咨询与建议

限定检索结果

文献类型

  • 3,028 篇 会议
  • 522 篇 期刊文献
  • 189 册 图书

馆藏范围

  • 3,739 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,881 篇 工学
    • 1,372 篇 计算机科学与技术...
    • 585 篇 生物工程
    • 569 篇 电气工程
    • 528 篇 软件工程
    • 473 篇 生物医学工程(可授...
    • 162 篇 化学工程与技术
    • 156 篇 控制科学与工程
    • 153 篇 信息与通信工程
    • 65 篇 机械工程
    • 51 篇 光学工程
    • 38 篇 电子科学与技术(可...
    • 30 篇 交通运输工程
    • 24 篇 仪器科学与技术
    • 18 篇 动力工程及工程热...
  • 1,377 篇 理学
    • 1,116 篇 生物学
    • 697 篇 数学
    • 488 篇 统计学(可授理学、...
    • 177 篇 化学
    • 77 篇 物理学
    • 63 篇 系统科学
  • 273 篇 医学
    • 199 篇 基础医学(可授医学...
    • 107 篇 临床医学
    • 76 篇 药学(可授医学、理...
    • 66 篇 公共卫生与预防医...
  • 248 篇 管理学
    • 130 篇 管理科学与工程(可...
    • 90 篇 图书情报与档案管...
    • 40 篇 公共管理
    • 35 篇 工商管理
  • 124 篇 农学
    • 107 篇 作物学
  • 21 篇 法学
    • 20 篇 社会学
  • 16 篇 文学
  • 14 篇 教育学
  • 13 篇 经济学
  • 1 篇 艺术学

主题

  • 1,127 篇 bioinformatics
  • 487 篇 genomics
  • 414 篇 proteins
  • 371 篇 computational mo...
  • 348 篇 artificial intel...
  • 336 篇 biological syste...
  • 300 篇 computational bi...
  • 277 篇 biology computin...
  • 171 篇 computational in...
  • 162 篇 dna
  • 161 篇 sequences
  • 160 篇 gene expression
  • 155 篇 feature extracti...
  • 149 篇 diseases
  • 148 篇 machine learning
  • 143 篇 databases
  • 134 篇 predictive model...
  • 133 篇 data mining
  • 123 篇 humans
  • 123 篇 computational bi...

机构

  • 16 篇 indian stat inst...
  • 13 篇 ieee
  • 12 篇 jiangnan univ sc...
  • 12 篇 mit comp sci & a...
  • 11 篇 mit comp sci & a...
  • 11 篇 mit dept math ca...
  • 11 篇 department of co...
  • 11 篇 bioinformatics r...
  • 9 篇 indian stat inst...
  • 8 篇 fudan univ shang...
  • 8 篇 school of comput...
  • 8 篇 department of co...
  • 8 篇 college of compu...
  • 7 篇 inria nancy gran...
  • 7 篇 national center ...
  • 7 篇 icube université...
  • 7 篇 erasmus mc - uni...
  • 7 篇 brock univ dept ...
  • 7 篇 fudan univ inst ...
  • 7 篇 university of mi...

作者

  • 21 篇 de-shuang huang
  • 18 篇 bandyopadhyay sa...
  • 15 篇 rajapakse jagath...
  • 15 篇 berger bonnie
  • 14 篇 houghten sherida...
  • 13 篇 huseyin seker
  • 13 篇 tang jijun
  • 13 篇 amarda shehu
  • 13 篇 chauhan ritu
  • 13 篇 guo fei
  • 12 篇 ying xu
  • 11 篇 daniel ashlock
  • 11 篇 ignacio rojas
  • 11 篇 mohamad mohd sab...
  • 11 篇 ashlock daniel
  • 10 篇 n. karimi
  • 10 篇 seker huseyin
  • 10 篇 shinn-ying ho
  • 10 篇 jiang xingpeng
  • 10 篇 s. samavi

