咨询与建议

限定检索结果

文献类型

  • 723 篇 期刊文献
  • 142 篇 会议

馆藏范围

  • 865 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 580 篇 理学
    • 258 篇 物理学
    • 204 篇 数学
    • 137 篇 生物学
    • 128 篇 化学
    • 121 篇 统计学(可授理学、...
    • 42 篇 系统科学
    • 26 篇 天文学
  • 527 篇 工学
    • 181 篇 计算机科学与技术...
    • 140 篇 软件工程
    • 100 篇 化学工程与技术
    • 87 篇 材料科学与工程(可...
    • 81 篇 生物医学工程(可授...
    • 76 篇 生物工程
    • 60 篇 电子科学与技术(可...
    • 57 篇 电气工程
    • 53 篇 力学(可授工学、理...
    • 49 篇 控制科学与工程
    • 47 篇 信息与通信工程
    • 44 篇 光学工程
    • 41 篇 动力工程及工程热...
    • 24 篇 仪器科学与技术
    • 22 篇 机械工程
    • 21 篇 冶金工程
  • 98 篇 医学
    • 67 篇 临床医学
    • 60 篇 基础医学(可授医学...
    • 28 篇 药学(可授医学、理...
    • 24 篇 公共卫生与预防医...
  • 74 篇 管理学
    • 44 篇 管理科学与工程(可...
    • 25 篇 图书情报与档案管...
    • 23 篇 工商管理
  • 38 篇 农学
  • 10 篇 法学
  • 9 篇 经济学
  • 8 篇 教育学
  • 2 篇 文学
  • 1 篇 军事学

主题

  • 21 篇 machine learning
  • 16 篇 density function...
  • 11 篇 molecular dynami...
  • 10 篇 gravitational wa...
  • 9 篇 deep learning
  • 9 篇 proteins
  • 7 篇 jamming
  • 7 篇 electronic struc...
  • 6 篇 iterative method...
  • 6 篇 predictive model...
  • 6 篇 feature extracti...
  • 6 篇 gene expression
  • 5 篇 support vector m...
  • 5 篇 inverse problems
  • 5 篇 galaxies
  • 5 篇 optimization
  • 5 篇 computational mo...
  • 5 篇 diffusion
  • 5 篇 mean square erro...
  • 5 篇 bioinformatics

机构

  • 19 篇 program in appli...
  • 18 篇 program in appli...
  • 18 篇 department of ph...
  • 17 篇 applied mathemat...
  • 15 篇 institute for pl...
  • 15 篇 department of ch...
  • 15 篇 department of me...
  • 15 篇 department of ap...
  • 14 篇 university of so...
  • 13 篇 department of ph...
  • 12 篇 department of as...
  • 12 篇 scuola di ingegn...
  • 12 篇 infn sezione di ...
  • 12 篇 dipartimento di ...
  • 12 篇 università degli...
  • 12 篇 infn trento inst...
  • 12 篇 graduate program...
  • 11 篇 infn sezione di ...
  • 11 篇 national tsing h...
  • 11 篇 department of ph...

作者

  • 40 篇 masuda naoki
  • 23 篇 jasra ajay
  • 14 篇 zhang linfeng
  • 14 篇 shattuck mark d.
  • 13 篇 o’hern corey s.
  • 12 篇 r. takahashi
  • 12 篇 j. c. bayley
  • 12 篇 k. komori
  • 12 篇 t. kajita
  • 12 篇 f. hellman
  • 12 篇 m. kinley-hanlon
  • 12 篇 metin demiralp
  • 12 篇 t. mcrae
  • 12 篇 a. parisi
  • 12 篇 t. sawada
  • 12 篇 s. rowan
  • 12 篇 s. m. aronson
  • 12 篇 v. p. mitrofanov
  • 12 篇 g. moreno
  • 12 篇 g. hemming

