BIOINFORMATICS
When it comes to the successful fruition of a data-driven project, diverse knowledge is a frequent prerequisite. Bioinformatics is a crossbreed of multiple disciplines like biology, physics, chemistry and computer science to name but a few. To match the complexity and challenges imposed by today's real-world data, it is critical that bioinformatics tools evolve and keep pace.
Physics has leveraged advanced mathematics to foster discoveries. It is therefore not before time, that bioinformaticians and life-scientists embrace the concepts rooted in mathematics, to tackle the most-pressing issues with regards to human health.
At the core of Multicore Dynamics beating heart, lies a deep understanding of mathematics. It is through this understanding that we are able to face, navigate and reveal the previously unseen and disconnected.
NETWORK TOPOLOGY & PERSISTENT HOMOLOGY
Topological Data Analysis (TDA) is one of the advanced tools available in our analytics toolbox.
Why use TDA ?
TDA is mathematics-based method renowned for its robustness to noise and ability to process challenging datasets, particularly in cases where mainstream methods have failed. Unlike common statistical tools for assessing group comparisons (sample differences), TDA focuses on data connectivity (sample similarities). The latter is particularly suitable to reveal continuous transitions in the data, that are likely to be overlooked by standard approaches.
TDA leverages the machinery of algebraic topology to extract characteristic shapes from high-dimensional data sets, and generate compact low-dimensional representation in the form of a neighbourhood graph. Equiped with visual intuitive displays, such data representations enable data owners to seamlessly interact with their data and generate hypotheses at speed.
Within the realm of TDA, another method called Persistent Homology (PH), is gaining traction in modern analytics. Instead of looking at topological shapes, it focuses on the lifespan of topological features (birth-death pairs), making it particular suitable as a signal-to-noise filter.
The more the better
When applied in conjunction with machine learning, TDA-PH delivers augmented AI-based analytics, offering high performance regardless of sample set size, whilst preventing the notorious 'black-box' effect.
The final diagram shown right, was produced from finacial market data. Here the green and red dots indicate zero and one dimensional topological invariants (features). In this case, a long living cyclical structure has clearly been detected. Such data can subsequently be utilised to build machine learning models.
BIOINFORMATIC SERVICES
Multicore Dynamics offer consultancy and technology based solutions spanning multiple fields and industry types.
We simplify the process to make sense of complex data and in doing so, identify optimal approaches to deliver data driven intelligence through statistical, predictive and/or novel analytical methods.
SERVICE SUMMARY
Consultancy for your unique data challenges including but not limited to analytical methods and data preparation
Pipeline process architecture and development
Biomarker-tailored analysis
Design and development of Machine Learning models
Integration with High Performance Computing hardware where appropriate
Insights
Empowered analytical insights and solutions.
Multicore Dynamics Ltd
© 2025. All rights reserved.