME BIOLOGY (2016)
A theory of transfer learning with applications to active learning
Liu Yang et al.
MACHINE LEARNING (2013)
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
George E. Dahl et al.
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2012)