Lenhof相关文献与解析，生知库 | 链接生命科学的每一步

Eckhart, Lea; Rau, Sabrina; Eckstein, Markus; Stahl, Phillip R; Ayoubian, Hiresh; Heinzelbecker, Julia; Zohari, Farzaneh; Hartmann, Arndt; Stöckle, Michael; Lenhof, Hans-Peter; Junker, Kerstin

miRNA

肿瘤

肿瘤免疫

膀胱癌

发表日期：2025

文献求助收藏

How to predict effective drug combinations - moving beyond synergy scores

如何预测有效的药物组合——超越协同作用评分

期刊:iScience

影响因子:4.1

doi:10.1016/j.isci.2025.112622

Eckhart, Lea; Lenhof, Kerstin; Herrmann, Lutz; Rolli, Lisa-Marie; Lenhof, Hans-Peter

发表日期：2025

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Expanding the immune-related targetome of miR-155-5p by integrating time-resolved RNA patterns into miRNA target prediction

通过将时间分辨的RNA模式整合到miRNA靶标预测中，扩展miR-155-5p的免疫相关靶标组

期刊:RNA Biology

影响因子:3.4

doi:10.1080/15476286.2025.2449775

Hart, Martin; Diener, Caroline; Rheinheimer, Stefanie; Kehl, Tim; Keller, Andreas; Lenhof, Hans-Peter; Meese, Eckart

Identifying Latent Profiles of Healthy Adults' Biopsychosocial Pain Concepts

识别健康成年人生物心理社会疼痛概念的潜在特征

期刊:Pain Research & Management

影响因子:3

doi:10.1155/prm/5706849

Lenhof, Catherina; Dukek, Laura; Wickering, Linda; Hitschler, Lena; Schneider, Michael; Hechler, Tanja

发表日期：2025

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A comprehensive benchmarking of machine learning algorithms and dimensionality reduction methods for drug sensitivity prediction

对用于药物敏感性预测的机器学习算法和降维方法进行全面基准测试

期刊:Briefings in Bioinformatics

影响因子:7.7

doi:10.1093/bib/bbae242

Eckhart, Lea; Lenhof, Kerstin; Rolli, Lisa-Marie; Lenhof, Hans-Peter

发表日期：2024

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Trust me if you can: a survey on reliability and interpretability of machine learning approaches for drug sensitivity prediction in cancer

相信我：一项关于机器学习方法在癌症药物敏感性预测中的可靠性和可解释性的调查

期刊:Briefings in Bioinformatics

影响因子:7.7

doi:10.1093/bib/bbae379

Lenhof, Kerstin; Eckhart, Lea; Rolli, Lisa-Marie; Lenhof, Hans-Peter

Reliable anti-cancer drug sensitivity prediction and prioritization

可靠的抗癌药物敏感性预测和优先级排序

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-024-62956-6

Lenhof, Kerstin; Eckhart, Lea; Rolli, Lisa-Marie; Volkamer, Andrea; Lenhof, Hans-Peter

The impact of the tumor microenvironment on the survival of penile cancer patients

肿瘤微环境对阴茎癌患者生存的影响

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-024-70855-z

Lohse, Stefan; Mink, Jan Niklas; Eckhart, Lea; Hans, Muriel Charlotte; Jusufi, Leuart; Zwick, Anabel; Mohr, Tobias; Bley, Isabelle Ariane; Khalmurzaev, Oybek; Matveev, Vsevolod Borisovich; Loertzer, Philine; Pryalukhin, Alexey; Hartmann, Arndt; Geppert, Carol-Immanuel; Loertzer, Hagen; Wunderlich, Heiko; Lenhof, Hans-Peter; Naumann, Carsten Maik; Kalthoff, Holger; Junker, Kerstin

Cas9-mediated knockout of Ndrg2 enhances the regenerative potential of dendritic cells for wound healing

Cas9 介导的 Ndrg2 敲除增强了树突状细胞用于伤口愈合的再生潜力

期刊:Nature Communications

影响因子:14.7

doi:10.1038/s41467-023-40519-z

Dominic Henn, Dehua Zhao #, Dharshan Sivaraj #, Artem Trotsyuk, Clark Andrew Bonham, Katharina S Fischer, Tim Kehl, Tobias Fehlmann, Autumn H Greco, Hudson C Kussie, Sylvia E Moortgat Illouz, Jagannath Padmanabhan, Janos A Barrera, Ulrich Kneser, Hans-Peter Lenhof, Michael Januszyk, Benjamin Levi, A

Time-resolved RNA signatures of CD4+ T cells in Parkinson's disease

帕金森病中CD4+ T细胞的时间分辨RNA特征

期刊:Cell Death Discovery

影响因子:7

doi:10.1038/s41420-023-01333-0

Diener, Caroline; Hart, Martin; Kehl, Tim; Becker-Dorison, Anouck; Tänzer, Tanja; Schub, David; Krammes, Lena; Sester, Martina; Keller, Andreas; Unger, Marcus; Walch-Rückheim, Barbara; Lenhof, Hans-Peter; Meese, Eckart

Machine Learning Accurately Predicts Muscle Invasion of Bladder Cancer Based on Three miRNAs

基于三种miRNA的机器学习方法可准确预测膀胱癌的肌层浸润

How to predict effective drug combinations - moving beyond synergy scores

如何预测有效的药物组合——超越协同作用评分

Expanding the immune-related targetome of miR-155-5p by integrating time-resolved RNA patterns into miRNA target prediction

通过将时间分辨的RNA模式整合到miRNA靶标预测中，扩展miR-155-5p的免疫相关靶标组

Identifying Latent Profiles of Healthy Adults' Biopsychosocial Pain Concepts

识别健康成年人生物心理社会疼痛概念的潜在特征

A comprehensive benchmarking of machine learning algorithms and dimensionality reduction methods for drug sensitivity prediction

对用于药物敏感性预测的机器学习算法和降维方法进行全面基准测试

Trust me if you can: a survey on reliability and interpretability of machine learning approaches for drug sensitivity prediction in cancer

相信我：一项关于机器学习方法在癌症药物敏感性预测中的可靠性和可解释性的调查

Reliable anti-cancer drug sensitivity prediction and prioritization

可靠的抗癌药物敏感性预测和优先级排序

The impact of the tumor microenvironment on the survival of penile cancer patients

肿瘤微环境对阴茎癌患者生存的影响

Cas9-mediated knockout of Ndrg2 enhances the regenerative potential of dendritic cells for wound healing

Cas9 介导的 Ndrg2 敲除增强了树突状细胞用于伤口愈合的再生潜力

Time-resolved RNA signatures of CD4+ T cells in Parkinson's disease

帕金森病中CD4+ T细胞的时间分辨RNA特征