Tags: machine learning

All Categories (1-20 of 36)

  1. Marco Buongiorno Nardelli

    https://qubeshub.org/community/members/46544

  2. Diep Thi Hoang

    https://qubeshub.org/community/members/46530

  3. Using genomic data and machine learning to predict antibiotic resistance: a tutorial paper

    16 Feb 2024 | Teaching Materials | Contributor(s):

    By Faye Orcales1, Lucy Moctezuma2, Meris Johnson-Hagler1, John Suntay1, Jameel Ali1, Kristiene Recto1, Pleuni Pennings, Ph.D1

    1. San Francisco State University 2. California State University, East Bay

    Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most antibiotics, which means that for any given bacterial infection, the bacteria may be resistant to...

    https://qubeshub.org/publications/4641/?v=1

  4. Apryle Craig

    https://qubeshub.org/community/members/45193

  5. Faye Orcales

    https://qubeshub.org/community/members/44767

  6. Faye Orcales

    https://qubeshub.org/community/members/44486

  7. Tom Stojsavljevic

    https://qubeshub.org/community/members/40322

  8. Oluwafolake Ayano

    https://qubeshub.org/community/members/38163

  9. John Alex

    https://qubeshub.org/community/members/35377

  10. Abdulgafar Kayode Amuda

    https://qubeshub.org/community/members/34066

  11. John Hafner

    https://qubeshub.org/community/members/31942

  12. Amara Felix

    https://qubeshub.org/community/members/29074

  13. Machine Learning Meets Medicine with Jenessa Peterson

    20 May 2022 | Teaching Materials | Contributor(s):

    By Janessa Peterson1, Megan Seifert2

    1. The Learning Agency 2. Headwaters Science Institute

    Jenessa Peterson is a former teacher turned data scientist/engineer and Director of Learning Engineering at The Learning Agency. Her more recent work in data science has included building a...

    https://qubeshub.org/publications/3169/?v=1

  14. Eric S Ho

    https://qubeshub.org/community/members/23456

  15. CyVerse: Scalable Image Informatics

    27 Jul 2020 | Teaching Materials | Contributor(s):

    By Tyson Lee Swetnam1, Edwin Skidmore2, Tony Edgin2, Ramona Walls2, Eric Lyons2, Nirav Merchant2

    1. University of Arizona BIO5 Institute, CyVerse 2. University of Arizona

    Poster on cyberinfrastructure for the machine learning ere presented at the 2020 BIOME Institute: Cultivating Scientific Curiosity

    https://qubeshub.org/publications/2006/?v=1

  16. Richard Cornford

    https://qubeshub.org/community/members/16398

  17. Albert Y. Kim

    https://qubeshub.org/community/members/16323

  18. The ml4bio Workshop: Machine Learning Literacy for Biologists

    02 Jun 2019 | Teaching Materials | Contributor(s):

    By Fangzhou Mu1, Chris Magnano1, Debora Treu2, Anthony Gitter1

    1. University of Wisconsin - Madison 2. Morgridge Institute for Research

    Presentation on machine learning literacy for biologists at the 2019 Great Lakes Bioinformatics Conference

    https://qubeshub.org/publications/1252/?v=1

  19. Smithsonian Data Science Lab postdoctoral fellowships

    Collections | 02 Apr 2019 | Posted by Rebecca Dikow

    https://qubeshub.org/community/groups/edsin/collections/opportunities-in-the-field

  20. Women in Machine Learning and Data Science

    Collections | 08 Feb 2019 | Posted by Alycia Crall

    https://qubeshub.org/community/groups/edsin/collections/organizations-and-initiatives