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

A copula-infused graph neural network for cell type classification in single-cell RNA sequencing data

一种基于 copula 函数的图神经网络,用于单细胞 RNA 测序数据中的细胞类型分类

Min, Shijie; Lac, Leann; Hu, Pingzhao

Vegetation changes drive alterations in soil nutrients, heavy metals and microbial traits in alpine meadows

植被变化驱动高山草甸土壤养分、重金属和微生物特性的改变

Hou, Zheng; Dong, Chunfeng; Li, Zihui; Li, Rongbiao; Zhou, Kaixuan; Li, Yuanlong; Wang, Hu; Li, Pingzhao; Yang, Mengjiao; Zhang, Ya

USP38 functions as an oncoprotein by downregulating the p53 pathway through deubiquitination and stabilization of MDM2

USP38 通过去泛素化和稳定 MDM2 来下调 p53 通路,从而发挥癌蛋白的作用。

Zhao, Shanyu; Liu, Xiaoli; Luo, Rongkui; Jian, Zitao; Xu, Chen; Hou, Yingyong; Liu, Xiuping; Zhang, Pingzhao

Out of distribution learning in bioinformatics: advancements and challenges

生物信息学中的分布式学习:进展与挑战

Shi, Yu; Xu, Wei; Hu, Pingzhao

MolGraph-xLSTM as a graph-based dual-level xLSTM framework for enhanced molecular representation and interpretability

MolGraph-xLSTM 是一种基于图的双层 xLSTM 框架,用于增强分子表征和可解释性。

Sun, Yan; Lu, Yutong; Li, Yan Yi; Jing, Zihao; Leung, Carson K; Hu, Pingzhao

FusionCLM: enhanced molecular property prediction via knowledge fusion of chemical language models

FusionCLM:通过化学语言模型知识融合增强分子性质预测

Lu, Yutong; Li, Yan Yi; Sun, Yan; Hu, Pingzhao

An interpretable deep geometric learning model to predict the effects of mutations on protein-protein interactions using large-scale protein language model

一种可解释的深度几何学习模型,利用大规模蛋白质语言模型预测突变对蛋白质-蛋白质相互作用的影响

Zhang, Caiya; Sun, Yan; Hu, Pingzhao

Correction: Prostate cancer-associated SPOP mutations enhance cancer cell survival and docetaxel resistance by upregulating Caprin1-dependent stress granule assembly

更正:前列腺癌相关的SPOP突变通过上调Caprin1依赖性应激颗粒组装来增强癌细胞存活和多西他赛耐药性。

Shi, Qing; Zhu, Yasheng; Ma, Jian; Chang, Kun; Ding, Dongling; Bai, Yang; Gao, Kun; Zhang, Pingzhao; Mo, Ren; Feng, Kai; Zhao, Xiaying; Zhang, Liang; Sun, Huiru; Jiao, Dongyue; Chen, Yingji; Sun, Yinghao; Zhao, Shi-Min; Huang, Haojie; Li, Yao; Ren, Shancheng; Wang, Chenji

Conditional generative adversarial network driven radiomic prediction of mutation status based on magnetic resonance imaging of breast cancer

基于条件生成对抗网络的乳腺癌磁共振成像突变状态放射组学预测

Huang, Zi Huai; Chen, Lianghong; Sun, Yan; Liu, Qian; Hu, Pingzhao

A cross-cohort analysis of dental plaque microbiome in early childhood caries

一项针对早期儿童龋齿中牙菌斑微生物组的跨队列分析

Khan, Mohd Wasif; Fung, Daryl Lerh Xing; Schroth, Robert J; Chelikani, Prashen; Hu, Pingzhao