Name: Liel Cohen-Lavi
Type: User
Company: Ben Gurion University of the Negev
Bio: BSc & MSc in industrial engineering and management, intelligent systems.
PhD student specializing in machine learning, bioinformatics, immunoinformatics
Liel Cohen-Lavi's Projects
Code used for experiments presented in the paper "Applying Max-sum to Asymmetric Distributed Constraint Optimization Problems" by Roie Zivan, Tomer Parash, Liel Cohen and Yarden Naveh.
Create modules of co-signaling cytokines for analysis of multiplexed cytokine data (e.g. Luminex)
Sequence-based ensemble learning approach for TCR epitope binding prediction
Script for plotting a pairwise correlation matrix as heatmap with annotated p-values, after multiplicity adjustment for multiple hypothesis testing.
TCRGP, a novel Gaussian process method that can predict if TCRs recognize certain epitopes. This method can utilize different CDR sequences from both TCRα and TCRβ chains from single-cell data and learn which CDRs are important in recognizing the different epitopes.
Sample TCRs according to VDJ gene usage frequency