语言

  • 828 篇 英文
  • 32 篇 其他
  • 3 篇 中文
  • 1 篇 德文
  • 1 篇 法文
检索条件"机构=Computational Science and Engineering Program"
865 条 记 录,以下是361-370 订阅
排序:
Fast, accurate, and versatile data analysis platform for the quantification of molecular spatiotemporal signals
收藏 引用
Cell 2025年 第10期188卷 2794-2809.e21页
作者: Mi, Xuelong Chen, Alex Bo-Yuan Duarte, Daniela Carey, Erin Taylor, Charlotte R. Braaker, Philipp N. Bright, Mark Almeida, Rafael G. Lim, Jing-Xuan Ruetten, Virginia M.S. Wang, Yizhi Wang, Mengfan Zhang, Weizhan Zheng, Wei Reitman, Michael E. Huang, Yongkang Wang, Xiaoyu Li, Lei Deng, HanFei Shi, Song-Hai Poskanzer, Kira E. Lyons, David A. Nimmerjahn, Axel Ahrens, Misha B. Yu, Guoqiang Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Arlington 22203 VA United States Janelia Research Campus Howard Hughes Medical Institute Ashburn 20147 VA United States Department of Molecular and Cellular Biology Harvard University Cambridge 02138 MA United States Graduate Program in Neuroscience Harvard Medical School Boston 02115 MA United States Waitt Advanced Biophotonics Center The Salk Institute for Biological Studies La Jolla 92037 CA United States Department of Biochemistry & Biophysics University of California San Francisco San Francisco CA United States Neuroscience Graduate Program University of California San Francisco San Francisco CA United States Centre for Discovery Brain Sciences University of Edinburgh Edinburgh BioQuarter Edinburgh EH16 4SB United Kingdom Gatsby Computational Neuroscience Unit UCL London W1T 4JG United Kingdom Kavli Institute for Fundamental Neuroscience San Francisco CA United States Department of Automation Tsinghua University Beijing 100084 China IDG/McGovern Institute for Brain Research Tsinghua University Beijing 100084 China New Cornerstone Science Laboratory Tsinghua-Peking Center for Life Sciences Beijing Frontier Research Center for Biological Structure School of Life Sciences Tsinghua University Beijing 100084 China State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science Institutes of Brain Science Fudan University Shanghai 200032 China Beijing National Research Center for Information Science and Technology Beijing 100084 China
Optical recording of intricate molecular dynamics is becoming an indispensable technique for biological studies, accelerated by the development of new or improved biosensors and microscopy technology. This creates maj... 详细信息
来源: 评论
Fast sequential clustering in riemannian manifolds for dynamic and time-series-annotated multilayer networks
TechRxiv
收藏 引用
TechRxiv 2020年
作者: Ye, Cong Slavakis, Konstantinos Nakuci, Johan Muldoon, Sarah F. Medaglia, John NY14260 United States State University of New York at Buffalo China The Neuroscience Program UB SUNY United States The Department of Mathematics and the Computational and Data-Enabled Science and Engineering Program UB SUNY United States The Department of Psychology Drexel University PA19104 United States The Perelman School of Medicine University of Pennsylvania PA19104 United States
This work exploits Riemannian manifolds to build a sequential-clustering framework able to address a wide variety of clustering tasks in dynamic multilayer (brain) networks via the information extracted from their nod... 详细信息
来源: 评论
Integrating spatially-resolved transcriptomics data across tissues and individuals: challenges and opportunities
arXiv
收藏 引用
arXiv 2024年
作者: Guo, Boyi Ling, Wodan Kwon, Sang Ho Panwar, Pratibha Ghazanfar, Shila Martinowich, Keri Hicks, Stephanie C. Department of Biostatistics Johns Hopkins Bloomberg School of Public Health BaltimoreMD United States Division of Biostatistics Department of Population Health Sciences Weill Cornell Medicine NY United States Lieber Institute for Brain Development Johns Hopkins Medical Campus BaltimoreMD United States Solomon H. Snyder Department of Neuroscience Johns Hopkins School of Medicine BaltimoreMD United States Biochemistry Cellular and Molecular Biology Graduate Program Johns Hopkins School of Medicine BaltimoreMD United States School of Mathematics and Statistics The University of Sydney NSW2006 Australia Sydney Precision Data Science Centre University of Sydney NSW2006 Australia Charles Perkins Centre The University of Sydney NSW2006 Australia Department of Psychiatry and Behavioral Sciences Johns Hopkins School of Medicine BaltimoreMD United States Johns Hopkins Kavli Neuroscience Discovery Institute BaltimoreMD United States Department of Biomedical Engineering Johns Hopkins University BaltimoreMD United States Center for Computational Biology Johns Hopkins University BaltimoreMD United States Malone Center for Engineering in Healthcare Johns Hopkins University BaltimoreMD United States