语言

  • 3,702 篇 英文
  • 18 篇 其他
  • 10 篇 中文
检索条件"任意字段=IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology"
3739 条 记 录,以下是411-420 订阅
排序:
Isoform Function Prediction Based on Heterogeneous Graph Attention Networks
Isoform Function Prediction Based on Heterogeneous Graph Att...
收藏 引用
2023 ieee International conference on bioinformatics and Biomedicine, BIBM 2023
作者: Guo, Kuo Li, Yifan Chen, Hao Shen, Hong-Bin Yang, Yang Shanghai Jiao Tong University Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Department of Computer Science and Engineering Shanghai200240 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Institute of Image Processing and Pattern Recognition Shanghai200240 China Carnegie Mellon University School of Computer Science Computational Biology Department PittsburghPA15213 United States
Isoforms refer to different mRNA molecules transcribed from the same gene, which can be translated into proteins with varying structures and functions. Predicting the functions of isoforms is an essential topic in bio... 详细信息
来源: 评论
Orienting Conflicted Graph Edges Using Genetic Algorithms to Discover Pathways in Protein-Protein Interaction Networks
收藏 引用
ieee-ACM TRANSACTIONS ON computational biology AND bioinformatics 2021年 第5期18卷 1970-1985页
作者: Iqbal, Shahid Halim, Zahid Monash Univ Fac Informat Technol Data Sci & AI Grp Melbourne Vic 3800 Australia Ghulam Ishaq Khan Inst Engn Sci & Technol Machine Intelligence Res Grp MInG Fac Comp Sci & Engn Topi 23460 Khyber Pakhtunk Pakistan
Advanced computational techniques of the current era help to identify proteins from the complex biological network that interact with each other and with the cell's environment. Biological pathways are a chain of ... 详细信息
来源: 评论
Spiking Approximations of the MaxPooling Operation in Deep SNNs
Spiking Approximations of the MaxPooling Operation in Deep S...
收藏 引用
ieee International conference on Fuzzy Systems (FUZZ-ieee) / ieee World Congress on computational intelligence (ieee WCCI) / International Joint conference on Neural Networks (IJCNN) / ieee Congress on Evolutionary Computation (ieee CEC)
作者: Gaurav, Ramashish Tripp, Bryan Narayan, Apurva Univ Waterloo Syst Design Engn Waterloo ON Canada Univ British Columbia Dept Comp Sci Vancouver BC Canada
Spiking Neural Networks (SNNs) are an emerging domain of biologically inspired neural networks that have shown promise for low-power AI. A number of methods exist for building deep SNNs, with Artificial Neural Network... 详细信息
来源: 评论
A fast and accurate learning-based decoding algorithm for the classification of cardiovascular and respiratory challenges using intraneural electrodes in the pig vagus nerve  44
A fast and accurate learning-based decoding algorithm for th...
收藏 引用
44th Annual International conference of the ieee-Engineering-in-Medicine-and-biology-Society (EMBC)
作者: Pollina, Leonardo Vallone, Fabio Ottaviani, Matteo M. Strauss, Ivo Recchia, Fabio A. Moccia, Sara Micera, Silvestro Scuola Super Sant Anna BioRobot Inst Pisa Italy Scuola Super Sant Anna Dept Excellence Robot & Artificial Intelligence Pisa Italy Scuola Super Sant Anna Inst Life Sci Pisa Italy Fdn Toscana Gabriele Monasterio Pisa Italy Temple Univ Cardiovasc Res Ctr Lewis Katz Sch Med Philadelphia PA USA Ecole Polytech Fed Lausanne Ctr Neuroprosthet Translat Neural Engn Lausanne Switzerland Ecole Polytech Fed Lausanne Inst Bioengn Lausanne Switzerland
Bioelectronic medicine is a new approach for developing closed-loop neuromodulation protocols on the peripheral nervous system (PNS) to treat a wide range of disorders currently treated with pharmacological approaches... 详细信息
来源: 评论
Aberrant Static and Dynamic Functional Brain Network in Depression Based on EEG Source Localization
收藏 引用
ieee-ACM TRANSACTIONS ON computational biology AND bioinformatics 2023年 第3期20卷 1876-1889页
作者: Lin, Xiangbin Kong, Weizhuang Li, Jianxiu Shao, Xuexiao Jiang, Changting Yu, Ruilan Li, Xiaowei Hu, Bin Lanzhou Univ Sch Informat Sci & Engn Gansu Prov Key Lab Wearable Comp Lanzhou 730000 Gansu Peoples R China Shandong Acad Intelligent Comp Technol Qingdao 266590 Shandong Peoples R China Chinese Acad Sci Shanghai Inst Biol Sci CAS Ctr Excellence Brain Sci & Intelligence Techno Shanghai 200234 Peoples R China Lanzhou Univ Joint Res Ctr Cognit Neurosensor Technol Lanzhou 730000 Gansu Peoples R China Chinese Acad Sci Inst Semicond Lanzhou 730000 Gansu Peoples R China Lanzhou Univ Minist Educ Engn Res Ctr Open Source Software & Real Time Syst Lanzhou 730000 Gansu Peoples R China
Objective. Depression is accompanied by abnormalities in large-scale functional brain networks. This paper combined static and dynamic methods to analyze the abnormal topology and changes of functional connectivity ne... 详细信息
来源: 评论
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and computational intelligence Approaches and Their Applications
收藏 引用
ieee-ACM TRANSACTIONS ON computational biology AND bioinformatics 2021年 第5期18卷 1645-1666页
作者: Gu, Xiaotong Cao, Zehong Jolfaei, Alireza Xu, Peng Wu, Dongrui Jung, Tzyy-Ping Lin, Chin-Teng Univ Tasmania Hobart Tas 7005 Australia Macquarie Univ N Ryde NSW 2109 Australia Univ Elect Sci & Technol China Chengdu 610054 Peoples R China Huazhong Univ Sci & Technol Wuhan 430074 Peoples R China Univ Calif San Diego La Jolla CA 92093 USA Univ Technol Sydney Sydney NSW 2007 Australia
