Name: John-William Sidhom
Type: User
Company: Mount Sinai Hospital
Bio: Computational Cancer Immunologist interested in AI/ML algorithms as they apply to various datatypes in the field
Twitter: John_Will_I_Am
Location: New York, NY
Blog: johnwilliamsidhom.com
John-William Sidhom's Projects
Personal website code
This is an integration of academic theme with Netlify CMS
Analysis of SARS-CoV-2 specific T-cell receptors in ImmuneCode reveals cross-reactivity to immunodominant Influenza M1 epitope
Deep learning for distinguishing morphological features of Acute Promyelocytic Leukemia
Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy
Deep learning identifies antigenic determinants of severe SARS-CoV-2 infection within T-cell repertoires
A Graphical User Interface for streamlining analysis of high-dimensional cytometry data
A Graphical User Interface for streamlining analysis of high-dimensional cytometry data with multi-sample comparative analysis
Structural TCR Repertoire Analytics Package
Survival analysis in Python
Bayesian Analysis of Clinical Scenario in "Don't Drop The Anchor" by Manesh, R.S., et. al. (2014)
Data for Minervina et. al 2020 paper on COVID-19
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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