cent12CT.m: Whole blood reference of 12 blood cell subtypes for EPIC...
In sjczheng/EpiDISH: Epigenetic Dissection of Intra-Sample-Heterogeneity
cent12CT.m R Documentation
Whole blood reference of 12 blood cell subtypes for EPIC array
Description
This reference is constructed using data from Salas et al.(2022). It contains
the following 12 blood cell subtypes. This reference is constructed for EPIC arrays.
See cent12CT450k.m for 450k arrays.
Usage
data(cent12CT.m)
Format
A matrix with 600 rows and 12 columns
Details
CD4+ naive T-cells
Basophil cells
CD4+ memory T-cells
Memory B-cells
Naive B-cells
Regulatory T-Cells
CD8+ memory T-cells
CD8+ naive T-cells
Eosinophils
NK-cells
Neutrophils
Monocytes
References
Qi Luo, Varun B Dwaraka, Qingwen Chen, Huige Tong, Tianyu Zhu,Kirsten
Seale, Joseph M Raffaele, Shijie C Zheng, Tavis L Mendez, Yulu Chen,
Natalia Carreras, Sofina Begum, Kevin Mendez, Sarah Voisin, Nir Eynon,
Jessica A Lasky-Su, Ryan Smith, Andrew E Teschendorff. A
meta-analysis of immune-cell fractions at high resolution reveals
novel associations with common phenotypes and health outcomes. Genome
Med. (2023) 15(1): 59.
doi:10.1186/s13073-023-01211-5.
sjczheng/EpiDISH documentation built on Nov. 16, 2024, 11:54 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| cent12CT.m | R Documentation |
Whole blood reference of 12 blood cell subtypes for EPIC array
Description
This reference is constructed using data from Salas et al.(2022). It contains
the following 12 blood cell subtypes. This reference is constructed for EPIC arrays.
See cent12CT450k.m for 450k arrays.
Usage
data(cent12CT.m)
Format
A matrix with 600 rows and 12 columns
Details
CD4+ naive T-cells
Basophil cells
CD4+ memory T-cells
Memory B-cells
Naive B-cells
Regulatory T-Cells
CD8+ memory T-cells
CD8+ naive T-cells
Eosinophils
NK-cells
Neutrophils
Monocytes
References
Qi Luo, Varun B Dwaraka, Qingwen Chen, Huige Tong, Tianyu Zhu,Kirsten Seale, Joseph M Raffaele, Shijie C Zheng, Tavis L Mendez, Yulu Chen, Natalia Carreras, Sofina Begum, Kevin Mendez, Sarah Voisin, Nir Eynon, Jessica A Lasky-Su, Ryan Smith, Andrew E Teschendorff. A meta-analysis of immune-cell fractions at high resolution reveals novel associations with common phenotypes and health outcomes. Genome Med. (2023) 15(1): 59. doi:10.1186/s13073-023-01211-5.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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