Added note about top 200 genes for model training
Browse files
README.md
CHANGED
|
@@ -1,3 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# Overview
|
| 2 |
This is the C2S-Pythia-410m-cell-type-prediction model, based on the Pythia-410m architecture developed by EleutherAI,
|
| 3 |
fine-tuned using Cell2Sentence (C2S) on a diverse set of single-cell RNA sequencing (scRNA-seq) datasets from CellxGene
|
|
@@ -11,6 +20,8 @@ This model was trained on over 57 million human and mouse cells gathered from ov
|
|
| 11 |
datasets from CellxGene and the Human Cell Atlas. This dataset covers a broad range of cell types and conditions
|
| 12 |
from multiple tissues in both human and mouse.
|
| 13 |
|
|
|
|
|
|
|
| 14 |
# Tasks
|
| 15 |
This model is designed for:
|
| 16 |
- Cell type prediction: Predicting the cell type based on the "cell sentence" generated from scRNA-seq data.
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
+
base_model: EleutherAI/pythia-410m
|
| 5 |
+
library_name: transformers
|
| 6 |
+
tags:
|
| 7 |
+
- biology
|
| 8 |
+
- scRNAseq
|
| 9 |
+
---
|
| 10 |
# Overview
|
| 11 |
This is the C2S-Pythia-410m-cell-type-prediction model, based on the Pythia-410m architecture developed by EleutherAI,
|
| 12 |
fine-tuned using Cell2Sentence (C2S) on a diverse set of single-cell RNA sequencing (scRNA-seq) datasets from CellxGene
|
|
|
|
| 20 |
datasets from CellxGene and the Human Cell Atlas. This dataset covers a broad range of cell types and conditions
|
| 21 |
from multiple tissues in both human and mouse.
|
| 22 |
|
| 23 |
+
This model was trained with the top 200 genes per cell sentence.
|
| 24 |
+
|
| 25 |
# Tasks
|
| 26 |
This model is designed for:
|
| 27 |
- Cell type prediction: Predicting the cell type based on the "cell sentence" generated from scRNA-seq data.
|