Statistical and Machine Learning Techniques for Human Microbiome Studies COST action

Open government data analytics with R.

R/Bioconductor projects

  • miaverse for microbiome data science
  • RPA for short oligonucleotide microarrays
  • netresponse for functional network analysis

Computational history, with a focus on Europen knowledge production in early modern era


Microbiome research

Various data sets related to publications available in the following open repositories: Data Dryad Figshare Github

Open research data and software

Statistical ecology and machine learning

Microbiome bioinformatics software and tutorials

DMT Dependency Modeling Toolkit. Probabilistic tools for dependency analysis between multiple data sources (R/CRAN). Probabilistic PCA, factor analysis, CCA, regularized variants, dependency-based dimensionality reduction etc. ICML/MLOSS workshop, Israel 2010.


netresponse Modeling context-specific activation patterns in genome-wide interaction networks (R/Matlab). Originally applied to study transcriptional responses in genome-scale interaction networks across organism-wide collections of gene expression data. doi:10.18129/B9.BIOC.NETRESPONSE

RPA (R/Bioconductor). Scalable probabilistic method for preprocessing short oligo microarray data. NAR 2013. doi:10.18129/B9.BIOC.RPA

intcomp Benchmarking for integrative cancer gene discovery algorithms. Briefings in Bioinformatics 2012

pint Probabilistic data integration for DNA/RNA data in functional genomics (R/Bioc). MLSP 2009.

Digital Humanities and Computational Social Science

rOpenGov R package ecosystem for open government data analytics (R/GitHub). introduced in NIPS Machine Learning Open Source Software workshop 2013.

COMHIS Helsinki Computational History Group data analytics infrastructure.

Academic publishing

Full agreement texts for academic publisher agreements. The agreements were released by the FinELib consortium of research libraries following our FOI request in April 2018.

Scientific journal subscription costs in Finland 2010-2017; MoE/ATT. The data set was released by Finnish Ministry of Education (Open Science and Research Initiative) following my Freedom of Information Request (summary). Finland became the first country to systematically collect and release this information.