Search Results - "Wu, Chengkun"

ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties by Xiong, Guoli, Wu, Zhenxing, Yi, Jiacai, Fu, Li, Yang, Zhijiang, Hsieh, Changyu, Yin, Mingzhu, Zeng, Xiangxiang, Wu, Chengkun, Lu, Aiping, Chen, Xiang, Hou, Tingjun, Cao, Dongsheng

“…Abstract Because undesirable pharmacokinetics and toxicity of candidate compounds are the main reasons for the failure of drug development, it has been widely…”
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A risk factor attention-based model for cardiovascular disease prediction by Qiu, Yanlong, Wang, Wei, Wu, Chengkun, Zhang, Zhichang

“…Abstract Background Cardiovascular disease (CVD) is a serious disease that endangers human health and is one of the main causes of death. Therefore, using the…”
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CGINet: graph convolutional network-based model for identifying chemical-gene interaction in an integrated multi-relational graph by Wang, Wei, Yang, Xi, Wu, Chengkun, Yang, Canqun

“…Elucidation of interactive relation between chemicals and genes is of key relevance not only for discovering new drug leads in drug development but also for…”
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SARS-CoV-2 Omicron RBD shows weaker binding affinity than the currently dominant Delta variant to human ACE2 by Wu, Leyun, Zhou, Liping, Mo, Mengxia, Liu, Tingting, Wu, Chengkun, Gong, Chunye, Lu, Kai, Gong, Likun, Zhu, Weiliang, Xu, Zhijian

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Dependency-based long short term memory network for drug-drug interaction extraction by Wang, Wei, Yang, Xi, Yang, Canqun, Guo, Xiaowei, Zhang, Xiang, Wu, Chengkun

“…Drug-drug interaction extraction (DDI) needs assistance from automated methods to address the explosively increasing biomedical texts. In recent years, deep…”
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Mining a stroke knowledge graph from literature by Yang, Xi, Wu, Chengkun, Nenadic, Goran, Wang, Wei, Lu, Kai

“…Abstract Background Stroke has an acute onset and a high mortality rate, making it one of the most fatal diseases worldwide. Its underlying biology and…”
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Mining microbe–disease interactions from literature via a transfer learning model by Wu, Chengkun, Xiao, Xinyi, Yang, Canqun, Chen, JinXiang, Yi, Jiacai, Qiu, Yanlong

“…Abstract Background Interactions of microbes and diseases are of great importance for biomedical research. However, large-scale of microbe–disease interactions…”
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Correction to: Mining a stroke knowledge graph from literature by Yang, Xi, Wu, Chengkun, Nenadic, Goran, Wang, Wei, Lu, Kai

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Denoise for propeller acoustic signals based on the improved wavelet thresholding algorithm of CEEMDAN by Chengkun, Wu, Zhifeng, Zhu, Bohua, Cai, Yong, Yao

“…AbstractThe primary objective of this study is to address the issue of noise in underwater propeller signals. The motivation for this research arises from the…”
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GTZ: a fast compression and cloud transmission tool optimized for FASTQ files by Xing, Yuting, Li, Gen, Wang, Zhenguo, Feng, Bolun, Song, Zhuo, Wu, Chengkun

“…The dramatic development of DNA sequencing technology is generating real big data, craving for more storage and bandwidth. To speed up data sharing and bring…”
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Constructing a database for the relations between CNV and human genetic diseases via systematic text mining by Yang, Xi, Song, Zhuo, Wu, Chengkun, Wang, Wei, Li, Gen, Zhang, Wei, Wu, Lingqian, Lu, Kai

“…The detection and interpretation of CNVs are of clinical importance in genetic testing. Several databases and web services are already being used by clinical…”
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GT-WGS: an efficient and economic tool for large-scale WGS analyses based on the AWS cloud service by Wang, Yiqi, Li, Gen, Ma, Mark, He, Fazhong, Song, Zhuo, Zhang, Wei, Wu, Chengkun

“…Whole-genome sequencing (WGS) plays an increasingly important role in clinical practice and public health. Due to the big data size, WGS data analysis is…”
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ParaBTM: A Parallel Processing Framework for Biomedical Text Mining on Supercomputers by Xing, Yuting, Wu, Chengkun, Yang, Xi, Wang, Wei, Zhu, En, Yin, Jianping

“…A prevailing way of extracting valuable information from biomedical literature is to apply text mining methods on unstructured texts. However, the massive…”
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An Interface for Biomedical Big Data Processing on the Tianhe-2 Supercomputer by Yang, Xi, Wu, Chengkun, Lu, Kai, Fang, Lin, Zhang, Yong, Li, Shengkang, Guo, Guixin, Du, YunFei

“…Big data, cloud computing, and high-performance computing (HPC) are at the verge of convergence. Cloud computing is already playing an active part in big data…”
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Ultrafast Random‐Pyramid Texturing for Efficient Monocrystalline Silicon Solar Cells by Zhu, Lei, Zou, Shuai, Ni, Mengfei, Ding, Jianming, Wu, Chengkun, Lu, Zheng, Zeng, Yulian, Ye, Xiaoya, Wang, Xusheng, Fan, Ronglei, Sun, Hua, Liao, Baochen, Xu, Yadong, Shen, Mingrong, Su, Xiaodong

“…Herein, an ultrafast random‐pyramid texturing process is proposed for monocrystalline silicon (mono‐Si) solar cells by combining metal‐catalyzed chemical…”
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GTX.Digest.VCF: an online NGS data interpretation system based on intelligent gene ranking and large-scale text mining by Jiang, Yanhuang, Wu, Chengkun, Zhang, Yanghui, Zhang, Shaowei, Yu, Shuojun, Lei, Peng, Lu, Qin, Xi, Yanwei, Wang, Hua, Song, Zhuo

“…An important task in the interpretation of sequencing data is to highlight pathogenic genes (or detrimental variants) in the field of Mendelian diseases. It is…”
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PathNER: a tool for systematic identification of biological pathway mentions in the literature by Wu, Chengkun, Schwartz, Jean-Marc, Nenadic, Goran

“…Biological pathways are central to many biomedical studies and are frequently discussed in the literature. Several curated databases have been established to…”
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Long Short-Term Memory Network for Development and Simulation of Warfarin Dosing Model Based on Time Series Anticoagulant Data by Kuang, Yun, Liu, Yaxin, Pei, Qi, Ning, Xiaoyi, Zou, Yi, Liu, Liming, Song, Long, Guo, Chengxian, Sun, Yuanyuan, Deng, Kunhong, Zou, Chan, Cao, Dongsheng, Cui, Yimin, Wu, Chengkun, Yang, Guoping

“…Warfarin is an effective treatment for thromboembolic disease but has a narrow therapeutic index, and dosage can differ tremendously among individuals. The…”
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HFN: Heterogeneous feature network for multivariate time series anomaly detection by Zhan, Jun, Wu, Chengkun, Yang, Canqun, Miao, Qiucheng, Ma, Xiandong

“…As the key step of anomaly detection for multivariate time-series (MTS) data, learning the relations among different variables has been explored by many…”
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Abnormal vibration detection of wind turbine based on temporal convolution network and multivariate coefficient of variation by Zhan, Jun, Wu, Chengkun, Ma, Xiandong, Yang, Canqun, Miao, Qiucheng, Wang, Shilin

“…•High-resolution (1 Hz) SCADA data with both time and frequency domain information being considered.•A framework based on the spectrum-embedded temporal…”
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