scIGANs: single-cell RNA-seq imputation using generative adversarial networks

Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks

(2020) Mohamed Marouf et al.   Nature Communications

Single-cell RNA-seq denoising using a deep count autoencoder

(2019) Gökcen Eraslan et al.   Nature Communications

CNNpred: CNN-based stock market prediction using a diverse set of variables

(2019) Ehsan Hoseinzade et al.   EXPERT SYSTEMS WITH APPLICATIONS

Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming

(2019) Geoffrey Schiebinger et al.   CELL

Benchmarking single cell RNA-sequencing analysis pipelines using mixture control experiments

(2019) Luyi Tian et al.   NATURE METHODS

Comprehensive Integration of Single-Cell Data

(2019) Tim Stuart et al.   CELL

Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM

(2019) Huidong Chen et al.   Nature Communications

DrImpute: imputing dropout events in single cell RNA sequencing data

(2018) Wuming Gong et al.   BMC BIOINFORMATICS

Recovering Gene Interactions from Single-Cell Data Using Data Diffusion

(2018) David van Dijk et al.   CELL

Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

(2018) Qingsong Yang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Integrating single-cell transcriptomic data across different conditions, technologies, and species

(2018) Andrew Butler et al.   NATURE BIOTECHNOLOGY

SAVER: gene expression recovery for single-cell RNA sequencing

(2018) Mo Huang et al.   NATURE METHODS

CellCycleTRACER accounts for cell cycle and volume in mass cytometry data

(2018) Maria Anna Rapsomaniki et al.   Nature Communications

An accurate and robust imputation method scImpute for single-cell RNA-seq data

(2018) Wei Vivian Li et al.   Nature Communications

Deep generative modeling for single-cell transcriptomics

(2018) Romain Lopez et al.   NATURE METHODS

AutoImpute: Autoencoder based imputation of single-cell RNA-seq data

(2018) Divyanshu Talwar et al.   Scientific Reports

Generative Adversarial Networks for Noise Reduction in Low-Dose CT

(2017) Jelmer M. Wolterink et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations

(2017) Hakan Gunduz et al.   KNOWLEDGE-BASED SYSTEMS

Reversed graph embedding resolves complex single-cell trajectories

(2017) Xiaojie Qiu et al.   NATURE METHODS

SC3: consensus clustering of single-cell RNA-seq data

(2017) Vladimir Yu Kiselev et al.   NATURE METHODS

The contribution of cell cycle to heterogeneity in single-cell RNA-seq data

(2016) Andrew McDavid et al.   NATURE BIOTECHNOLOGY

Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells

(2015) Allon M. Klein et al.   CELL

Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors

(2015) Franziska Paul et al.   CELL

Combined Single-Cell Functional and Gene Expression Analysis Resolves Heterogeneity within Stem Cell Populations

(2015) Nicola K. Wilson et al.   Cell Stem Cell

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

(2015) Florian Buettner et al.   NATURE BIOTECHNOLOGY

A survey of human brain transcriptome diversity at the single cell level

(2015) Spyros Darmanis et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development

(2014) Sean C. Bendall et al.   CELL

Data reduction for spectral clustering to analyze high throughput flow cytometry data

(2010) Habil Zare et al.   BMC BIOINFORMATICS