Pinned Repositories
asmlab.org
Meyer lab website
FcRegression.jl
Study Fc antibody dynamics using a multivalent binding model
gc-cytokines
A binding-reaction model for the common gamma chain receptor cytokines.
mechanismEncoder
Developing patient-specific phosphoproteomic models using mechanistic autoencoders
misc-docs
Miscellaneous documents for the Meyer lab.
ps-growth-model
More detailed growth models using inference.
systemsSerology
Dissecting systems serology with a tensor factorization
tensor-impute
Explore imputation methods for tensor data
tensorpack
A collection of tensor methods from the Meyer lab.
tHMM
A general Python framework for using hidden Markov models on binary trees or cell lineage trees.
Meyer lab's Repositories
meyer-lab/tHMM
A general Python framework for using hidden Markov models on binary trees or cell lineage trees.
meyer-lab/systemsSerology
Dissecting systems serology with a tensor factorization
meyer-lab/tensorpack
A collection of tensor methods from the Meyer lab.
meyer-lab/FcRegression.jl
Study Fc antibody dynamics using a multivalent binding model
meyer-lab/scCP
PARAFAC2 for modeling multi-sample single-cell RNAseq.
meyer-lab/tensor-impute
Explore imputation methods for tensor data
meyer-lab/asmlab.org
Meyer lab website
meyer-lab/DDMC
Clusters phosphoproteomics data based on a combination of the sequence information and abundance changes over conditions.
meyer-lab/tfac-CoH
Decoding cytokine signaling networks in cancer patients
meyer-lab/bi-cytok
Modeling bispecific cytokine fusions.
meyer-lab/tfac-ccle
Tensor factorization of gene-level CCLE data
meyer-lab/AXLomics
meyer-lab/BAL-Pf2
Pf2 analysis of BAL samples
meyer-lab/barcoded-Pf2
Pf2 exploration of cell-to-cell heterogeneity with barcoded cell lines.
meyer-lab/cmtf-pls
A Partial Least Squares (PLS) implementation in CMTF.
meyer-lab/CPTAC-tensor
Exploring the CPTAC dataset using coupled tensors.
meyer-lab/Fc-deconvolute
Using deconvolution to identify the contribution of glycans to Fc binding.
meyer-lab/FlowCytometryToolsFork
A python package for visualization and analysis of high-throughput flow cytometry data
meyer-lab/gc-valent
Exploring what valency does to IL-2.
meyer-lab/mechanismSerology
Inferring antibody species from systems serology with a mechanistic binding model.
meyer-lab/PaCMAP
PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
meyer-lab/parafac2
A scalable implementation of PARAFAC2 with line search.
meyer-lab/Pf2-scRNAseq
meyer-lab/spatial-pf2
meyer-lab/tensor_review
The structure is the message: preserving experimental context through tensor decomposition
meyer-lab/tensordata
A common repository for tensor structured datasets.
meyer-lab/tensorly
TensorLy: Tensor Learning in Python.
meyer-lab/tfac-mrsa
A multi-omic view of MRSA infection using tensor factorization
meyer-lab/tHMMsim
meyer-lab/valentBind
The multivalent binding model implemented in Python.