标题
Mapping single-cell data to reference atlases by transfer learning
作者
关键词
-
出版物
NATURE BIOTECHNOLOGY
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-08-31
DOI
10.1038/s41587-021-01001-7
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models
- (2021) Chenling Xu et al. Molecular Systems Biology
- Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia
- (2021) Rogan A. Grant et al. NATURE
- Joint probabilistic modeling of single-cell multi-omic data with totalVI
- (2021) Adam Gayoso et al. NATURE METHODS
- Integrated analysis of multimodal single-cell data
- (2021) Yuhan Hao et al. CELL
- Surface protein imputation from single cell transcriptomes by deep neural networks
- (2020) Zilu Zhou et al. Nature Communications
- Construction of a human cell landscape at single-cell level
- (2020) Xiaoping Han et al. NATURE
- Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19
- (2020) Mingfeng Liao et al. NATURE MEDICINE
- Immune cell profiling of COVID-19 patients in the recovery stage by single-cell sequencing
- (2020) Wen Wen et al. Cell Discovery
- Severe COVID-19 is marked by a dysregulated myeloid cell compartment
- (2020) Jonas Schulte-Schrepping et al. CELL
- Generalizing RNA velocity to transient cell states through dynamical modeling
- (2020) Volker Bergen et al. NATURE BIOTECHNOLOGY
- A single-cell atlas of the peripheral immune response in patients with severe COVID-19
- (2020) Aaron J. Wilk et al. NATURE MEDICINE
- Airspace Macrophages and Monocytes Exist in Transcriptionally Distinct Subsets in Healthy Adults
- (2020) Kara J Mould et al. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
- Conditional out-of-distribution generation for unpaired data using transfer VAE
- (2020) Mohammad Lotfollahi et al. BIOINFORMATICS
- A molecular cell atlas of the human lung from single-cell RNA sequencing
- (2020) Kyle J. Travaglini et al. NATURE
- A comparison of single-cell trajectory inference methods
- (2019) Wouter Saelens et al. NATURE BIOTECHNOLOGY
- Efficient integration of heterogeneous single-cell transcriptomes using Scanorama
- (2019) Brian Hie et al. NATURE BIOTECHNOLOGY
- The Kipoi repository accelerates community exchange and reuse of predictive models for genomics
- (2019) Žiga Avsec et al. NATURE BIOTECHNOLOGY
- Decomposing Cell Identity for Transfer Learning across Cellular Measurements, Platforms, Tissues, and Species
- (2019) Genevieve L. Stein-O’Brien et al. Cell Systems
- Comprehensive Integration of Single-Cell Data
- (2019) Tim Stuart et al. CELL
- Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity
- (2019) Joshua D. Welch et al. CELL
- Comprehensive single cell mRNA profiling reveals a detailed roadmap for pancreatic endocrinogenesis
- (2019) Aimée Bastidas-Ponce et al. DEVELOPMENT
- Joint analysis of heterogeneous single-cell RNA-seq dataset collections
- (2019) Nikolas Barkas et al. NATURE METHODS
- scGen predicts single-cell perturbation responses
- (2019) Mohammad Lotfollahi et al. NATURE METHODS
- A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies
- (2019) Zhe Sun et al. Nature Communications
- Data denoising with transfer learning in single-cell transcriptomics
- (2019) Jingshu Wang et al. NATURE METHODS
- Fast, sensitive and accurate integration of single-cell data with Harmony
- (2019) Ilya Korsunsky et al. NATURE METHODS
- Mapping the Mouse Cell Atlas by Microwell-Seq
- (2018) Xiaoping Han et al. CELL
- Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
- (2018) Laleh Haghverdi et al. NATURE BIOTECHNOLOGY
- Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding
- (2018) Alexander B. Rosenberg et al. SCIENCE
- Deep Learning Applications in Medical Image Analysis
- (2018) Justin Ker et al. IEEE Access
- Molecular Diversity and Specializations among the Cells of the Adult Mouse Brain
- (2018) Arpiar Saunders et al. CELL
- Molecular Architecture of the Mouse Nervous System
- (2018) Amit Zeisel et al. CELL
- CaSTLe – Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments
- (2018) Yuval Lieberman et al. PLoS One
- Single-Cell Transcriptomic Analysis of Human Lung Provides Insights into the Pathobiology of Pulmonary Fibrosis
- (2018) Paul A Reyfman et al. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
- Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris
- (2018) et al. NATURE
- Deep generative modeling for single-cell transcriptomics
- (2018) Romain Lopez et al. NATURE METHODS
- Simultaneous epitope and transcriptome measurement in single cells
- (2017) Marlon Stoeckius et al. NATURE METHODS
- Single-cell epigenomics: Recording the past and predicting the future
- (2017) Gavin Kelsey et al. SCIENCE
- Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors
- (2017) Alexandra-Chloé Villani et al. SCIENCE
- The Human Cell Atlas
- (2017) Aviv Regev et al. eLife
- Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes
- (2016) Åsa Segerstolpe et al. Cell Metabolism
- De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
- (2016) Dominic Grün et al. Cell Stem Cell
- Single-cell transcriptomes identify human islet cell signatures and reveal cell-type–specific expression changes in type 2 diabetes
- (2016) Nathan Lawlor et al. GENOME RESEARCH
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- (2016) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A Single-Cell Transcriptome Atlas of the Human Pancreas
- (2016) Mauro J. Muraro et al. Cell Systems
- A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure
- (2016) Maayan Baron et al. Cell Systems
- A theory of transfer learning with applications to active learning
- (2012) Liu Yang et al. MACHINE LEARNING
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
- (2011) G. E. Dahl et al. IEEE Transactions on Audio Speech and Language Processing
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