Papers: 10.3390/life11070716
https://doi.org/10.3390/life11070716
Single-Cell Transcriptome Profiling Simulation Reveals the Impact of Sequencing Parameters and Algorithms on Clustering
Cited by: 0
Author(s): Yunhe Liu, Aoshen Wu, Xueqing Peng, Xiaona Liu, Gang Liu, Lei Liu
Published: about 4 years ago
Software Mentions 15
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
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bioconductor: splatter
Simple Simulation of Single-cell RNA Sequencing DataPapers that mentioned: 6
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bioconductor: SPsimSeq
Semi-parametric simulation tool for bulk and single-cell RNA sequencing dataPapers that mentioned: 4
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cran: phateR
PHATE - Potential of Heat-Diffusion for Affinity-Based Transition EmbeddingPapers that mentioned: 4
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cran: Rtsne
T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut ImplementationPapers that mentioned: 255
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pypi: splatter
Vizualizing multidimensional points in a pleasing and informative wayPapers that mentioned: 6
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pypi: SymSim
Tool for simulating planes of symmetries assuming kinematic diffractionPapers that mentioned: 7
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