Pinned Repositories
ERGO
ERGO is a deep learing based model for predicting TCR-peptide binding.
graph-measures
Topological feature calculators infrastructure.
graph-al
Active-learning on graphs package
microbiome
Microbiome repository
CLAIRE
TCR-HLA binding predictor
epitope_b_cells_predictor
Epitope b cells predictor
graph-ml
Various machine learning methods to do classification on graphs
HWE_Tests
ad-rnn
Autoencoder
Represent the immune system TCR repertoire and estimate similarity and distance between different repertoires
louzounlab's Repositories
louzounlab/HWE_Tests
louzounlab/ER-PB
louzounlab/EFS
louzounlab/Twin-FWE
louzounlab/KIR-HLA
louzounlab/MIPMLP
louzounlab/micrOS
Oshrit's hole of fame
louzounlab/HWETests
louzounlab/HWE_Simulations
louzounlab/GRMA
Ofek & Yuli updated version for original GRMA written by Amit.
louzounlab/epitope_b_cells_predictor
Epitope b cells predictor
louzounlab/IRMA
louzounlab/QGCN_model
louzounlab/Edge-Prediction
graph edges classification by topological attributes
louzounlab/graph-measures
Topological feature calculators infrastructure.
louzounlab/QGCN
louzounlab/GRAMM
gramm-site
louzounlab/CountingIsAlmostAllYouNeed
Code for the models described in the paper "Counting is Almost All You Need". This repeository contains code for the counting model, attTCR, and gTCR.
louzounlab/microbiome
Microbiome repository
louzounlab/CLAIRE
TCR-HLA binding predictor
louzounlab/PYGON
louzounlab/ERGO-II
ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction
louzounlab/List-of-Lists
louzounlab/undiagnosed_fraction_estimation
Evaluation of the number of undiagnosed infected in an outbreak using source of infection measurements
louzounlab/Graph-Analysis
Graph Projects
louzounlab/SubGraphs
louzounlab/Autoencoder
Represent the immune system TCR repertoire and estimate similarity and distance between different repertoires
louzounlab/ERGO
ERGO is a deep learing based model for predicting TCR-peptide binding.
louzounlab/Transitions
louzounlab/Wikipedia-Hierarchy
Building a model based in Wikipedia hierarchy data to define metric on graph groups based on a connected tree