Topological Data Analysis (TDA) is an innovative framework that utilises principles from algebraic topology to extract intrinsic patterns and structural features from complex, multi‐dimensional data.

A challenging trend is happening in the Big Data industry, many data sets are increasingly foreign in terms of the data analysis tools available to extract intelligence from them. It isn’t the size of ...

Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer review, eliminate borders between specialties by linking ...

The talk below, “Topological Data Analysis for the Working Data Scientist” was presented at the SF Data Mining meetup group. Speaker Anthony Bak begins with a short review of the Mapper algorithm and ...

Researchers used topological data analysis to improve the predictions of physical properties of amorphous materials by machine-learning algorithms. This may allow for cheaper and faster calculations ...

Epidemiology of MET gene mRNA expression in metastatic colorectal cancer: Analyses of a real-world clinicogenomic database. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This ...

TOKYO and PALO ALTO, Calif., Nov 20, 2023 - (JCN Newswire) - - Fujitsu Limited and Delight Health, a Bay Area startup, today announced that Fujitsu will license its Topological Data Analysis (TDA) ...