CARTMAN: Co-occurrence Analysis of Repeating Transcription-factor Motifs And Networks

This is a brief exercise on co-occurrence networks employing real data from philosophy PUCP theses.

This project applies Social Network Analysis (SNA) to EHR data from 2,000 patients to reveal links among conditions, drugs, and risk factors. Three networks were built to identify key diseases, comorbidity clusters, and treatment hubs, supporting data-driven insights for personalized healthcare.

江戸川乱歩作品の分析アプリ. 形態素解析 / データ集計 / 共起ネットワークの機能を内包している

To explore diatom community structure dynamic and distribution over time (8years) around Australian coastal water (IMOS NRS station) and to identify abiotic (e.i. temperature, nutrients.. etc) and biotic (bacteria) factor that influence them. This was through analysis of 18S and 16S rRNA data available form the Australaian Microbiome Initiative.

A Python-tool for comprehensive science mapping analysis. A dashboard for quantitative research in scientometrics and bibliometrics.

Bioinformatic workflow, statistical analysis and figure preparation for the "Defining the cultured and uncultured bacterial fractions in Cannabis seeds" MS

Word co-occurrence network analysis and visualization using Python, NLTK, and NetworkX

This analysis employs established methodologies from computational social science, legal informatics, and criminal network analysis, with all claims directly supported by primary Epstein Files Transparency Act (EFTA) document citations. It provides an overview of the materials suitable for use by researchers, journalists, and legal professionals.

Bibliography on the integration of Random Matrix Theory (RMT) into the Molecular Ecological Network Analysis (MENA)