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G

Gilbert S. Omenn

Institute for Systems Biology
H指数:92
被引数:4.2万

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Unlocking the Circulating Proteome: Toward Clinical Translation

解锁循环蛋白质组:迈向临床转化

2026-09-040
PRE
AI proteomics: from protein identification to virtual cells

AI蛋白质组学:从蛋白质鉴定到虚拟细胞

2026-07-280
PRE
Integrated proteogenomic and metabolomic profiling of acute myeloid leukemias to identify molecular subtypes and associated therapy targets

整合蛋白质组学和代谢组学分析急性髓系白血病以识别分子亚型及相关治疗靶点

2026-06-120
OA
The 2025 Report on the Human Proteome from the HUPO Human Proteome Project

2025年人类蛋白质组计划(HUPO Human Proteome Project)的人类蛋白质组报告

2026-01-050
PRE
Impact of COVID-19 non-pharmaceutical interventions on bacterial infections in children: an international electronic health record-based study

COVID-19非药物干预措施对儿童细菌感染的影响:一项基于国际电子健康记录的研究

2025-12-010
OA
A standardized framework for circulating blood proteomics

循环血液蛋白质组学的标准化框架

2025-09-230
PRE
Integrative analysis of lung adenocarcinoma across diverse ethnicities and exposures

不同种族和暴露因素下肺腺癌的整合分析

2025-07-310
OAAI
π-HuB: the proteomic navigator of the human body (Vol 636, pg 322, 2024)

π-HuB: 人体蛋白质组导航者 (Vol 636, pg 322, 2024)

NATURE
IF48.5
2024-12-230
PRE
The 2024 Report on the Human Proteome from the HUPO Human Proteome Project

HUPO人类蛋白质组计划人类蛋白质组的2024报告

2024-11-080
PRE
Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?

机器学习能否克服95% 失败率和只有30% 批准的癌症药物才能有意义地延长患者生存期的现实?

2024-09-100
PRE
Comprehensive proteogenomic characterization of rare kidney tumors

罕见肾肿瘤的综合蛋白质基因组学特征

2024-05-013
OAAI
To do no harm - and the most good - with AI in health care

在医疗保健中使用人工智能不造成伤害-也是最大的好处

2024-02-2222
PRE
Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study

通过电子健康记录数据的分布式表示学习来表征长COVID时间亚表型: 一项队列研究

2023-10-015
OAAI
Deep learning integrates histopathology and proteogenomics at a pan-cancer level

深度学习在泛癌症水平上整合了组织病理学和蛋白质基因组学

2023-09-016
OAAI
Potential pitfalls in the use of real-world data for studying long COVID

使用真实世界数据研究长COVID的潜在陷阱

2023-04-1310
OA
Comprehensive proteogenomic characterization of rare kidney tumors
2023-04-041
PRE