TIPS: trajectory inference of pathway significance through pseudotime comparison for functional assessment of single-cell RNAseq data

Recent advances in bioinformatics analyses have led to the development of novel tools enabling the capture and trajectory mapping of single-cell RNA sequencing (scRNAseq) data. However, there is a lack of methods to assess the contributions of biological pathways and transcription factors to an over...

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Detalles Bibliográficos
Autores principales: Zheng, Zihan, Qiu, Xin, Wu, Haiyang, Chang, Ling, Tang, Xiangyu, Zou, Liyun, Li, Jingyi, Wu, Yuzhang, Zhou, Jianzhi, Jiang, Shan, Wan, Ying, Ni, Qingshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425418/
https://www.ncbi.nlm.nih.gov/pubmed/34370020
http://dx.doi.org/10.1093/bib/bbab124

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425418/
https://www.ncbi.nlm.nih.gov/pubmed/34370020
http://dx.doi.org/10.1093/bib/bbab124

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