Single-cell transcriptomics and epigenomics unravel the role of monocytes in neuroblastoma bone marrow metastasis
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Updated
Dec 11, 2023 - Jupyter Notebook
Single-cell transcriptomics and epigenomics unravel the role of monocytes in neuroblastoma bone marrow metastasis
Pharmacokinetic Modeling and Optimization of Omburtamab (8H9) Delivered Through the CSF
"The topology of vitronectin: A complementary feature for neuroblastoma risk classification based on computer‐aided detection" by Vicente-Munuera et al.
Scripts using GEOquery package to fetch expression matrices and phenotypic data associated with GSE datasets
Port of the pyneuroblastoma model to flamegpu2.
The repository focuses on conducting Federated Learning experiments using the Intel OpenFL framework with diverse machine learning models, utilizing image and tabular datasets, applicable different domains like medicine, banking etc.
Unsupervised clustering analysis using Orange to identify patient profiles associated with neuroblastoma survival. Highlights correlations between MYCN amplification, risk level, tumor differentiation, and prognosis.
Circadian rhythm heterogeneity and drug response in neuroblastoma models (Cell Reports 2026)
Scripts for analyses exploring mutually exclusive gene regulation patterns along the noradrenergic–mesenchymal axis.
Effects of eugenol on the firing of action potentials in NG108-15 neurons (Huang et al. 2011)
Gene burden testing pipeline for rare variant discovery in neuroblastoma using RV-Excalibur and gnomAD.
Properties of aconitine-induced block of KDR current in NG108-15 neurons (Lin et al. 2008)
HERG K+ channels spike-frequency adaptation (Chiesa et al 1997)
Code supporting Fuchs et al. Defining the landscape of circular RNAs in neuroblastoma unveils a global suppressive function of MYCN (under review).
Analysis code for: Host-transcriptome microbiome-interaction scores in neuroblastoma are largely explained by tumour cell state (TARGET-NBL cohort)
Calcium waves in neuroblastoma cells (Fink et al. 2000)
Analysing single-cell and DSP data to test the effect of copper chelation with TEPA in Neuroblastoma mice
Analysis of Neuroblastoma cancer patients to analyse their susceptibility to SARS-CoV-2. This research was conducted as a part of a group project during our Bioinformatics and Theoretical Systems Biology MSc at Imperial College London.
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