中国科学院重庆绿色智能技术研究院机构知识库

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限定条件	发表日期：2024    语种：英语    文献类型：期刊论文

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择WOS被引频次升序WOS被引频次降序题名升序题名降序期刊影响因子升序期刊影响因子降序作者升序作者降序发表日期升序发表日期降序提交时间升序提交时间降序
	Characterization of risks and pathogenesis of respiratory diseases caused by rural atmospheric PM2.5 期刊论文 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 914, 页码: 14 作者:  Zhang, Ronghua;  Li, Xiaomeng;  Li, Xuan;  Zhang, Qin;  Tang, Jiancai;  Liu, Zhenzhong;  Song, Guiqin;  Jiang, Li;  Yang, Fumo;  Zhou, Jiawei;  Che, Hanxiong;  Han, Yan;  Qi, Xin;  Chen, Yang;  Zhang, Shumin 收藏  |  浏览/下载：52/0  |  提交时间：2024/04/07 PM2.5  Respiratory diseases  Rural atmosphere  RRM2
	scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data 期刊论文 BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: 12 作者:  Zhou, Songqi;  Li, Yang;  Wu, Wenyuan;  Li, Li 收藏  |  浏览/下载：8/0  |  提交时间：2024/07/12 multi-task learning  scRNA-seq  cell annotation  protein prediction  low-dimensional embedding
	scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data 期刊论文 BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: 12 作者:  Zhou, Songqi;  Li, Yang;  Wu, Wenyuan;  Li, Li 收藏  |  浏览/下载：11/0  |  提交时间：2024/07/12 multi-task learning  scRNA-seq  cell annotation  protein prediction  low-dimensional embedding
	scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data 期刊论文 BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: 12 作者:  Zhou, Songqi;  Li, Yang;  Wu, Wenyuan;  Li, Li 收藏  |  浏览/下载：6/0  |  提交时间：2024/07/12 multi-task learning  scRNA-seq  cell annotation  protein prediction  low-dimensional embedding
	scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data 期刊论文 BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: 12 作者:  Zhou, Songqi;  Li, Yang;  Wu, Wenyuan;  Li, Li 收藏  |  浏览/下载：10/0  |  提交时间：2024/07/12 multi-task learning  scRNA-seq  cell annotation  protein prediction  low-dimensional embedding
	Recent Advances and Techniques for Identifying Novel Antibacterial Targets 期刊论文 CURRENT MEDICINAL CHEMISTRY, 2024, 卷号: 31, 期号: 4, 页码: 464-501 作者:  Nazli, Adila;  Qiu, Jingyi;  Tang, Ziyi;  He, Yun 收藏  |  浏览/下载：20/0  |  提交时间：2023/12/25 Antibacterial  omics  machine learning  bioinformatics  drug target  bacterial cytological profiling