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: bioconductor: SCnorm

https://packages.ecosyste.ms/registries/bioconductor.org/packages/SCnorm

Normalization of single cell RNA-seq data
1 version
Latest release: about 1 year ago
15,538 downloads total

Papers Mentioning SCnorm 15

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: almost 5 years ago

10.1136/jitc-2020-000705

SITC cancer immunotherapy resource document: a compass in the land of biomarker discovery
Cited by: 17
Author(s): Siwen Hu‐Lieskovan, Srabani Bhaumik, Kavita M. Dhodapkar, Jean‐Charles Grivel, Sumati Gupta, Brent A. Hanks, Sylvia Janetzki, Thomas O. Kleen, Yoshinobu Koguchi, Amanda W. Lund, Cristina Maccalli, Yolanda D. Mahnke, Ruslan D. Novosiadly, Senthamil R. Selvan, Tasha N. Sims, Yingdong Zhao, Holden T. Maecker
Software Mentions: 15
Published: almost 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

10.3389/fgene.2020.00041

Normalization Methods on Single-Cell RNA-seq Data: An Empirical Survey
Cited by: 46
Author(s): Nicholas Lytal, Ran Di, Lingling An
Software Mentions: 8
Published: almost 5 years ago

10.3389/fgene.2019.00400

NormExpression: An R Package to Normalize Gene Expression Data Using Evaluated Methods
Cited by: 10
Author(s): Zhenfeng Wu, Weixiang Liu, Xiufeng Jin, Haishuo Ji, Hua Wang, Gustavo Glusman, Max Robinson, Lin Liu, Jishou Ruan, Shan Gao
Software Mentions: 7
Published: over 5 years ago

10.1186/s13059-019-1874-1

Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression
Cited by: 2,100
Author(s): Christoph Hafemeister, Rahul Satija
Software Mentions: 6
Published: almost 5 years ago

10.3389/fgene.2021.612670

Non-linear Normalization for Non-UMI Single Cell RNA-Seq
Cited by: 3
Author(s): Zhijin Wu, Kenong Su, Hao Wu
Software Mentions: 5
Published: over 3 years ago

10.3390/ijms21186488

Lipid Stores and Lipid Metabolism Associated Gene Expression in Porcine and Bovine Parthenogenetic Embryos Revealed by Fluorescent Staining and RNA-seq
Cited by: 16
Author(s): Arkadiusz Kajdasz, Ewelina Warzych, Natalia Derebecka, Zofia E. Madeja, D. Lechniak, Joanna Wesoły, Piotr Pawlak
Software Mentions: 5
Published: about 4 years ago

10.3390/cells10061371

Single-Cell Transcriptional Heterogeneity of Lymphatic Endothelial Cells in Normal and Inflamed Murine Lymph Nodes
Cited by: 18
Author(s): Eliane Sibler, Yuliang He, Luca Ducoli, Nadja Keller, Noriki Fujimoto, Lothar C. Dieterich, Michael Detmar
Software Mentions: 5
Published: over 3 years ago

10.1371/journal.pone.0239711

Reproducibility across single-cell RNA-seq protocols for spatial ordering analysis
Cited by: 5
Author(s): Morten Seirup, Li‐Fang Chu, Srikumar Sengupta, Ning Leng, Hadley Browder, Kevin Kapadia, Christina M. Shafer, Bret Duffin, Angela L. Elwell, Jennifer M. Bolin, Scott Swanson, Ron Stewart, Christina Kendziorski, James A. Thomson, Rhonda Bacher
Software Mentions: 5
Published: about 4 years ago

10.1186/s12859-020-03883-x

NDRindex: a method for the quality assessment of single-cell RNA-Seq preprocessing data
Cited by: 0
Author(s): Ruiyu Xiao, Guoshan Lu, Wanqian Guo, Shuilin Jin
Software Mentions: 4
Published: almost 4 years ago

10.3390/genes10080611

Multi-Objective Optimized Fuzzy Clustering for Detecting Cell Clusters from Single-Cell Expression Profiles
Cited by: 14
Author(s): Saurav Mallik, Zhongming Zhao
Software Mentions: 4
Published: over 5 years ago

10.1038/s41598-018-35365-9

Detection of correlated hidden factors from single cell transcriptomes using Iteratively Adjusted-SVA (IA-SVA)
Cited by: 7
Author(s): Dong‐Hyung Lee, Anthony Cheng, Nathan Lawlor, Mohan Bolisetty, Duygu Ucar
Software Mentions: 4
Published: about 6 years ago

10.7554/eLife.50777

Single-cell proteomics reveals changes in expression during hair-cell development
Cited by: 77
Author(s): Ying Zhu, Mirko Scheibinger, Daniel C. Ellwanger, Jocelyn F. Krey, Dong‐Hee Choi, Ryan Kelly, Stefan Heller, Peter G. Barr-Gillespie
Software Mentions: 3
Published: about 5 years ago

10.3389/fgene.2021.650795

SMIXnorm: Fast and Accurate RNA-Seq Data Normalization for Formalin-Fixed Paraffin-Embedded Samples
Cited by: 0
Author(s): Yin Shen, Xiaowei Zhan, Bo Yao, Guanghua Xiao, Xinlei Wang, Yang Xie
Software Mentions: 3
Published: over 3 years ago