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact with the environment. Recent advancements in technology and machine learning algorithms have increased interest in electroe... 详细信息
来源: 评论
Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection
收藏 引用
ieee-ACM TRANSACTIONS ON computational biology AND bioinformatics 2022年 第4期19卷 2241-2251页
作者: Wang, Yan Zhang, Lei Shu, Xin Feng, Yangqin Yi, Zhang Lv, Qing Sichuan Univ Coll Comp Sci Machine Intelligence Lab Chengdu 610065 Sichuan Peoples R China ASTAR Inst High Performance Comp Singapore 138632 Singapore Sichuan Univ West China Hosp Dept Galactophore Surg Chengdu 610041 Sichuan Peoples R China
To obtain a well-performed computer-aided detection model for detecting breast cancer, it is usually needed to design an effective and efficient algorithm and a well-labeled dataset to train it. In this paper, first, ... 详细信息
来源: 评论
Complexity and Enumeration in Models of Genome Rearrangement  29th
Complexity and Enumeration in Models of Genome Rearrangem...
收藏 引用
29th International Computing and Combinatorics conference, COCOON 2023
作者: Bailey, Lora Blake, Heather Smith Cochran, Garner Fox, Nathan Levet, Michael Mahmoud, Reem Matson, Elizabeth Bailey Singgih, Inne Stadnyk, Grace Wang, Xinyi Wiedemann, Alexander Department of Mathematics Grand Valley State University AllendaleMI United States Department of Mathematics and Computer Science Davidson College DavidsonNC United States Department of Mathematics and Computer Science Berry College Mount BerryGA United States Department of Quantitative Sciences Canisius University BuffaloNY United States Department of Computer Science College of Charleston CharlestonSC United States Department of Computer Science Virginia Commonwealth University RichmondVA United States The Division of Mathematics and Computer Science Alfred University AlfredNY United States Department of Mathematical Sciences University of Cincinnati CincinnatiOH United States Department of Mathematics Furman University GreenvilleSC United States Department of Computational Mathematics Science and Engineering Michigan State University East LansingMI United States Department of Mathematics Randolph–Macon College AshlandVA United States
In this paper, we examine the computational complexity of enumeration in certain genome rearrangement models. We first show that the Pairwise Rearrangement problem in the Single Cut-and-Join model (Bergeron, Medvedev,... 详细信息
来源: 评论
DualGOFiller: A Dual-Channel Graph Neural Network with Contrastive Learning for Enhancing Function Prediction in Partially Annotated Proteins  29th
DualGOFiller: A Dual-Channel Graph Neural Network with Cont...
收藏 引用
29th International conference on Research in computational Molecular biology, RECOMB 2025
作者: Wang, Shaojun Liu, Hancheng Zhai, Weiqi Zhu, Shanfeng Institute of Science and Technology for Brain-Inspired Intelligence Fudan University Shanghai200433 China MOE Frontiers Center for Brain Science Fudan University Shanghai200433 China Ministry of Education Shanghai200433 China Shanghai Key Lab of Intelligent Information Processing and Shanghai Institute of Artificial Intelligence Algorithm Fudan University Shanghai200433 China Zhangjiang Fudan International Innovation Center Shanghai200433 China
Protein function prediction remains a critical and challenging task in the field of bioinformatics. Despite various existing computational methods, most focus on predicting functions for novel proteins, often ove... 详细信息
来源: 评论
Slice-Fusion: Reducing False Positives in Liver Tumor Detection for Mask R-CNN
收藏 引用
ieee/ACM Transactions on computational biology and bioinformatics 2023年 第5期20卷 3267-3277页
作者: Tu, Deng-Yao Lin, Peng-Chan Chou, Hsin-Hung Shen, Meng-Ru Hsieh, Sun-Yuan National Cheng Kung University Master Degree Program on Artificial Intelligence Tainan City70101 Taiwan National Cheng Kung University Institute of Medical Informatics Department of Oncology Department of Genomic Medicine National Cheng Kung University Hospital College of Medicine Department of Computer Science and Information Engineering Tainan City70101 Taiwan National Chi Nan University Department of Computer Science and Information Engineering Nantou County54561 Taiwan National Cheng Kung University Graduate Institute of Clinical Medicine Department of Obstetrics and Gynecology Department of Pharmacology National Cheng Kung University Hospital College of Medicine Tainan City70101 Taiwan National Cheng Kung University Institute of Medical Information Institute of Manufacturing Information and Systems Center for Innovative FinTech Business Models International Center for the Scientific Development of Shrimp Aquaculture Department of Computer Science and Information Engineering Tainan City70101 Taiwan
Automatic liver tumor detection from computed tomography (CT) makes clinical examinations more accurate. However, deep learning-based detection algorithms are characterized by high sensitivity and low precision, which... 详细信息
来源: 评论