Advances in spatially-resolved transcriptomics (SRT) technologies have propelled the development of new computational analysis methods to unlock biological insights. As the cost of generating these data decreases, the... 详细信息
来源: 评论
Approaching maximum resolution in structured illumination microscopy via accurate noise modeling
Npj imaging
收藏 引用
Npj imaging 2025年 第1期3卷 5页
作者: Ayush Saurabh Peter T Brown J Shepard Bryan Iv Zachary R Fox Rory Kruithoff Cristopher Thompson Comert Kural Douglas P Shepherd Steve Pressé Center for Biological Physics Arizona State University Tempe AZ USA. Department of Physics Arizona State University Tempe AZ USA. Computational Science and Engineering Division Oak Ridge National Laboratory Oak Ridge TN USA. Department of Physics The Ohio State University Columbus OH USA. Interdisciplinary Biophysics Graduate Program The Ohio State University Columbus OH USA. School of Molecular Sciences Arizona State University Tempe AZ USA.
Biological images captured by microscopes are characterized by heterogeneous signal-to-noise ratios (SNRs) due to spatially varying photon emission across the field of view convoluted with camera noise. State-of-the-a... 详细信息
来源: 评论
The Waiting-Time Paradox
arXiv
收藏 引用
arXiv 2020年
作者: Masuda, Naoki Porter, Mason A. Department of Mathematics State University of New York at Buffalo BuffaloNY United States Computational and Data-Enabled Science and Engineering Program State University of New York at Buffalo BuffaloNY United States Department of Mathematics University of California Los Angeles Los AngelesCA United States
Suppose that you’re going to school and arrive at a bus stop. How long do you have to wait before the next bus arrives? Surprisingly, it is longer — possibly much longer — than what the bus schedule suggests intuit... 详细信息
来源: 评论
BPS2025 - Structural basis of potassium selectivity in kalium channelrhodopsins
收藏 引用
Biophysical Journal 2025年 第3期124卷 64a-65a页
作者: Seiya Tajima Yoon Seok Kim YoungJu Jo Peter Y. Wang Joseph M. Paggi Charu Ramakrishnan Shunki Takaramoto Takashi Nagata Masae Konno Kota Katayama Hideki Kandori Ron O. Dror Keiichi Inoue Karl Deisseroth Hideaki Kato Research Center for Advanced Science and Technology The University of Tokyo Tokyo Japan Department of Bioengineering Stanford University Stanford CA USA Department of Computer Science Stanford University Stanford CA USA Cracking the Neural Code Program Stanford University Stanford CA USA The Institute for Solid State Physics The University of Tokyo Kashiwa Japan PRESTO Japan Science and Technology Agency Kawaguchi Japan Department of Life Science and Applied Chemistry Nagoya Institute of Technology Nagoya Japan OptoBioTechnology Research Center Nagoya Institute of Technology Nagoya Japan Institute for Computational and Mathematical Engineering Stanford University Stanford CA USA Howard Hughes Medical Institute Stanford University Stanford CA USA Graduate School of Arts and Sciences The University of Tokyo Tokyo Japan
来源: 评论
Author Correction: Supervised learning of high-confidence phenotypic subpopulations from single-cell data
收藏 引用
Nature Machine Intelligence 2023年 676页
