Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Added Models and Fixed Issues #76

Merged
merged 12 commits into from
Jan 21, 2025
358 changes: 358 additions & 0 deletions _data/single-cell-transformers.yml
Original file line number Diff line number Diff line change
@@ -1,3 +1,361 @@
- model: scGREAT
paper:
type: peer_reviewed
text: '[Yuchen Wang et al. 2024](https://www.cell.com/iscience/pdf/S2589-0042%2824%2900573-X.pdf)'
url: https://www.cell.com/iscience/pdf/S2589-0042%2824%2900573-X.pdf
code:
type: reproducible
text: "[ð\x9F\x9B\_ï¸\x8FGitHub](https://github.com/WangyuchenCS/scGREAT)"
url: https://github.com/WangyuchenCS/scGREAT
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: Nicheformer
paper:
type: peer_reviewed
text: '[Anna C. Schaar et al. 2024](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4803291)'
url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4803291
code:
type: reproducible
text: "[ð\x9F\x9B\_ï¸\x8FGitHub](https://github.com/theislab/nicheformer)"
url: https://github.com/theislab/nicheformer
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: scmFormer
paper:
type: preprint
text: '[Jing Xu et al. 2024](https://pmc.ncbi.nlm.nih.gov/articles/PMC11109621/)'
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11109621/
code:
type: evaluation_only
text: "[ð\x9F\x94\x8DGitHub](https://github.com/zhanglab-wbgcas/scmFormer)"
url: https://github.com/zhanglab-wbgcas/scmFormer
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: Metric Mirages
paper:
type: preprint
text: '[Hanchen Wang et al. 2024](https://www.biorxiv.org/content/10.1101/2024.04.02.587824v1.full.pdf)'
url: https://www.biorxiv.org/content/10.1101/2024.04.02.587824v1.full.pdf
code:
type: '-'
text: '-'
url: '-'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: scEmb
paper:
type: preprint
text: '[Kang-Lin Hsieh et al. 2024](https://www.biorxiv.org/content/10.1101/2024.09.24.614685v1)'
url: https://www.biorxiv.org/content/10.1101/2024.09.24.614685v1
code:
type: '-'
text: '-'
url: '-'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'



- model: Cell-ontology guided transcriptome foundation model
paper:
type: preprint
text: '[Xinyu Yuan et al. 2024](https://arxiv.org/pdf/2408.12373)'
url: https://arxiv.org/pdf/2408.12373
code:
type: '-'
text: "[](https://github.com/zhanglab-wbgcas/scmFormer)"
url: 'https://github.com/DeepGraphLearning/scCello'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: Cell-Graph Compass
paper:
type: preprint
text: '[Chen Fang et al. 2024](https://www.biorxiv.org/content/10.1101/2024.06.04.597354v1.full.pdf)'
url: https://www.biorxiv.org/content/10.1101/2024.06.04.597354v1.full.pdf
code:
type: 'reproducible'
text: "[ð\x9F\x9B\_ï¸\x8FGitHub](https://github.com/epang-ucas/Cell-Graph-Compass)"
url: 'https://github.com/epang-ucas/Cell-Graph-Compass'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: scGAA
paper:
type: peer_reviewed
text: '[Tianci Kong et al. 2024](https://www.nature.com/articles/s41598-024-73356-1)'
url: https://www.nature.com/articles/s41598-024-73356-1
code:
type: 'evaluation_only'
text: "[ð\x9F\x94\x8DGitHub]https://github.com/kongtianci/scGAA)"
url: 'https://github.com/kongtianci/scGAA'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: scFusionTTT
paper:
type: preprint
text: '[Dian Meng et al. 2024](https://openreview.net/forum?id=7rR6RAUaoC)'
url: https://openreview.net/forum?id=7rR6RAUaoC
code:
type: '-'
text: '-'
url: '-'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'


