Publications by authors named "Dylan Feldner-Busztin"
Motivation: Machine learning (ML) methods are motivated by the need to automate information extraction from large datasets in order to support human users in data-driven tasks. This is an attractive approach for integrative joint analysis of vast amounts of omics data produced in next generation sequencing and other -omics assays. A systematic assessment of the current literature can help to identify key trends and potential gaps in methodology and applications.
View Article and Find Full Text PDFCoordination of cell proliferation and migration is fundamental for life, and its dysregulation has catastrophic consequences, such as cancer. How cell cycle progression affects migration, and vice versa, remains largely unknown. We address these questions by combining in silico modelling and in vivo experimentation in the zebrafish trunk neural crest (TNC).
View Article and Find Full Text PDFArticle Synopsis
- SARS-CoV-2 has caused widespread illness and major societal disruptions, prompting policymakers to seek effective strategies to manage the ongoing crisis.
- OpenABM-Covid19 is an agent-based simulation tool designed to model the epidemic with a focus on age demographics and social interactions, initially based on UK data but adaptable for other countries.
- The open-source model allows for rapid simulations of interventions, like contact tracing and vaccination, and has user-friendly interfaces in Python and R to aid researchers and policymakers in evaluating different approaches to controlling the virus.