Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Qiuchen Meng"'
Autor:
Sijie Chen, Yanting Luo, Haoxiang Gao, Fanhong Li, Yixin Chen, Jiaqi Li, Renke You, Minsheng Hao, Haiyang Bian, Xi Xi, Wenrui Li, Weiyu Li, Mingli Ye, Qiuchen Meng, Ziheng Zou, Chen Li, Haochen Li, Yangyuan Zhang, Yanfei Cui, Lei Wei, Fufeng Chen, Xiaowo Wang, Hairong Lv, Kui Hua, Rui Jiang, Xuegong Zhang
Publikováno v:
iScience, Vol 25, Iss 5, Pp 104318- (2022)
Summary: The accumulation of massive single-cell omics data provides growing resources for building biomolecular atlases of all cells of human organs or the whole body. The true assembly of a cell atlas should be cell-centric rather than file-centric
Externí odkaz:
https://doaj.org/article/4443245c3093416e8c6100e8588b9049
Autor:
Jiaqi Li, Zhenbin Qiu, Chao Zhang, Sijie Chen, Mengmin Wang, Qiuchen Meng, Haiming Lu, Lei Wei, Hairong Lv, Wenzhao Zhong, Xuegong Zhang
Publikováno v:
European Radiology. 33:893-903
To quantify intra-tumor heterogeneity (ITH) in non-small cell lung cancer (NSCLC) from computed tomography (CT) images.We developed a quantitative ITH measurement-ITHscore-by integrating local radiomic features and global pixel distribution patterns.
scCRISPR-seq is an emerging high-throughput CRISPR screening technology that combines CIRPSR screening with single-cell sequencing technologies. It provides rich information on gene regulation. When performing scCRISPR-seq in a population of heteroge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1c074b5cba5d4d8c096be6e48d0ce2a
https://doi.org/10.1101/2023.01.31.526445
https://doi.org/10.1101/2023.01.31.526445
Autor:
Haoxiang Gao, Xiaowo Wang, Kui Hua, Yixin Chen, Ziheng Zou, Weiyu Li, Renke You, Xi Xi, Lei Wei, Fufeng Chen, Qiuchen Meng, Wenrui Li, Hairong Lv, Yanfei Cui, Chen Li, Xuegong Zhang, Minsheng Hao, Sijie Chen, Mingli Ye, Rui Jiang, Yangyuan Zhang, Fanhong Li, Jiaqi Li, Haiyang Bian, Haochen Li, Yanting Luo
Publikováno v:
iScience. 25(5)
SUMMARYSingle-cell omics data can characterize multifaceted features of massive cells and bring significant insights to biomedical researches. The accumulation of single-cell data provides growing resources for constructing atlases for all cells of a