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

The ADAPT learning cancer treatment system: ARPA-H's initiative to revolutionize cancer therapy

ADAPT学习型癌症治疗系统:ARPA-H旨在革新癌症治疗的计划

Bild, Andrea H; Sangar, Michelle C; McQuerry, Jasmine A; Ideker, Trey; Kopetz, Scott; Carey, Lisa; Nath, Aritro; Marcus, Daniel; Regier, Allison; Rashid, Naim; Barzilay, Regina; Winer, Eric; Salgia, Ravi; Malhotra, Jyoti; Gentles, Andrew; Buetow, Kenneth; Mahmood, Faisal; Markman, David W; Eddy, James A

Cross-platform comparison of gene expression-based cancer molecular subtyping reveals discrepancies with exome capture methods

基于基因表达的癌症分子分型方法的跨平台比较揭示了与外显子组捕获方法的差异

Lee, Jaewon J; Aldakkak, Mohammed; Morrison, Ashley B; Thalji, Sam Z; Peng, Xianlu L; Li, Yan; Gulley, Margaret L; Borazanci, Erkut H; Tsai, Susan; Rashid, Naim U; Yeh, Jen Jen

Efficient Computation of High-Dimensional Penalized Piecewise Constant Hazard Random Effects Models

高维惩罚分段常数风险随机效应模型的高效计算

Heiling, Hillary M; Rashid, Naim U; Li, Quefeng; Peng, Xianlu L; Yeh, Jen Jen; Ibrahim, Joseph G

Gene signatures derived from transcriptomic-causal networks stratify colorectal cancer patients for effective targeted therapy

基于转录组因果网络的基因特征可对结直肠癌患者进行分层,以便进行有效的靶向治疗。

Yazdani, Akram; Lenz, Heinz-Josef; Pillonetto, Gianluigi; Mendez-Giraldez, Raul; Yazdani, Azam; Sanoff, Hanna; Hadi, Reza; Samiei, Esmat; Venook, Alan P; Ratain, Mark J; Rashid, Naim; Vincent, Benjamin G; Qu, Xueping; Wen, Yujia; Kosorok, Michael; Symmans, William F; Shen, John Paul Y C; Lee, Michael S; Kopetz, Scott; Nixon, Andrew B; Bertagnolli, Monica M; Perou, Charles M; Innocenti, Federico

DNA Mutational Profiling in Patients With Colorectal Cancer Treated With Standard of Care Reveals Differences in Outcome and Racial Distribution of Mutations

对接受标准治疗的结直肠癌患者进行DNA突变谱分析,揭示了治疗结果和突变种族分布的差异

Innocenti, Federico; Mu, Wancen; Qu, Xueping; Ou, Fang-Shu; Kabbarah, Omar; Blanke, Charles David; Venook, Alan P; Lenz, Heinz-Josef; Rashid, Naim U

Tumor Intrinsic Subtypes and Gene Expression Signatures in Early-Stage ERBB2/HER2-Positive Breast Cancer: A Pooled Analysis of CALGB 40601, NeoALTTO, and NSABP B-41 Trials

早期ERBB2/HER2阳性乳腺癌的肿瘤内在亚型和基因表达特征:CALGB 40601、NeoALTTO和NSABP B-41试验的汇总分析

Fernandez-Martinez, Aranzazu; Rediti, Mattia; Tang, Gong; Pascual, Tomás; Hoadley, Katherine A; Venet, David; Rashid, Naim U; Spears, Patricia A; Islam, Md N; El-Abed, Sarra; Bliss, Judith; Lambertini, Matteo; Di Cosimo, Serena; Huobe, Jens; Goerlitz, David; Hu, Rong; Lucas, Peter C; Swain, Sandra M; Sotiriou, Christos; Perou, Charles M; Carey, Lisa A

Tumor-intrinsic and Cancer-associated Fibroblast Subtypes Independently Predict Outcomes in Pancreatic Cancer

肿瘤固有型和癌相关型成纤维细胞亚型可独立预测胰腺癌的预后

Lee, Jaewon J; Kearney, Joseph F; Trembath, Hannah E; Hariharan, Arthi; LaBella, Michelle E; Kharitonova, Elena V; Chan, Priscilla S; Morrison, Ashley B; Cliff, Ashley; Meyers, Michael O; Kim, Hong Jin; Rashid, Naim U; Peng, Xianlu L; Yeh, Jen Jen

Purity Independent Subtyping of Tumors (PurIST) Pancreatic Cancer Classifier: Analytic Validation of a 16-RNA Expression Signature Distinguishing Basal and Classical Subtypes

基于纯度无关的肿瘤亚型分类(PurIST)胰腺癌分类器:区分基底型和经典型亚型的16种RNA表达特征的分析验证

Li, Yan; Merker, Jason D; Kshatriya, Rachana; Trembath, Dimitri G; Morrison, Ashley B; Kuhlers, Peyton C; Rashid, Naim U; Yeh, Jen Jen; Gulley, Margaret L

Kinome state is predictive of cell viability in pancreatic cancer tumor and cancer-associated fibroblast cell lines.

激酶组状态可预测胰腺癌肿瘤和癌症相关成纤维细胞系的细胞活力

Berginski Matthew E, Jenner Madison R, Joisa Chinmaya U, Herrera Loeza Gabriela, Golitz Brian T, Lipner Matthew B, Leary Jack R, Rashid Naim, Johnson Gary L, Yeh Jen Jen, Gomez Shawn M

Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects

通过对随机效应进行潜在因子建模,高效计算高维惩罚广义线性混合模型。

Heiling, Hillary M; Rashid, Naim U; Li, Quefeng; Peng, Xianlu L; Yeh, Jen Jen; Ibrahim, Joseph G