- model: scCello
paper:
type: preprint
text: '[Xinyu Yuan et al. 2024](https://github.com/theislab/single-cell-transformer-papers/issues/32)'
url: https://github.com/theislab/single-cell-transformer-papers/issues/32
code:
type: '-'
text: "[ð\x9F\x94\x8DGitHub](https://github.com/DeepGraphLearning/scCello)"
url: 'https://github.com/DeepGraphLearning/scCello'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: scGenePT
paper:
type: preprint
text: '[Ana-Maria Istrate et al. 2024](https://www.biorxiv.org/content/10.1101/2024.10.23.619972v1.full.pdf)'
url: https://www.biorxiv.org/content/10.1101/2024.10.23.619972v1.full.pdf
code:
type: 'reproducible'
text: "[ð\x9F\x9B\_ï¸\x8FGitHub](https://github.com/czi-ai/scGenePT)"
url: 'https://github.com/czi-ai/scGenePT'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: ENHANCING GENERATIVE PERTURBATION MODELS WITH LLM-INFORMED GENE EMBEDDINGS
paper:
type: preprint
text: '[Kaspar Märtens et al. 2024](https://openreview.net/pdf?id=eb3ndUlkt4)'
url: https://openreview.net/pdf?id=eb3ndUlkt4
code:
type: '-'
text: "-"
url: '-'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: scSwinTNet
paper:
type: peer_reviewed
text: '[Huanhuan Dai et al. 2024](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10737051)'
url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10737051
code:
type: 'reproducible'
text: "[ð\x9F\x9B\_ï¸\x8FGitHub](https://github.com/Danica123/scSwinTNet)"
url: 'https://github.com/Danica123/scSwinTNet'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: sclong
paper:
type: preprint
text: '[Ding Bai et al. 2024](https://www.biorxiv.org/content/10.1101/2024.11.09.622759v2)'
url: https://www.biorxiv.org/content/10.1101/2024.11.09.622759v2
code:
type: 'reproducible'
text: "[ð\x9F\x9B\_ï¸\x8FGitHub](https://github.com/BaiDing1234/scLong)"
url: 'https://github.com/BaiDing1234/scLong'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: WHITE-BOX DIFFUSION TRANSFORMER FOR SINGLE-CELL RNA-SEQ GENERATION
paper:
type: preprint
text: '[Zhuorui Cui et al. 2024](https://arxiv.org/pdf/2411.06785)'
url: https://arxiv.org/pdf/2411.06785
code:
type: '-'
text: '-'
url: '-'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: "A framework for gene representation on spatial transcriptomics"
paper:
type: preprint
text: '[Shenghao Cao et al. 2024](https://www.biorxiv.org/content/10.1101/2024.09.27.615337v5.full)'
url: https://www.biorxiv.org/content/10.1101/2024.09.27.615337v5.full
code:
type: '-'
text: '-'
url: '-'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'


- model: genohoption
paper:
type: preprint
text: '[Jiabei Cheng et al. 2024](https://arxiv.org/pdf/2411.06331)'
url: https://arxiv.org/pdf/2411.06331
code:
type: 'reproducible'
text: "[ð\x9F\x9B\_ï¸\x8FGitHub](https://github.com/Bunnybeibei/GenoHoption)"
url: 'https://github.com/Bunnybeibei/GenoHoption'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: Cellpatch
paper:
type: preprint
text: '[Hanwen Zhu et al. 2024](https://www.biorxiv.org/content/10.1101/2024.11.15.623701v1.full.pdf)'
url: https://www.biorxiv.org/content/10.1101/2024.11.15.623701v1.full.pdf
code:
type: 'reproducible'
text: '[ð\x9F\x9B\_ï¸\x8FGitHub](https://github.com/HanwenZhu98/CellPatch)'
url: 'https://github.com/HanwenZhu98/CellPatch'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: GRNPT
paper:
type: preprint
text: '[Guangzheng Weng et al. 2024](https://advanced.onlinelibrary.wiley.com/doi/pdf/10.1002/advs.202409990)'
url: https://advanced.onlinelibrary.wiley.com/doi/pdf/10.1002/advs.202409990
code:
type: 'evaluation_only'
text: '[ð\x9F\x94\x8DGitHub](https://github.com/wgzgithub/GRNPT)'
url: 'https://github.com/wgzgithub/GRNPT'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'


- model: Aido.cell
paper:
type: preprint
text: '[Nicholas Ho et al. 2024](https://www.biorxiv.org/content/10.1101/2024.11.28.625303v1.full)'
url: https://www.biorxiv.org/content/10.1101/2024.11.28.625303v1.full
code:
type: 'evaluation_only'
text: '[ð\x9F\x94\x8DGitHub](https://github.com/wgzgithub/GRNPT)'
url: 'https://huggingface.co/genbio-ai/AIDO.Cell-100M/tree/main'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: sctel
paper:
type: peer_reviewed
text: '[Yuanyuan Chen et al. 2024](https://www.nature.com/articles/s41540-024-00484-9)'
url: https://www.nature.com/articles/s41540-024-00484-9
code:
type: 'reproducible'
text: '[ð\x9F\x9B\_ï¸\x8FGitHub](https://github.com/142857cyy/scTEL)'
u'rl: 'https://github.com/142857cyy/scTEL'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'


- model: "Toward a privacy-preserving predictive foundation model"
paper:
type: preprint
text: '[Jiayuan Ding et al. 2024](https://www.biorxiv.org/content/10.1101/2025.01.06.631427v1.full.pdf)'
url: https://www.biorxiv.org/content/10.1101/2025.01.06.631427v1.full.pdf
code:
type: '-'
text: '-'
url: '-'
omic_modalities: '-'
pre_training_dataset: '-'
input_embedding: '-'
architecture: '-'
ssl_tasks: '-'
supervised_tasks: '-'

- model: mcBERT
paper:
type: preprint
Expand Down
Loading
Loading