Working Group leads: Ching-Long Lin ching-long-lin@uiowa.edu and Edward Sander edward-sander@uiowa.edu
This WG aims to discuss and share numerical methods that facilitate integration of subcellular and cellular scale to macroscale in the human body, and identify associated multiscale modeling issues from the numerical standpoint.
Brief history:
Working Group leads: Pratul Agarwal, Yufang Jin
Working group activities and plans: File:HPC progress and plans.pdf
The goal of this working group is to initiate discussion, foster collaboration and data sharing including (but not limited) to:
Working Group leads: Peter Hunter; Herbert Sauro; Jim Bassingthwaighte; Roger Mark; George Moody
The specific goals of this Working Group are to:
The respiratory control system produces the rhythm that underlies breathing. But this rhythm is not restricted to just the respiratory system. Teleologically, it is not surprising that the respiratory rhythm is evident in the cardiovascular system because the sympatho-cardio-respiratory systems are coupled for efficient gas exchange. But the respiratory rhythm permeates non-related systems, as it is evident hippocampal, olfactory and prefrontal cortical rhythms. Further, the respiratory rhythm appears to be sensitive to other rhythms, in particular to that of the pulse pressure. Thus, our overall goal is to dissect mechanisms underlying the variability of this fundamental rhythm.
We and others postulate that the variability of these rhythms may serve as a biomarker of health and disease progression. Thus the purpose of the model is to examine an potential source of variability of cardio-respiratory rhythms.
We are in the final stage of preparing the manuscript describing this model. It is entitled;
Cardio-ventilatory coupling: a role for carotid baroreflex in synchronizing inspiratory-onset activity.
Our published preliminary study is
Hsieh YH, Litvin DG, Zaylor AR, Nethery DE, Dick TE, Jacono FJ.
J Physiol. 2020 Jul;598(13):2791-2811.
The
https://doi.org/10.1113/JP279177
We will provide the doi link for the Cardio-ventilatory coupling: a role for carotid baroreflex in synchronizing inspiratory-onset activity when it is accepted.
scRCMF is an unsupervised method that identifies stable cell states and transition cells by adopting a nonlinear optimization model that infers the latent
substructures from a gene-cell matrix.
Zheng, Xiaoying, et al. "scRCMF: Identification of Cell Subpopulations and Transition States From Single-Cell Transcriptomes." IEEE Transactions on Biomedical Engineering 67.5 (2019): 1418-1428.
