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

Digital twins as global learning health and disease models for preventive and personalized medicine

数字孪生作为全球学习型健康和疾病模型,用于预防和个性化医疗

Li, Xinxiu; Loscalzo, Joseph; Mahmud, A K M Firoj; Aly, Dina Mansour; Rzhetsky, Andrey; Zitnik, Marinka; 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

Correction to: A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases

更正:一种经验证的基于单细胞的策略,用于识别复杂疾病的诊断和治疗靶点

Gawel, Danuta R; Serra-Musach, Jordi; Lilja, Sandra; Aagesen, Jesper; Arenas, Alex; Asking, Bengt; Bengnér, Malin; Björkander, Janne; Biggs, Sophie; Ernerudh, Jan; Hjortswang, Henrik; Karlsson, Jan-Erik; Köpsen, Mattias; Lee, Eun Jung; Lentini, Antonio; Li, Xinxiu; Magnusson, Mattias; Martínez-Enguita, David; Matussek, Andreas; Nestor, Colm E; Schäfer, Samuel; Seifert, Oliver; Sonmez, Ceylan; Stjernman, Henrik; Tjärnberg, Andreas; Wu, Simon; Åkesson, Karin; Shalek, Alex K; Stenmarker, Margaretha; Zhang, Huan; Gustafsson, Mika; Benson, Mikael

Meta-Analysis of Expression Profiling Data Indicates Need for Combinatorial Biomarkers in Pediatric Ulcerative Colitis

表达谱数据的荟萃分析表明,儿童溃疡性结肠炎需要组合生物标志物

Li, Xinxiu; Lee, Eun Jung; Gawel, Danuta R; Lilja, Sandra; Schäfer, Samuel; Zhang, Huan; Benson, Mikael

Estimating heritability and genetic correlations from large health datasets in the absence of genetic data

在缺乏遗传数据的情况下,如何利用大型健康数据集估计遗传力和遗传相关性

Jia, Gengjie; Li, Yu; Zhang, Hanxin; Chattopadhyay, Ishanu; Boeck Jensen, Anders; Blair, David R; Davis, Lea; Robinson, Peter N; Dahlén, Torsten; Brunak, Søren; Benson, Mikael; Edgren, Gustaf; Cox, Nancy J; Gao, Xin; Rzhetsky, Andrey

Translating genomic medicine to the clinic: challenges and opportunities

将基因组医学转化为临床应用:挑战与机遇

Zhang, Huan; Klareskog, Lars; Matussek, Andreas; Pfister, Stefan M; Benson, Mikael

Digital twins to personalize medicine

数字孪生技术助力个性化医疗

Björnsson, Bergthor; Borrebaeck, Carl; Elander, Nils; Gasslander, Thomas; Gawel, Danuta R; Gustafsson, Mika; Jörnsten, Rebecka; Lee, Eun Jung; Li, Xinxiu; Lilja, Sandra; Martínez-Enguita, David; Matussek, Andreas; Sandström, Per; Schäfer, Samuel; Stenmarker, Margaretha; Sun, X F; Sysoev, Oleg; Zhang, Huan; Benson, Mikael