AetherCell: A generative engine for virtual cell perturbation and in vivo drug discovery
Li et al. · bioRxiv · 2026-03-16
AetherCell统一临床RNA-seq与扰动实验流形，做生成式响应预测并支持体内药物重定位。
标签：基础模型
共 17 条，按时间倒序。
Foundation Model Based on Routine Magnetic Resonance Imaging for Brain Tumor Molecular Profiling and Progression Prediction.
Li J, Liu R, Xing Y, Gao X, Yin Q, Su Q. · JCO precision oncology · 2026-02-20
基于常规MRI的脑肿瘤分子分型基础模型。
scPRINT-2: Towards the next-generation of cell foundation models and benchmarks
Kalfon J, Peyré G, Cantini L. · bioRxiv · 2025-12-15
scPRINT-2：新一代细胞基础模型与基准。
Novae: a graph-based foundation model for spatial transcriptomics data.
Blampey Q, Benkirane H, Bercovici N, Mulder K, Gessain G, Ginhoux F, André F, Cournède PH. · Nature methods · 2025-12-10
Novae：基于图的空间转录组基础模型。
A foundation model for brain tumor MRI analysis: WHO grading and subtype classification.
Li J, Liu R, Xing Y, Gao X, Yin Q, Su Q. · Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2025-11-19
脑肿瘤MRI基础模型：WHO分级与亚型。
Nicheformer: a foundation model for single-cell and spatial omics.
Tejada-Lapuerta A, Schaar AC, Gutgesell R, Palla G, Halle L, Minaeva M, Vornholz L, Dony L, Drummer F, Richter T, Bahrami M, Theis FJ. · Nature methods · 2025-10-30
Nicheformer：单细胞+空间组学基础模型（Theis团队）。
A visual-omics foundation model to bridge histopathology with spatial transcriptomics.
Chen W et al. · Nature methods · 2025-05-29
病理图像与空间转录组桥接的视觉-组学基础模型。
A Cross-Species Generative Cell Atlas Across 1.5 Billion Years of Evolution: The TranscriptFormer Single-cell Model
Pearce JD, Simmonds SE, Mahmoudabadi G, Krishnan L, Palla G, Istrate A, Tarashansky A, Nelson B, Valenzuela O, Li D, Quake SR, Karaletsos T. · bioRxiv · 2025-04-29
CZI的TranscriptFormer：跨12物种、1.12亿细胞的生成式模型。
Scaling Dense Representations for Single Cell with Transcriptome-Scale Context
Ho N, Ellington CN, Hou J, Addagudi S, Mo S, Tao T, Li D, Zhuang Y, Wang H, Cheng X, Song L, Xing EP. · bioRxiv · 2024-12-03
GenBio AI的AIDO.Cell：全转录组上下文的稠密单细胞模型。
GeneCompass: deciphering universal gene regulatory mechanisms with a knowledge-informed cross-species foundation model.
Yang X et al. · Cell research · 2024-10-08
GeneCompass：知识引导的跨物种基础模型（中科院）。
Large-scale foundation model on single-cell transcriptomics.
Hao M, Gong J, Zeng X, Liu C, Guo Y, Cheng X, Wang T, Ma J, Zhang X, Song L. · Nature methods · 2024-06-06
scFoundation：清华/百图生科的1亿参数单细胞基础模型。
Towards a general-purpose foundation model for computational pathology.
Chen RJ et al. · Nature medicine · 2024-03-19
UNI：通用病理基础模型（含脑肿瘤分型任务）。
scGPT: toward building a foundation model for single-cell multi-omics using generative AI.
Cui H, Wang C, Maan H, Pang K, Luo F, Duan N, Wang B. · Nature methods · 2024-02-26
scGPT：基于3300万细胞的生成式单细胞基础模型（王波团队）。
Universal Cell Embeddings: A Foundation Model for Cell Biology
Rosen Y, Roohani Y, Agrawal A, Samotorcan L, Tabula Sapiens Consortium, Quake SR, Quake SR, Leskovec J. · bioRxiv · 2023-11-29
UCE：跨物种零样本细胞嵌入模型（Leskovec/Quake）。
CellPLM: Pre-training of Cell Language Model Beyond Single Cells
Wen H, Tang W, Dai X, Ding J, Jin W, Xie Y, Tang J. · bioRxiv · 2023-10-05
CellPLM：引入空间关系的细胞语言模型。
Transfer learning enables predictions in network biology.
Theodoris CV, Xiao L, Chopra A, Chaffin MD, Al Sayed ZR, Hill MC, Mantineo H, Brydon EM, Zeng Z, Liu XS, Ellinor PT. · Nature · 2023-05-31
Geneformer：支持“计算机模拟敲除”的单细胞基础模型。
scBERT as a Large-scale Pretrained Deep Language Model for Cell Type Annotation of Single-cell RNA-seq Data
Yang F, Wang W, Wang F, Fang Y, Tang D, Huang J, Lu H, Yao J. · bioRxiv · 2021-12-07
scBERT：早期细胞注释预训练模型。