Scripts for scRNAseq preprocessing, data analysis, and figure generation for Davalos & Heydari et al. (2023)
Package repository can be found at https://github.com/SindiLab/scANNA
scANNA tutorials can be found at https://github.com/SindiLab/Tutorials
Repo structure is as follows
.
├── Figure_Scripts
├── GlobalMarkerSelection/
│ └── Triku
├── Preprocessing/
│ └── TrainTestSplitting
└── SupervisedClassification/
├── CHETAH
├── DataSplitting
├── RandomForest
├── SingleCellNet
├── scClassify
└── scPred/
├── ModelGeneration
└── Evaluation
If you found our work useful for your ressearch, please cite our preprint:
@article {Davalos2023.05.29.542760,
author = {Oscar A. Davalos and A. Ali Heydari and Elana J Fertig and Suzanne Sindi and Katrina K Hoyer},
title = {Boosting Single-Cell RNA Sequencing Analysis with Simple Neural Attention},
elocation-id = {2023.05.29.542760},
year = {2023},
doi = {10.1101/2023.05.29.542760},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2023/06/01/2023.05.29.542760},
eprint = {https://www.biorxiv.org/content/early/2023/06/01/2023.05.29.542760.full.pdf},
journal = {bioRxiv}
}
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