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# Mouse-Genecorpus-20M
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---
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# Mouse-Genecorpus-20M
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Updating now...
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Comming soon!
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Write: Keita Ito
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## Abstract
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This repository contains the datasets of mouse-Genecorpus-20M and evaluation datasets to analysis. Mouse-Genecorpus-20M is large-scale pretraining corpus comprised of ~21 million mosue single cell transcriptomes from a broad range of tissues from publicly available data. This corpus is used for pretraining mouse-Geneformer, a pretrained transformer model that enables context-aware predictions in settings with limited data in network biology.
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<!-- PLOS Genetics の URL を載せる-->
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<!-- [[PLOS Genetics](hhttps://journals.plos.org/plosgenetics/...)]-->
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<!-- bioRxiv の URL を記載-->
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<!-- [[bioRxiv]()] -->
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## Citation
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If you find this repository is useful. Please cite the following references.
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<!-- PLOS Genetics の bibtex を載せる -->
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<!--bioRxiv の bibtex を載せる -->
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```bibtex
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@article{aaaaaaa,
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author = {Keita Ito and Tsubasa Hirakawa and Shuji Shigenobu and Takayoshi Yamashita and Hironobu Fujiyoshi},
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title = {Mouse-Geneformer: A Deep Leaning Model for Mouse Single-Cell Transcriptome and Its Cross-Species Utility},
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journal = {xxxx},
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year = {20yy},
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pages = {zzzz-zzzz}
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}
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```
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## How to use
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Python program to use this dataset (Python version:3.8.10) :
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```bash
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# How to use mosue-Genecorpus-20M dataset
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from datasets import load_dataset
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dataset = load_dataset("MPRG/Mouse-Genecorpus-20M/MLM-re_All_mouse_tokenize_dataset.dataset")
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```
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or
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```bash
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$ git clone https://huggingface.co/datasets/MPRG/Mouse-Genecorpus-20M
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```
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After executing the above command:
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```bash
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from datasets inport load_from_disk
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dataset = load_from_disk("/path/to/mouse-Genecorpus-20M/MLM-re_All_mouse_tokenize_dataset.dataset/")
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```
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