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

Deep learning identifies heterogeneous subpopulations in breast cancer cell lines

深度学习可识别乳腺癌细胞系中的异质性亚群

Matz, Timon W; Wang, Yang; Kulshreshtha, Ritika; Sampathkumar, Arun; Nikoloski, Zoran; Jost, Tyler A; Gardner, Andrea L; Morgan, Daylin; Brock, Amy

Deep learning identifies heterogeneous subpopulations in breast cancer cell lines

深度学习可识别乳腺癌细胞系中的异质性亚群

Jost, Tyler A; Gardner, Andrea L; Morgan, Daylin; Brock, Amy

Cell Barcoding Reveals Lineage-dependent Outcomes in hiPSC Cardiac Differentiation

细胞条形码揭示hiPSC心脏分化中谱系依赖性结果

Sohn, Sogu; Morgan, Daylin; Callahan, Cody; Dockery, Katelyn; Brock, Amy; Zoldan, Janet

Lineage Tracing Reveals Clone-Specific Responses to Doxorubicin in Triple-Negative Breast Cancer.

谱系追踪揭示了三阴性乳腺癌中克隆对阿霉素的特异性反应

Morgan Daylin, Gardner Andrea L, Brock Amy

Applications of high-resolution clone tracking technologies in cancer

高分辨率克隆追踪技术在癌症治疗中的应用

Morgan, Daylin; Jost, Tyler A; De Santiago, Carolina; Brock, Amy

Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancer

将转录组学和大量时间序列数据整合到一个数学框架中,以描述和预测癌症的治疗耐药性。

Johnson, Kaitlyn E; Howard, Grant R; Morgan, Daylin; Brenner, Eric A; Gardner, Andrea L; Durrett, Russell E; Mo, William; Al'Khafaji, Aziz; Sontag, Eduardo D; Jarrett, Angela M; Yankeelov, Thomas E; Brock, Amy