Meyer lab

tHMM

A general Python framework for using hidden Markov models on binary trees or cell lineage trees.

systemsSerology

Dissecting systems serology with a tensor factorization

tensorpack

A collection of tensor methods from the Meyer lab.

FcRegression.jl

Study Fc antibody dynamics using a multivalent binding model

scCP

PARAFAC2 for modeling multi-sample single-cell RNAseq.

tensor-impute

Explore imputation methods for tensor data

analytic-Pf2

Attempting analytical PARAFAC solving for more accurate PARAFAC2 fitting.

asmlab.org

Meyer lab website

DDMC

Clusters phosphoproteomics data based on a combination of the sequence information and abundance changes over conditions.

tfac-CoH

Decoding cytokine signaling networks in cancer patients

bi-cytok

Modeling bispecific cytokine fusions.

arethapedia

Chat-based LLM with lab context

AXLomics

BAL-Pf2

Pf2 analysis of BAL samples

barcoded-Pf2

Pf2 exploration of cell-to-cell heterogeneity with barcoded cell lines.

cmtf-pls

A Partial Least Squares (PLS) implementation in CMTF.

CPTAC-tensor

Exploring the CPTAC dataset using coupled tensors.

Fc-deconvolute

Using deconvolution to identify the contribution of glycans to Fc binding.

FlowCytometryToolsFork

A python package for visualization and analysis of high-throughput flow cytometry data

gc-valent

Exploring what valency does to IL-2.

mechanismSerology

Factoring systems serology data with a mechanistic binding model.

PaCMAP

PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure

parafac2

A scalable implementation of PARAFAC2 with line search.

spatial-pf2

tensor_review

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

tensordata

A common repository for tensor structured datasets.

tensorly

TensorLy: Tensor Learning in Python.

tfac-mrsa

A multi-omic view of MRSA infection using tensor factorization

tHMMsim

valentBind

The multivalent binding model implemented in Python.