ADAPTS
Automated Deconvolution Augmentation of Profiles for Tissue Specific Cells
Tools to construct (or add to) cell-type signature matrices using flow sorted or single cell samples and deconvolve bulk gene expression data. Useful for assessing the quality of single cell RNAseq experiments, estimating the accuracy of signature matrices, and determining cell-type spillover. Please cite: Danziger SA et al. (2019) ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific cells <doi:10.1371/journal.pone.0224693>.
- Version1.0.22
- R version≥ 3.3.0
- LicenseMIT
- Needs compilation?No
- Danziger SA et al. (2019) ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific cells
- Last release09/14/2022
Documentation
- VignetteADAPTS (Automated Deconvolution Augmentation of Profiles for Tissue Specific cells) Vignette
- VignetteADAPTS Vignette #2: (DEPRECATED) Single Cell Analysis
- VignetteADAPTS Vignette #3: Building a Better Signature Matrix From Single Cell Data
- VignetteADAPTS Vignette #4: Build a Single Cell Based Matrix and Test on Independant Data
- VignetteADAPTS Vignette #5: Automated Repeated Leave-Half-Out Cross-Validation for Robust Accuracy Estimates
- MaterialREADME
- In ViewsOmics
Team
Samuel A Danziger
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- Imports9 packages
- Suggests2 packages
- Reverse Imports1 package