Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: cran: DrImpute

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/DrImpute

Imputing Dropout Events in Single-Cell RNA-Sequencing Data
1 version
Latest release: about 7 years ago
236 downloads last month

Papers Mentioning DrImpute 19

pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools
Cited by: 53
Author(s): Pierre-Luc Germain, Anthony Sonrel, Mark D. Robinson
Software Mentions: 21
Published: about 4 years ago

10.20517/jtgg.2020.51

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq
Cited by: 2
Author(s): Brandon Lieberman, Meena Kusi, Chia-Nung Hung, Chih-Wei Chou, Ning He, Yen‐Yi Ho, Josephine A. Taverna, Tim Hui-Ming Huang, Chun-Liang Chen
Software Mentions: 18
Published: over 4 years ago

10.1186/s13059-020-02132-x

A systematic evaluation of single-cell RNA-sequencing imputation methods
Cited by: 156
Author(s): Wenpin Hou, Zhicheng Ji, Hongkai Ji, Stephanie Hicks
Software Mentions: 15
Published: about 4 years ago

10.3389/fgene.2019.00317

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis
Cited by: 549
Author(s): Geng Chen, Baitang Ning, Tieliu Shi
Software Mentions: 13
Published: over 5 years ago

10.1093/bioinformatics/btz889

<i>CellBench</i>: <i>R/Bioconductor</i> software for comparing single-cell RNA-seq analysis methods
Cited by: 17
Author(s): Shian Su, Luyi Tian, Xueyi Dong, Peter Hickey, Saskia Freytag, Matthew E. Ritchie
Software Mentions: 11
Published: almost 5 years ago

10.1371/journal.pcbi.1009118

SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data
Cited by: 6
Author(s): Jing Qi, Yang Zhou, Zhao Zhang, Shuilin Jin
Software Mentions: 6
Published: over 3 years ago

10.3389/fgene.2020.570255

A Review of Integrative Imputation for Multi-Omics Datasets
Cited by: 48
Author(s): Meng Song, Jonathan Greenbaum, Joseph Luttrell, Weihua Zhou, Chong Wu, Hui Shen, Ping Gong, Chaoyang Zhang, Hong Wen Deng
Software Mentions: 6
Published: almost 4 years ago

10.1371/journal.pcbi.1008569

Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data
Cited by: 16
Author(s): Andreas Tjärnberg, Omar Mahmood, Christopher Jackson, Giuseppe-Antonio Saldi, Kyunghyun Cho, Lionel Christiaen, Richard Bonneau
Software Mentions: 6
Published: over 3 years ago

10.1186/s12859-018-2226-y

DrImpute: imputing dropout events in single cell RNA sequencing data
Cited by: 243
Author(s): Wuming Gong, Il-Youp Kwak, Pruthvi Pota, Naoko Koyano-Nakagawa, Daniel J. Garry
Software Mentions: 6
Published: over 6 years ago

10.1186/s13059-019-1837-6

DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
Cited by: 162
Author(s): Cédric Arisdakessian, Olivier Poirion, Breck Yunits, Xun Zhu, Lana X. Garmire
Software Mentions: 6
Published: almost 5 years ago

10.7717/peerj.6970

Detection of condition-specific marker genes from RNA-seq data with MGFR
Cited by: 8
Author(s): Khadija El Amrani, Gregorio Alanis-Lobato, Nancy Mah, Armin Kurtz, Miguel A. Andrade‐Navarro
Software Mentions: 4
Published: over 5 years ago

10.3389/fgene.2021.733906

SCDRHA: A scRNA-Seq Data Dimensionality Reduction Algorithm Based on Hierarchical Autoencoder
Cited by: 8
Author(s): Jianping Zhao, Na Wang, Haiyun Wang, Chun-Hou Zheng, Yansen Su
Software Mentions: 4
Published: about 3 years ago

10.1186/s13059-018-1575-1

VIPER: variability-preserving imputation for accurate gene expression recovery in single-cell RNA sequencing studies
Cited by: 92
Author(s): Mengjie Chen, Xiang Zhou
Software Mentions: 4
Published: almost 6 years ago

10.1186/s12859-019-2977-0

RESCUE: imputing dropout events in single-cell RNA-sequencing data
Cited by: 26
Author(s): Sam Tracy, Guo‐Cheng Yuan, Ruben Dries
Software Mentions: 4
Published: about 5 years ago

10.3389/fgene.2019.00009

McImpute: Matrix Completion Based Imputation for Single Cell RNA-seq Data
Cited by: 60
Author(s): Aanchal Mongia, Debarka Sengupta, Angshul Majumdar
Software Mentions: 3
Published: over 5 years ago

10.12688/f1000research.16613.2

False signals induced by single-cell imputation
Cited by: 99
Author(s): Tallulah Andrews, Martin Hemberg
Software Mentions: 3
Published: over 5 years ago

10.1186/s13059-019-1681-8

SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Cited by: 83
Author(s): Tao Peng, Qin Zhu, Pengbin Yin, Kai Tan
Software Mentions: 2
Published: over 5 years ago

10.1186/s12859-020-03547-w

A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data
Cited by: 2
Author(s): Qi Yang, Yang Guo, Huixin Jiao, Xuequn Shang
Software Mentions: 2
Published: over 4 years ago

10.3389/fgene.2021.739677

AdImpute: An Imputation Method for Single-Cell RNA-Seq Data Based on Semi-Supervised Autoencoders
Cited by: 4
Author(s): Li Xu, Yiwei Xu, Ting Xue, Xinyu Zhang, Jin Li
Software Mentions: 1
Published: about 3 years ago