mineself2016
/

mamba_dev

Feature Extraction

gene-expression

Inference Endpoints

Model card Files Files and versions Community

mineself2016 commited on 10 days ago

Commit

73d97c3

•

1 Parent(s): 0f12a50

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -17,7 +17,7 @@ pipeline_tag: feature-extraction
 ---
-# **GeneMamba: A Context-Aware Model for Single-Cell RNA-Seq Data Analysis**
 ## **Model Description**
 GeneMamba is a pretrained transformer-based model designed for analyzing single-cell RNA sequencing (scRNA-seq) data. It adapts the Mamba architecture to represent single-cell data, viewing cells as sentences and genes as tokens. GeneMamba is specifically optimized to handle long-sequence data, supporting context lengths up to 8192 tokens. This capability allows the model to incorporate previously ignored low-expression genes, enabling a comprehensive analysis of gene expression profiles.

 ---
+# **GeneMamba: Efficient and Effective Large Cell Model on Single Cell Data**
 ## **Model Description**
 GeneMamba is a pretrained transformer-based model designed for analyzing single-cell RNA sequencing (scRNA-seq) data. It adapts the Mamba architecture to represent single-cell data, viewing cells as sentences and genes as tokens. GeneMamba is specifically optimized to handle long-sequence data, supporting context lengths up to 8192 tokens. This capability allows the model to incorporate previously ignored low-expression genes, enabling a comprehensive analysis of gene expression profiles.