Machine learning tools advance biophysics

被引：0
|
作者：
Schlick, Tamar [1 ,2 ,3 ]
Wei, Guo- Wei [4 ]
机构：
[1] NYU, Dept Chem, New York, NY 10012 USA
[2] NYU, Courant Inst Math Sci, New York, NY 10012 USA
[3] NYU, Simons Ctr Computat Phys Chem, New York, NY 10012 USA
[4] Michigan State Univ, Dept Math, E Lansing, MI USA
来源：
BIOPHYSICAL JOURNAL | 2024年 / 123卷 / 17期
关键词：
D O I：
10.1016/j.bpj.2024.07.036
中图分类号：
Q6 [生物物理学];
学科分类号：
071011 ;
摘要：
引用
收藏
页码：E1 / E3
页数：3
相关论文
共 50 条
  • [1] Machine Learning for Machine Tools
    Sinkora, Ed
    [J]. MANUFACTURING ENGINEERING, 2023, 171 (02): : 68 - 75
  • [2] ADVANCE IN POLISH MACHINE-TOOLS FOR RAILWAY SYSTEM
    KACZKOWSKI, A
    [J]. MECHANIK MIESIECZNIK NAUKOWO-TECHNICZNY, 1984, 57 (11): : 575 - 579
  • [3] Special Issue "Advance in Machine Learning"
    Demertzis, Konstantinos
    Iliadis, Lazaros
    Tziritas, Nikos
    Kikiras, Panayotis
    [J]. PROCESSES, 2023, 11 (04)
  • [4] Advance computational tools for multiomics data learning
    Mansoor, Sheikh
    Hamid, Saira
    Tuan, Thai Thanh
    Park, Jong-Eun
    Chung, Yong Suk
    [J]. BIOTECHNOLOGY ADVANCES, 2024, 77
  • [5] A Review on Machine Learning Tools
    Kaytan, Mustafa
    Aydilek, Ibrahim Berkan
    [J]. 2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP), 2017,
  • [6] Large-Scale Machine Learning Approaches for Molecular Biophysics
    Ramanathan, Arvind
    Chennubhotla, Chakra S.
    Agarwal, Pratul K.
    Stanley, Christopher B.
    [J]. BIOPHYSICAL JOURNAL, 2015, 108 (02) : 370A - 370A
  • [7] GO BOTANY: INTEGRATED TOOLS TO ADVANCE BOTANICAL LEARNING
    Farnsworth, Elizabeth
    [J]. RHODORA, 2012, 114 (958) : 214 - 215
  • [8] Emerging Biophysics Tools for Biologists
    Yoon, Tae-Young
    [J]. MOLECULES AND CELLS, 2022, 45 (01) : 4 - 5
  • [9] Machine learning and soil sciences: a review aided by machine learning tools
    Padarian, Jose
    Minasny, Budiman
    Mcbratney, Alex B.
    [J]. SOIL, 2020, 6 (01) : 35 - 52
  • [10] Machine learning guided weighted ensemble for rare event simulation in biophysics
    Prabhakar, Praveen Ranganath
    Ray, Dhiman
    Andricioaei, Ioan
    [J]. BIOPHYSICAL JOURNAL, 2023, 122 (03) : 423A - 423A
12345