High dimensional data analysis

This subclass comprises research and experimental development in high dimensional data analysis.

Parent Category

M

McDonald, Daniel

Department of Statistics, Faculty of Science

Faculty (G+PS eligible/member)

High dimensional data analysis; Computational methods in statistics; Statistical theory and modeling; Machine learning; Epidemiology (except nutritional and veterinary epidemiology); Methods and models for epidemiological forecasting; Estimation and quantification of prediction risk; Evaluating the predictive abilities of complex dependent data; Application of statistical learning techniques to time series prediction problems; Investigations of cross-validation and the bootstrap for risk estimation

P

Park, Yongjin

Department of Pathology & Laboratory Medicine, Faculty of Medicine

Faculty (G+PS eligible/member)

Other basic medicine and life sciences; High dimensional data analysis; Biostatistical methods; Bioinformatics; single-cell genomics; Computational Biology; Causal inference; Bayesian machine learning

S

Steif, Adi

Department of Medical Genetics, Faculty of Medicine

Faculty (G+PS eligible/member)

Bioinformatics; Algorithms and computational genomics; Genomics; Cancer genetics; Mechanisms of carcinogenesis; Cancer progression and metastasis; Statistical methods for high throughput data; High dimensional data analysis; Computational Biology; Machine Learning; Cancer Genomics; Single cell sequencing; Tumour evolution; Genomic technology development

Academic Units

French Name

Analyse de données haute dimension

French Description

Cette sous-classe comprend la recherche et le développement expérimental en analyse de données haute dimension.