Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression data
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DOI: 10.1038/s41467-018-04696-6
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Cited by:
- Jolene S. Ranek & Wayne Stallaert & J. Justin Milner & Margaret Redick & Samuel C. Wolff & Adriana S. Beltran & Natalie Stanley & Jeremy E. Purvis, 2024. "DELVE: feature selection for preserving biological trajectories in single-cell data," Nature Communications, Nature, vol. 15(1), pages 1-26, December.
- Xuejiao Liu & Simin Zhao & Keke Wang & Liting Zhou & Ming Jiang & Yunfeng Gao & Ran Yang & Shiwen Yan & Wen Zhang & Bingbing Lu & Feifei Liu & Ran Zhao & Wenting Liu & Zihan Zhang & Kangdong Liu & Xia, 2023. "Spatial transcriptomics analysis of esophageal squamous precancerous lesions and their progression to esophageal cancer," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
- Wenpin Hou & Zhicheng Ji & Zeyu Chen & E. John Wherry & Stephanie C. Hicks & Hongkai Ji, 2023. "A statistical framework for differential pseudotime analysis with multiple single-cell RNA-seq samples," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
- Lan Huong Nguyen & Susan Holmes, 2019. "Ten quick tips for effective dimensionality reduction," PLOS Computational Biology, Public Library of Science, vol. 15(6), pages 1-19, June.
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