日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics

Stereopy:通过多样本空间转录组学模拟细胞的比较和时空异质性

Fang, Shuangsang; Xu, Mengyang; Cao, Lei; Liu, Xiaobin; Bezulj, Marija; Tan, Liwei; Yuan, Zhiyuan; Li, Yao; Xia, Tianyi; Guo, Longyu; Kovacevic, Vladimir; Hui, Junhou; Guo, Lidong; Liu, Chao; Cheng, Mengnan; Lin, Li'ang; Wen, Zhenbin; Josic, Bojana; Milicevic, Nikola; Qiu, Ping; Lu, Qin; Li, Yumei; Wang, Leying; Hu, Luni; Zhang, Chao; Kang, Qiang; Chen, Fengzhen; Deng, Ziqing; Li, Junhua; Li, Mei; Li, Shengkang; Zhao, Yi; Fan, Guangyi; Zhang, Yong; Chen, Ao; Li, Yuxiang; Xu, Xun

BioLLM: A standardized framework for integrating and benchmarking single-cell foundation models

BioLLM:用于整合和评估单细胞基础模型的标准化框架

Qiu, Ping; Chen, Qianqian; Qin, Hua; Fang, Shuangsang; Zhang, Yilin; Zhang, Yanlin; Xia, Tianyi; Cao, Lei; Zhang, Yong; Fang, Xiaodong; Li, Yuxiang; Hu, Luni

ST-GEARS: Advancing 3D downstream research through accurate spatial information recovery

ST-GEARS:通过精确的空间信息恢复推进3D下游研究

Xia, Tianyi; Hu, Luni; Zuo, Lulu; Cao, Lei; Zhang, Yunjia; Xu, Mengyang; Lu, Qin; Zhang, Lei; Pan, Taotao; Zhang, Bohan; Ma, Bowen; Chen, Chuan; Guo, Junfu; Shi, Chang; Li, Mei; Liu, Chao; Li, Yuxiang; Zhang, Yong; Fang, Shuangsang

Deciphering spatial domains from spatially resolved transcriptomics with Siamese graph autoencoder.

利用孪生图自编码器从空间分辨转录组学中解码空间域

Cao Lei, Yang Chao, Hu Luni, Jiang Wenjian, Ren Yating, Xia Tianyi, Xu Mengyang, Ji Yishuai, Li Mei, Xu Xun, Li Yuxiang, Zhang Yong, Fang Shuangsang

spatiAlign: an unsupervised contrastive learning model for data integration of spatially resolved transcriptomics.

spatiAlign:一种用于空间分辨转录组学数据整合的无监督对比学习模型

Zhang Chao, Liu Lin, Zhang Ying, Li Mei, Fang Shuangsang, Kang Qiang, Chen Ao, Xu Xun, Zhang Yong, Li Yuxiang

EAGS: efficient and adaptive Gaussian smoothing applied to high-resolved spatial transcriptomics.

EAGS:一种应用于高分辨率空间转录组学的高效自适应高斯平滑方法

Lv Tongxuan, Zhang Ying, Li Mei, Kang Qiang, Fang Shuangsang, Zhang Yong, Brix Susanne, Xu Xun

A novel variable neighborhood search approach for cell clustering for spatial transcriptomics

一种用于空间转录组学细胞聚类的新型可变邻域搜索方法

Djordjevic, Aleksandra; Li, Junhua; Fang, Shuangsang; Cao, Lei; Ivanovic, Marija

BatchEval Pipeline: batch effect evaluation workflow for multiple datasets joint analysis

批量评估流程:用于多数据集联合分析的批量效应评估工作流程

Zhang, Chao; Kang, Qiang; Li, Mei; Xie, Hongqing; Fang, Shuangsang; Xu, Xun

SAW: an efficient and accurate data analysis workflow for Stereo-seq spatial transcriptomics

SAW:一种高效、准确的立体测序空间转录组学数据分析工作流程

Gong, Chun; Li, Shengkang; Wang, Leying; Zhao, Fuxiang; Fang, Shuangsang; Yuan, Dong; Zhao, Zijian; He, Qiqi; Li, Mei; Liu, Weiqing; Li, Zhaoxun; Xie, Hongqing; Liao, Sha; Chen, Ao; Zhang, Yong; Li, Yuxiang; Xu, Xun

Generating single-cell gene expression profiles for high-resolution spatial transcriptomics based on cell boundary images

基于细胞边界图像生成高分辨率空间转录组学的单细胞基因表达谱

Zhang, Bohan; Li, Mei; Kang, Qiang; Deng, Zhonghan; Qin, Hua; Su, Kui; Feng, Xiuwen; Chen, Lichuan; Liu, Huanlin; Fang, Shuangsang; Zhang, Yong; Li, Yuxiang; Brix, Susanne; Xu, Xun