Code and variants to generate results published in Waller RG et al, Hum Mol Genet, 2021.
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Updated
May 18, 2021 - Shell
Code and variants to generate results published in Waller RG et al, Hum Mol Genet, 2021.
Multiple Myeloma recurrence prediction from the DREAM challenge
FINAL PROJECT FOR MSc DATA SCIENCE & ANALYTICS | Decoding Hospitalisation Predictors | A Data-Driven Analysis Using Logistic Regression in Multiple Myeloma Patients
This directory contains scripts for "Cell-free DNA Whole Genome Sequencing for Non-Invasive MRD Detection in Multiple Myeloma" by Abelman et al., 2025
Natural language classification of serum protein electrophoresis reports
Computational analysis of multiple myeloma progression — 7-method cross-validation (DEG, GSEA, ML, deep learning, clustering) on 859 patients achieving 93.8% classification accuracy
Multiple myeloma progress predictor using a hierachical and linear combination model of neural network regression models.
DataSet Tracker is a software suite for real-time image analysis designed to run on personal computers, smartphones, and smart glasses hardware and suitable for resource-constrained computing
MyeGPT: a conversational bioinformatics agent for multiple myeloma research
Django-based platform for Multiple Myeloma research combining drug discovery tools, PKPD simulation, digital patient twins, and clinical decision support
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