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浏览/检索结果: 共9条，第1-9条 帮助 限定条件 发表日期：2020    专题：新疆理化技术研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名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 DBMDA: A Unified Embedding for Sequence-Based miRNA Similarity Measure with Applications to Predict and Validate miRNA-Disease Associations 期刊论文 MOLECULAR THERAPY-NUCLEIC ACIDS, 2020, 卷号: 19, 期号: 3, 页码: 602-611 作者:  Zheng, K (Zheng, Kai)[ 1 ];  You, ZH (You, Zhu-Hong)[ 2 ];  Wang, L (Wang, Lei)[ 2,3 ];  Zhou, Y (Zhou, Yong)[ 1 ];  Li, LP (Li, Li-Ping)[ 2 ] 收藏  |  浏览/下载：48/0  |  提交时间：2020/04/21 GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm 期刊论文 PLOS COMPUTATIONAL BIOLOGY, 2020, 卷号: 16, 期号: 5, 页码: 1-19 作者:  Wang, L (Wang, Lei)[ 1,2 ];  You, ZH (You, Zhu-Hong)[ 2 ];  Li, YM (Li, Yang-Ming)[ 3 ];  Zheng, K (Zheng, Kai)[ 4 ];  Huang, YA (Huang, Yu-An)[ 5 ] 收藏  |  浏览/下载：29/0  |  提交时间：2020/07/06 iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation 期刊论文 PLOS COMPUTATIONAL BIOLOGY, 2020, 卷号: 16, 期号: 5, 页码: 1-22 作者:  Zheng, K (Zheng, Kai)[ 1 ];  You, ZH (You, Zhu-Hong)[ 2 ];  Li, JQ (Li, Jian-Qiang)[ 3 ];  Wang, L (Wang, Lei)[ 2,4 ];  Guo, ZH (Guo, Zhen-Hao)[ 2 ] 收藏  |  浏览/下载：35/0  |  提交时间：2020/07/06 An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network 期刊论文 BIOINFORMATICS, 2020, 卷号: 36, 期号: 13, 页码: 4038-4046 作者:  Wang, L (Wang, Lei)[ 1 ];  You, ZH (You, Zhu-Hong)[ 1 ];  Huang, YA (Huang, Yu-An)[ 2 ];  Huang, DS (Huang, De-Shuang)[ 3 ];  Chan, KCC (Chan, Keith C. C.)[ 2 ] 收藏  |  浏览/下载：15/0  |  提交时间：2020/09/09 Identification of potential drug-targets by combining evolutionary information extracted from frequency profiles and molecular topological structures 期刊论文 CHEMICAL BIOLOGY & DRUG DESIGN, 2020, 卷号: 96, 期号: 2, 页码: 758-767 作者:  Wang, L (Wang, Lei)[ 1,2 ];  You, ZH (You, Zhu-Hong)[ 2 ];  Li, LP (Li, Li-Ping)[ 2 ];  Yan, X (Yan, Xin)[ 3 ];  Zhang, W (Zhang, Wei)[ 1 ] 收藏  |  浏览/下载：48/0  |  提交时间：2020/11/04 drug-target interaction  rotation forest  two-dimensional principal component analysis   Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions 期刊论文 IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 3, 页码: 972-980 作者:  Wang, L (Wang, Lei)[ 1 ];  You, ZH (You, Zhu-Hong)[ 2 ];  Huang, DS (Huang, De-Shuang)[ 3 ];  Zhou, FF (Zhou, Fengfeng)[ 4,5 ] 收藏  |  浏览/下载：27/0  |  提交时间：2020/12/09 Proteins  RNA  Convolution  Neural networks  Benchmark testing  Feature extraction  Sparse matrices  Convolution neural network  extreme learning machine  RNA-protein interactions  sequence   Incorporating chemical sub-structures and protein evolutionary information for inferring drug-target interactions 期刊论文 SCIENTIFIC REPORTS, 2020, 卷号: 10, 期号: 1, 页码: 1-11 作者:  Wang, L (Wang, Lei)[ 1,2 ];  You, ZH (You, Zhu-Hong)[ 2 ];  Li, LP (Li, Li-Ping)[ 2 ];  Yan, X (Yan, Xin)[ 3 ];  Zhang, W (Zhang, Wei)[ 1 ] 收藏  |  浏览/下载：26/0  |  提交时间：2020/12/09 GANCDA: a novel method for predicting circRNA-disease associations based on deep generative adversarial network 期刊论文 INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 2020, 卷号: 23, 期号: 3, 页码: 265-283 作者:  Yan, X (Yan, Xin)[ 1 ];  Wang, L (Wang, Lei)[ 2,3 ];  You, ZH (You, Zhu-Hong)[ 3 ];  Li, LP (Li, Li-Ping)[ 3 ];  Zheng, K (Zheng, Kai)[ 4 ] 收藏  |  浏览/下载：256/0  |  提交时间：2020/12/11 circular RNA  diseases  CircRNA-disease association  generative adversarial network  logistic model tree   NLPEI: A Novel Self-Interacting Protein Prediction Model Based on Natural Language Processing and Evolutionary Information 期刊论文 EVOLUTIONARY BIOINFORMATICS, 2020, 卷号: 16, 期号: 12, 页码: 1-12 作者:  Jia, LN (Jia, Li-Na)[ 1 ];  Yan, X (Yan, Xin)[ 2,3 ];  You, ZH (You, Zhu-Hong)[ 4 ];  Zhou, X (Zhou, Xi)[ 4 ];  Li, LP (Li, Li-Ping)[ 4 ] 收藏  |  浏览/下载：29/0  |  提交时间：2021/03/19 Self-interacting protein  natural language processing  evolutionary information  stacked auto-encoder