manuscript-code

More detailed growth models using inference.

Study Fc antibody dynamics using a multivalent binding model

Dissecting systems serology with a tensor factorization

A binding-reaction model for the common gamma chain receptor cytokines.

A Multivalent Binding Model for FcgRs

This is to show oscillations in the number of cells in G1 and in G2 phase of cell cycle.

The structure is the message: preserving experimental context through tensor decomposition

Clusters phosphoproteomics data by sequence and abundance dynamics

Trafficking model of FcRn to explain the effects of failed release at the cell surface.

R code to model and visualize sweat sodium loss across temperature and humidity conditions for passive vs. active interventions.

Gas6 signaling model for TAM receptors

A multi-omic view of MRSA infection using tensor factorization

Inferring antibody species from systems serology with a mechanistic binding model.

A modeling perspective on cell selective ligands

Code for modeling performed in Barney et al.

Decoding cytokine signaling networks in cancer patients

Exploring what valency does to IL-2.