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

Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer.

结合空间转录组学、伪时间和机器学习技术,可以发现前列腺癌的生物标志物

Smelik Martin, Diaz-Roncero Gonzalez Daniel, An Xiaojing, Heer Rakesh, Henningsohn Lars, Li Xinxiu, Wang Hui, Zhao Yelin, Benson Mikael

Proteogenomic analysis reveals Arp 2/3 complex as a common molecular mechanism in high risk pancreatic cysts and pancreatic cancer

蛋白质基因组学分析揭示Arp 2/3复合物是高危胰腺囊肿和胰腺癌的共同分子机制。

Mahmud, A K M Firoj; Mansour Aly, Dina Gamaleldin; Zhao, Yelin; Benson, Mikael; Smelik, Martin; Sysoev, Oleg; Wang, Hui; Li, Xinxiu

Transcript and protein signatures derived from shared molecular interactions across cancers are associated with mortality

源自癌症间共有分子相互作用的转录组和蛋白质特征与死亡率相关。

Zhao, Yelin; Li, Xinxiu; Loscalzo, Joseph; Smelik, Martin; Sysoev, Oleg; Wang, Yunzhang; Mahmud, A K M Firoj; Mansour Aly, Dina; Benson, Mikael

Multiomics biomarkers were not superior to clinical variables for pan-cancer screening

多组学生物标志物在泛癌筛查方面并不优于临床变量。

Smelik, Martin; Zhao, Yelin; Mansour Aly, Dina; Mahmud, Akm Firoj; Sysoev, Oleg; Li, Xinxiu; Benson, Mikael