作者: Tao Ren Ling-Yun Wu Canping Chen Susan Liu Shunyi Du Zheng Xia Alexey V. Danilov Xiwei Wu Xiangnan Guan Mara H. Sherman Lisa M. Coussens Paul T. Spellman Andrew C. Adey Gordon B. Mills Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing China Computational Biology Program Oregon Health & Science University Portland OR USA Department of Biomedical Engineering Oregon Health & Science University Portland OR USA Knight Cancer Institute Oregon Health & Science University Portland OR USA City of Hope National Medical Center Duarte CA USA Department of Oncology Biomarker Development Genentech Inc South San Francisco CA USA Department of Cell Developmental & Cancer Biology Oregon Health & Science University Portland OR USA Cancer Biology & Genetics Program Memorial Sloan Kettering Cancer Center New York NY USA Department of Molecular and Medical Genetics Oregon Health & Science University Portland OR USA Division of Oncological Sciences Knight Cancer Institute Oregon Health & Science University Portland OR USA
来源: 评论
An integrative systems-biology approach defines mechanisms of Alzheimer’s disease neurodegeneration
收藏 引用
Nature Communications 2025年 第1期16卷 1-21页
作者: Leventhal, Matthew J. Zanella, Camila A. Kang, Byunguk Peng, Jiajie Gritsch, David Liao, Zhixiang Bukhari, Hassan Wang, Tao Pao, Ping-Chieh Danquah, Serwah Benetatos, Joseph Nehme, Ralda Farhi, Samouil Tsai, Li-Huei Dong, Xianjun Scherzer, Clemens R. Feany, Mel B. Fraenkel, Ernest MIT Ph.D. Program in Computational and Systems Biology Cambridge MA United States Department of Biological Engineering Massachusetts Institute of Technology Cambridge MA United States Broad Institute of Harvard and MIT Cambridge MA United States Department of Pathology Brigham and Women’s Hospital and Harvard Medical School Boston MA United States Spatial Technology Platform Broad Institute of Harvard and MIT Cambridge MA United States Precision Neurology Program Brigham and Women’s Hospital and Harvard Medical school Boston MA United States APDA Center for Advanced Parkinson’s Disease Research Brigham and Women’s Hospital and Harvard Medical School Boston MA United States Picower Institute for Learning and Memory Massachusetts Institute of Technology Cambridge MA United States Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge MA United States Stanley Center for Psychiatric Research Broad Institute of Harvard and MIT Cambridge MA United States School of Computer Science Northwestern Polytechnical University Xi’an China Stephen and Denise Adams Center of Yale School of Medicine New Haven CT United States
Despite years of intense investigation, the mechanisms underlying neuronal death in Alzheimer’s disease, remain incompletely understood. To define relevant pathways, we conducted an unbiased, genome-scale forward gen...
来源: 评论
Metrics for benchmarking and uncertainty quantification: Quality, applicability, and a path to best practices for machine learning in chemistry
arXiv
收藏 引用
arXiv 2020年
作者: Vishwakarma, Gaurav Sonpal, Aditya Hachmann, Johannes Department of Chemical and Biological Engineering University at Buffalo State University of New York BuffaloNY14260 United States Computational and Data-Enabled Science and Engineering Graduate Program University at Buffalo State University of New York BuffaloNY14260 United States New York State Center of Excellence in Materials Informatics BuffaloNY14203 United States
This review aims to draw attention to two issues of concern when we set out to make machine learning work in the chemical and materials domain, i.e., statistical loss function metrics for the validation and benchmarki... 详细信息
来源: 评论
On Performance Prediction of Big Data Transfer in High-performance Networks
On Performance Prediction of Big Data Transfer in High-perfo...
收藏 引用
IEEE International Conference on Communications (ICC)
作者: Wuji Liu Daqing Yun Chase Q. Wu Nageswara S.V. Rao Aiqin Hou Wei Shen Department of Computer Science New Jersey Institute of Technology Newark NJ USA Computer and Information Sciences Program Harrisburg University Harrisburg PA USA Computational Sciences and Engineering Division Oak Ridge National Laboratory Oak Ridge TN USA School of Information Science and Technology Northwest University Xi’an Shaanxi China School of Informatics Science and Technology Zhejiang Sci-Tech University Hangzhou Zhejiang China
Big data generated by large-scale scientific and industrial applications need to be transferred between different geographical locations for remote storage, processing, and analysis. High-speed dedicated connections p... 详细信息
来源: 评论