Witold R相关文献与解析，生知库 | 链接生命科学的每一步

Identification of Candidate Therapeutic Genes for More Precise Treatment of Esophageal Squamous Cell Carcinoma and Adenocarcinoma

鉴定用于更精准治疗食管鳞状细胞癌和腺癌的候选治疗基因

doi:10.3389/fgene.2022.844542

Polewko-Klim, Aneta; Zhu, Sibo; Wu, Weicheng; Xie, Yijing; Cai, Ning; Zhang, Kexun; Zhu, Zhen; Qing, Tao; Yuan, Ziyu; Xu, Kelin; Zhang, Tiejun; Lu, Ming; Ye, Weimin; Chen, Xingdong; Suo, Chen; Rudnicki, Witold R

Integration of human cell lines gene expression and chemical properties of drugs for Drug Induced Liver Injury prediction

整合人类细胞系基因表达和药物化学性质预测药物性肝损伤

期刊:Biology Direct

影响因子:4.9

doi:10.1186/s13062-020-00286-z

Lesiński, Wojciech; Mnich, Krzysztof; Golińska, Agnieszka Kitlas; Rudnicki, Witold R

Prediction of Alternative Drug-Induced Liver Injury Classifications Using Molecular Descriptors, Gene Expression Perturbation, and Toxicology Reports

利用分子描述符、基因表达扰动和毒理学报告预测药物性肝损伤的替代分类

期刊:Frontiers in Genetics

影响因子:2.8

doi:10.3389/fgene.2021.661075

Lesiński, Wojciech; Mnich, Krzysztof; Rudnicki, Witold R

Sensitivity analysis based on the random forest machine learning algorithm identifies candidate genes for regulation of innate and adaptive immune response of chicken

基于随机森林机器学习算法的敏感性分析，鉴定出调控鸡先天性和适应性免疫反应的候选基因。

期刊:Poultry Science

影响因子:4.2

doi:10.1016/j.psj.2020.08.059

Polewko-Klim, Aneta; Lesiński, Wojciech; Golińska, Agnieszka Kitlas; Mnich, Krzysztof; Siwek, Maria; Rudnicki, Witold R

The need for standardisation in life science research - an approach to excellence and trust

生命科学研究标准化的必要性——迈向卓越与信任之路

期刊:F1000Research

影响因子:

doi:10.12688/f1000research.27500.2

Hollmann, Susanne; Kremer, Andreas; Baebler, Špela; Trefois, Christophe; Gruden, Kristina; Rudnicki, Witold R; Tong, Weida; Gruca, Aleksandra; Bongcam-Rudloff, Erik; Evelo, Chris T; Nechyporenko, Alina; Frohme, Marcus; Šafránek, David; Regierer, Babette; D'Elia, Domenica

发表日期：2020

文献求助收藏

Integration of multiple types of genetic markers for neuroblastoma may contribute to improved prediction of the overall survival

整合多种神经母细胞瘤遗传标记可能有助于提高对总体生存率的预测。

期刊:Biology Direct

影响因子:4.9

doi:10.1186/s13062-018-0222-9

Polewko-Klim, Aneta; Lesiński, Wojciech; Mnich, Krzysztof; Piliszek, Radosław; Rudnicki, Witold R

细胞生物学

发表日期：2018

文献求助收藏

Antimicrobial resistance in diverse urban microbiomes: uncovering patterns and predictive markers

城市多样化微生物群落中的抗菌素耐药性：揭示模式和预测标志物

HCS-hierarchical algorithm for simulation of omics datasets

用于模拟组学数据集的HCS层次算法

Computational Analysis Identifies Novel Biomarkers for High-Risk Bladder Cancer Patients

计算分析鉴定出高危膀胱癌患者的新型生物标志物

Identification of Candidate Therapeutic Genes for More Precise Treatment of Esophageal Squamous Cell Carcinoma and Adenocarcinoma

鉴定用于更精准治疗食管鳞状细胞癌和腺癌的候选治疗基因

Integration of human cell lines gene expression and chemical properties of drugs for Drug Induced Liver Injury prediction

整合人类细胞系基因表达和药物化学性质预测药物性肝损伤

Prediction of Alternative Drug-Induced Liver Injury Classifications Using Molecular Descriptors, Gene Expression Perturbation, and Toxicology Reports

利用分子描述符、基因表达扰动和毒理学报告预测药物性肝损伤的替代分类

Sensitivity analysis based on the random forest machine learning algorithm identifies candidate genes for regulation of innate and adaptive immune response of chicken

基于随机森林机器学习算法的敏感性分析，鉴定出调控鸡先天性和适应性免疫反应的候选基因。

The need for standardisation in life science research - an approach to excellence and trust

生命科学研究标准化的必要性——迈向卓越与信任之路

Integration of multiple types of genetic markers for neuroblastoma may contribute to improved prediction of the overall survival

整合多种神经母细胞瘤遗传标记可能有助于提高对总体生存率的预测。