manuscript-code

More detailed growth models using inference.

Dissecting systems serology with a tensor factorization

Study Fc antibody dynamics using a multivalent binding model

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

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

A Multivalent Binding Model for FcgRs

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

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

Clusters phosphoproteomics data by sequence and abundance dynamics

A modeling perspective on cell selective ligands

A multi-omic view of MRSA infection using tensor factorization

Reproducible analysis for between-visit cerebrovascular and cardiovascular responses during the cold pressor test

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

Gas6 signaling model for TAM receptors

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

Code for modeling performed in Barney et al.

Decoding cytokine signaling networks in cancer patients

Exploring what valency does to IL-2.