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

Machine learning analyses of highly-multiplexed immunofluorescence identifies distinct tumor and stromal cell populations in primary pancreatic tumors

利用机器学习分析高通量免疫荧光数据,可以识别原发性胰腺肿瘤中不同的肿瘤细胞和基质细胞群。

Vance, Krysten; Alitinok, Alphan; Winfree, Seth; Jensen-Smith, Heather; Swanson, Benjamin J; Grandgenett, Paul M; Klute, Kelsey A; Crichton, Daniel J; Hollingsworth, Michael A

Erratum to: Machine learning analyses of highly-multiplexed immunofluorescence identifies distinct tumor and stromal cell populations in primary pancreatic tumors

更正:机器学习分析高通量免疫荧光可识别原发性胰腺肿瘤中不同的肿瘤细胞和基质细胞群

Vance, Krysten; Alitinok, Alphan; Winfree, Seth; Jensen-Smith, Heather; Swanson, Benjamin J; Grandgenett, Paul M; Klute, Kelsey A; Crichton, Daniel J; Hollingsworth, Michael A