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6 research outcomes, page 1 of 1
  • publication . Preprint . Article . 2020
    Open Access
    Authors:
    Taghvaei, Amirhossein; Georgiou, Tryphon T.; Norton, Larry; Tannenbaum, Allen R;
    Publisher: Cold Spring Harbor Laboratory
    Project: NSF | Collaborative Research: D... (1807664), NIH | Glymphatic function in a ... (5R01AG048769-04), NIH | MOUSE GENETICS (2P30CA008748-43)

    Author(s): Taghvaei, Amirhossein; Georgiou, Tryphon T; Norton, Larry; Tannenbaum, Allen R | Abstract: The purpose of this work is to make a case for epidemiological models with fractional exponent in the contribution of sub-populations to the transmission rate. More spe...

  • publication . Preprint . Other literature type . 2019
    Open Access
    Authors:
    Nancy Y. Lee; Eve LoCastro; Allen Tannenbaum; Amita Shukla-Dave; Saad Nadeem; Joseph O. Deasy; Rena Elkin; Ramesh Paudyal; Vaios Hatzoglou;
    Publisher: Cold Spring Harbor Laboratory
    Project: NIH | MOUSE GENETICS (2P30CA008748-43), NIH | Glymphatic function in a ... (5R01AG048769-04), NIH | Dose-distribution radiomi... (5R01CA198121-02)

    <jats:title>Abstract</jats:title><jats:p>Current state-of-the-art models for estimating the pharmacokinetic parameters do not account for intervoxel movement of the contrast agent (CA). We introduce an optimal mass transport (OMT) formulation that naturally handles inte...

  • publication . Other literature type . Article . Preprint . 2019
    Open Access
    Authors:
    Maryam Pouryahya; Joseph O. Deasy; James C. Mathews; Allen Tannenbaum; Arnold J. Levine; Saad Nadeem;
    Publisher: Springer Science and Business Media LLC
    Project: NIH | MOUSE GENETICS (2P30CA008748-43), NIH | Glymphatic function in a ... (5R01AG048769-04)

    This study uses new techniques of topological data analysis to demonstrate the relationship between breast cancer assays and important biological modules. Specifically, we map the landscape of breast tumor molecular states and integrate the information provided by the P...

  • publication . Preprint . Other literature type . Article . 2019
    Open Access
    Authors:
    Allen Tannenbaum; Yongxin Chen; Christophe Lenglet; Hamza Farooq; Tryphon T. Georgiou;
    Publisher: Cold Spring Harbor Laboratory
    Project: NIH | SILICON GRAPHICS PRISM EX... (1S10RR023043-01), NSF | Theory and Techniques for... (1509387), NIH | Neuroimaging Analysis Cen... (5P41EB015902-20), NIH | Center for Functional Ima... (5P41EB015896-18), NIH | A Storage Area Network fo... (1S10RR023401-01A2), NIH | FUNCTIONAL MRI INFORMATIC... (5P41RR013218-09), NIH | NMR Imaging and Spectrosc... (4P41EB015894-24), NIH | Computeserver Structural ... (1S10RR019307-01), NIH | Core 3 - Institutional Ce... (5P30NS076408-02), NIH | MOUSE GENETICS (2P30CA008748-43),...

    Although brain functionality is often remarkably robust to lesions and other insults, it may be fragile when these take place in specific locations. Previous attempts to quantify robustness and fragility sought to understand how the functional connectivity of brain netw...

  • publication . Other literature type . Preprint . Article . 2020
    Open Access English
    Authors:
    Jiening Zhu; Rena Elkin; Jung Hun Oh; Joseph O. Deasy; Allen Tannenbaum;
    Project: NIH | Glymphatic function in a ... (5R01AG048769-04), NIH | MOUSE GENETICS (2P30CA008748-43)

    Unbalanced optimal mass transport (OMT) seeks to remove the conservation of mass constraint by adding a source term to the standard continuity equation in the Benamou-Brenier formulation of OMT. In this study, we show how the unbalanced case fits into the vector-valued ...

  • publication . Preprint . Article . Other literature type . 2019
    Open Access
    Authors:
    Yannis G. Kevrekidis; Joseph O. Deasy; Maryam Pouryahya; Allen Tannenbaum; James C. Mathews; Caroline Moosmüller;
    Publisher: Cold Spring Harbor Laboratory
    Project: NIH | MOUSE GENETICS (2P30CA008748-43), NIH | Glymphatic function in a ... (5R01AG048769-04)

    <jats:title>Abstract</jats:title> <jats:p>Many biological datasets are high-dimensional yet manifest an underlying order. In this paper, we describe an unsupervised data analysis methodology that operates in the setting of a multivariate dataset and a network which expr...

6 research outcomes, page 1 of 1