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Optimal Network Slicing for Service-Oriented Networks With Flexible Routing and Guaranteed E2E Latency 期刊论文
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2021, 卷号: 18, 期号: 4, 页码: 4337-4352
作者:  Chen, Wei-Kun;  Liu, Ya-Feng;  De Domenico, Antonio;  Luo, Zhi-Quan;  Dai, Yu-Hong
收藏  |  浏览/下载：116/0  |  提交时间：2022/04/02
Routing  Cloud computing  Network slicing  Delays  5G mobile communication  Service function chaining  Data centers  Energy efficiency  E2E delay  network function virtualization  network slicing  resource allocation  service function chain  
DeepDigest: Prediction of Protein Proteolytic Digestion with Deep Learning 期刊论文
ANALYTICAL CHEMISTRY, 2021, 卷号: 93, 期号: 15, 页码: 6094-6103
作者:  Yang, Jinghan;  Gao, Zhiqiang;  Ren, Xiuhan;  Sheng, Jie;  Xu, Ping;  Chang, Cheng;  Fu, Yan
收藏  |  浏览/下载：146/0  |  提交时间：2021/10/26
hReg-CNCC reconstructs a regulatory network in human cranial neural crest cells and annotates variants in a developmental context 期刊论文
COMMUNICATIONS BIOLOGY, 2021, 卷号: 4, 期号: 1, 页码: 16
作者:  Feng, Zhanying;  Duren, Zhana;  Xiong, Ziyi;  Wang, Sijia;  Liu, Fan;  Wong, Wing Hung;  Wang, Yong
收藏  |  浏览/下载：184/0  |  提交时间：2021/06/01
Supplier's goal setting considering sustainability: An uncertain dynamic Data Envelopment Analysis based benchmarking model 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 545, 页码: 44-64
作者:  Zhou, Xiaoyang;  Li, Linzi;  Wen, Haoyu;  Tian, Xin;  Wang, Shouyang;  Lev, Benjamin
收藏  |  浏览/下载：133/0  |  提交时间：2021/04/26
Goal setting  Sustainability  Uncertain dynamic DEA  Fuzzy data  
3D Genome of macaque fetal brain reveals evolutionary innovations during primate corticogenesis 期刊论文
CELL, 2021, 卷号: 184, 期号: 3, 页码: 723-+
作者:  Luo, Xin;  Liu, Yuting;  Dang, Dachang;  Hu, Ting;  Hou, Yingping;  Meng, Xiaoyu;  Zhang, Fengyun;  Li, Tingting;  Wang, Can;  Li, Min;  Wu, Haixu;  Shen, Qiushuo;  Hu, Yan;  Zeng, Xuerui;  He, Xiechao;  Yan, Lanzhen;  Zhang, Shihua;  Li, Cheng;  Su, Bing
收藏  |  浏览/下载：165/0  |  提交时间：2021/06/01
An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 卷号: 18, 期号: 1, 页码: 355-364
作者:  Jing, Fang;  Zhang, Shao-Wu;  Cao, Zhen;  Zhang, Shihua
收藏  |  浏览/下载：174/0  |  提交时间：2021/04/26
Bioinformatics  machine learning  transcription factors binding sites  convolutional neural networks  DNA accessibility  histone modification