Elton Ugbogu
Writing
Long-form explorations across ML, bioinformatics, cancer biology, and quantum computing
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~25 min read
Featured
Ising models for biological data and optimisation
From maximum-entropy gene networks and spatial transcriptomics to QUBO-encoded
protein folding on quantum annealers — classical inference and quantum optimisation
in one unified reference.
~30 min read
Featured
Maximum entropy models in biology and machine learning
From Jaynes's principle to exponential-family models, Ising and Potts systems,
protein coevolution, gene-network inference, neural coding, and statistical-mechanics
links in one unified reference.
~35 min read
Featured
Tumour Ecosystem Dynamics: Microenvironment, Malignancy, and Theoretical Limits
A comprehensive overview of malignant cells, stromal and immune compartments,
deconvolution, spatial transcriptomics, maximum entropy frameworks, and the
theoretical limits of using the tumour microenvironment to identify malignancy.
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Coming soon
Draft
Consensus clustering in cancer transcriptomics — a practical guide
How ConsensusClusterPlus works, choosing k, interpreting the consensus CDF,
and connecting cluster solutions to clinical phenotypes in TCGA cohorts.
Draft
QAOA and MaxCut — what the algorithm actually does
A ground-up walkthrough of the Quantum Approximate Optimization Algorithm,
why MaxCut is the canonical test case, and where it sits relative to classical heuristics.