Search Results - Dhoot, Aditya

  • Showing 1 - 5 results of 5
Refine Results
  1. 1
    AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis

    AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis by Abel, John, Jain, Suyog, Rajan, Deepta, Padigela, Harshith, Leidal, Kenneth, Prakash, Aaditya, Conway, Jake, Nercessian, Michael, Kirkup, Christian, Javed, Syed Ashar, Biju, Raymond, Harguindeguy, Natalia, Shenker, Daniel, Indorf, Nicholas, Sanghavi, Darpan, Egger, Robert, Trotter, Benjamin, Gerardin, Ylaine, Brosnan-Cashman, Jacqueline A., Dhoot, Aditya, Montalto, Michael C., Parmar, Chintan, Wapinski, Ilan, Khosla, Archit, Drage, Michael G., Yu, Limin, Taylor-Weiner, Amaro

    Published in NPJ precision oncology
    Get full text
    Items that this one cites
    Article
    Save to List
    Saved in:
  2. 2
    Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability

    Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability by Dhoot, Aditya, Antonini, Enrico G.A., Romero, David A., Amon, Cristina H.

    Published in Energy (Oxford)
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  3. 3
    Exploring Complexes of Rhodopsin and Binding Partners in Virtual Reality

    Exploring Complexes of Rhodopsin and Binding Partners in Virtual Reality by Balo, Aidin R., Van Eps, Ned, Dhoot, Aditya, Wang, Merry, Ernst, Oliver P.

    Published in Biophysical journal
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Responsive Web-Based Molecule Viewer for 3D Communication, Collaboration, and Virtual Reality

    Responsive Web-Based Molecule Viewer for 3D Communication, Collaboration, and Virtual Reality by Wang, Merry, Dhoot, Aditya, Kimoto, Andrew, Parker, David, Zyracki, Michael, Tinnus, Malte, Jones, Peter, Hylbert, Drew, Amago, Dion, Mazzoldi, Florencio

    Published in Biophysical journal
    Get full text
    Items that cite this one
    Article
    Save to List
    Saved in:
  5. 5
    Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability

    Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability by Dhoot, Aditya, Antonini, Enrico G A, Romero, David A, Amon, Cristina H

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: