List your username and what DataSHIELD functionality you are working on, to ensure collaboration and not duplication of effort:
- @becca.wilson integrating GATE text mining with DataSHIELD
- @PatRyserWelch developing some classification and predictions algorithms. I am interested in exploring how these algorithms can produce some non-disclosed results > See discussion thread
- @stefan.lenz creating artificial data with generative models, e. g. Deep Boltzmann machines
- @daniela.zoeller developing multivariable models for high-dimensional data including variable selection, i.e. Distributed Boosting
- @daniela.zoeller thinking about time-to-event-analysis using pseudo values
- @paularaissa distributed data imputation
- @tombishop study level meta analysis of mixed models
- @bono extending inferential scope within DataSHIELD, using synthetic data generated from disclosable summaries only (https://github.com/bonorico/gcipdr )
- @demetris.avraam development of a Generalised Linear Mixed Models function; helping a research team from ISGlobal on the development of the dsOmics package for a list of functions for analysis of omics data; supporting PhD student from the Vienna University of Technology on the development of decision trees algorithms in DataSHIELD.
@jrgonzalez interested in collaborating with people developing genetic data analysis using PLINK and/or VCF files (GWAS, CNV, mosaicisms, genetic inversions, … see https://isglobal-brge.github.io/book_omic_association/). Leading the development of
dsOmicspackage (maybe the name will be changed to
dsBioC) that aims to integrate Bioconductor data infrastructures into DataSHIELD to allow omic data analysis (joint collaboration with @demetris.avraam and @yannick).