Matthew Roberts

ORCID: 0000-0003-0737-266X
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About
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Research Areas
  • RNA modifications and cancer
  • Gene Regulatory Network Analysis
  • Ferroptosis and cancer prognosis
  • Bioinformatics and Genomic Networks
  • Genetics, Bioinformatics, and Biomedical Research
  • Cancer-related molecular mechanisms research
  • Scientific Computing and Data Management
  • Mathematical Biology Tumor Growth
  • Computational Drug Discovery Methods
  • Lung Cancer Treatments and Mutations
  • Inflammatory mediators and NSAID effects
  • Cancer Genomics and Diagnostics
  • Evolution and Genetic Dynamics

Cancer Research UK Manchester Institute
2020-2023

University of Manchester
2022-2023

CRUK Lung Cancer Centre of Excellence
2022-2023

Cancer Research UK
2022-2023

European Bioinformatics Institute
2019-2021

Wellcome Trust
2019

Computational modelling has become increasingly common in life science research. To provide a platform to support universal sharing, easy accessibility and model reproducibility, BioModels (https://www.ebi.ac.uk/biomodels/), repository for mathematical models, was established 2005. The current allows submission of models encoded diverse formats, including SBML, CellML, PharmML, COMBINE archive, MATLAB, Mathematica, R, Python or C++. submitted are curated verify the computational...

10.1093/nar/gkz1055 article EN cc-by Nucleic Acids Research 2019-11-06

Reproducibility of scientific results is a key element science and credibility. The lack reproducibility across many fields has emerged as an important concern. In this piece, we assess mathematical model propose scorecard for improving in field.

10.15252/msb.20209982 article EN cc-by Molecular Systems Biology 2021-02-01

Lung squamous cell carcinoma (LUSC) is a type of lung cancer with dismal prognosis that lacks adequate therapies and actionable targets. This disease characterized by sequence low- high-grade preinvasive stages increasing probability malignant progression. Increasing our knowledge about the biology these premalignant lesions (PMLs) necessary to design new methods early detection prevention, identify molecular processes are key for To facilitate this research, we have designed XTABLE (E x...

10.7554/elife.77507 article EN cc-by eLife 2023-03-09

Abstract The reproducibility crisis has emerged as an important concern across many fields of science including life science, since published results failed to reproduce. Systems biology modelling, which involves mathematical representation biological processes study complex system behaviour, was expected be least affected by this crisis. While lack experimental and computational analysis could a repercussion several compounded factors, it not fully understood why systems models with...

10.1101/2020.08.07.239855 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2020-08-10

Abstract Lung cancer is the most common cause of cancer-related deaths with Non-Small Cell Cancer (NSCLC) accounting for ~85% cases. Patients early-stage NSCLC (stages I-IIIA) undergo surgery curative intent but up to 30% relapse. Identification biomarkers that predict outcome at point could inform patient management. Here, we explored whether a COX-2-based pro-tumourigenic inflammatory gene signature (PTI), measured in surgically resected samples from patients, can outcome. Gene expression...

10.1158/1538-7445.am2023-5572 article EN Cancer Research 2023-04-04

ABSTRACT Lung squamous cell carcinoma (LUSC) is a type of lung cancer with dismal prognosis that lacks adequate therapies and actionable targets. This disease characterized by sequence low high-grade preinvasive stages increasing probability malignant progression. Increasing our knowledge about the biology these premalignant lesions (PMLs) necessary to design new methods early detection prevention, identify molecular processes are key for To facilitate this research, we have designed XTABLE,...

10.1101/2022.05.06.490640 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2022-05-06
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