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

Identifying potential drug targets for postoperative abdominal wall hernia using Mendelian randomization: a multi-omics study

利用孟德尔随机化方法识别术后腹壁疝的潜在药物靶点:一项多组学研究

Sun, Chensong; Liu, Ga; Liu, Taobin; Gong, Haixia

Deciphering the immunological and prognostic features of bladder cancer through platinum-resistance-related genes analysis and identifying potential therapeutic target P4HB

通过铂类耐药相关基因分析揭示膀胱癌的免疫学和预后特征,并鉴定潜在治疗靶点P4HB

Xiong, Situ; Li, Sheng; Zeng, Jin; Nie, Jianqiang; Liu, Taobin; Liu, Xiaoqiang; Chen, Luyao; Fu, Bin; Deng, Jun; Xu, Songhui

Transcriptome sequencing and single-cell sequencing analysis identify GARS1 as a potential prognostic and immunotherapeutic biomarker for multiple cancers, including bladder cancer

转录组测序和单细胞测序分析表明,GARS1 可作为多种癌症(包括膀胱癌)的潜在预后和免疫治疗生物标志物。

Nie, Jianqiang; Liu, Taobin; Mao, Taotao; Yang, Hailang; Deng, Wen; Liu, Xiaoqiang; Fu, Bin

The value of EYA1/3/4 in clear cell renal cell carcinoma: a study from multiple databases

EYA1/3/4在透明细胞肾细胞癌中的价值:一项基于多数据库的研究

Liu, Taobin; Nie, Jianqiang; Zhang, Xiaoming; Deng, Xinxi; Fu, Bin

Development, comparison, and validation of four intelligent, practical machine learning models for patients with prostate-specific antigen in the gray zone

针对前列腺特异性抗原处于灰色地带的患者,开发、比较和验证四种智能、实用的机器学习模型

Liu, Taobin; Zhang, Xiaoming; Chen, Ru; Deng, Xinxi; Fu, Bin

Advances in the bladder cancer research using 3D culture models.

利用三维培养模型进行膀胱癌研究的进展

Gu Yexin, Lu Ye, Xiong Yunqiang, Zhan Xiangpeng, Liu Taobin, Tang Min, Xie An, Liu Xiaoqiang, Fu Bin