Single-cell transcriptomics and epigenomics unravel the role of monocytes in neuroblastoma bone marrow metastasis

"The topology of vitronectin: A complementary feature for neuroblastoma risk classification based on computer‐aided detection" by Vicente-Munuera et al.

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.

Pharmacokinetic Modeling and Optimization of Omburtamab (8H9) Delivered Through the CSF

Scripts using GEOquery package to fetch expression matrices and phenotypic data associated with GSE datasets

Effects of eugenol on the firing of action potentials in NG108-15 neurons (Huang et al. 2011)

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

Properties of aconitine-induced block of KDR current in NG108-15 neurons (Lin et al. 2008)

Code supporting Fuchs et al. Defining the landscape of circular RNAs in neuroblastoma unveils a global suppressive function of MYCN (under review).

HERG K+ channels spike-frequency adaptation (Chiesa et al 1997)

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.

Final Study Project on Neuroblastoma Classification with Convolutional Neural Networks

The NeuroblastomaPSM (Neuroblastoma Partitioned Survival Model) package documents the cost effectiveness of Dinutuximab Beta (Qarziba®) for the treatment of high-risk neuroblastoma patients after stem cell transplantation.

RNA-seq counts matrix analysis in Neuroblastoma for identifying signature genes in ALT phenotype.