新的包

- Cell cycle expression heterogeneity predicts degree of differentiation - PubMed 重点

- Leveraging neighborhood representations of single-cell data to achieve sensitive DE testing with miloDE - PubMed 重点

- 从单细胞和空间转录组学推断模式驱动的细胞间流- PubMed --- Inferring pattern-driving intercellular flows from single-cell and spatial transcriptomics - PubMed重点

- CellRank 2：多视图单细胞数据中的统一命运映射- PubMed --- CellRank 2: unified fate mapping in multiview single-cell data - PubMed

- biomap-research/scFoundation --- biomap-research/scFoundation

- 单细胞转录组学的大规模基础模型- PubMed --- Large-scale foundation model on single-cell transcriptomics - PubMed

- VIBRANT：单细胞药物反应的光谱分析- PubMed --- VIBRANT: spectral profiling for single-cell drug responses - PubMed

- MinLabColumbia/VIBRANT

- DeepGRNCS：基于深度学习的框架，用于跨细胞亚群联合推断基因调控网络- PubMed --- DeepGRNCS: deep learning-based framework for jointly inferring gene regulatory networks across cell subpopulations - PubMed

- LineageVAE：重建历史细胞状态和转录组，以实现未观察到的祖细胞- PubMed --- LineageVAE: reconstructing historical cell states and transcriptomes toward unobserved progenitors - PubMed

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