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Dr Žurauskienė’s research is broadly focused on development of new statistical and computational tools to address challenges posed by large-scale and high-dimensional data (e.g. genomic data). Modelling dynamical systems that involve complex interactions between several components such as genetics, environment and life style; also teasing apart scientifically interesting patterns and trends from natural biological heterogeneity and underlying confounding factors. Methodological applications are focusing on women’s health research, in particular maternal health studies and child development.
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论文共 11 篇作者统计合作学者相似作者
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JOURNAL OF GLOBAL HEALTHno. 2 (2020): 020351-020351
BMC Bioinformaticsno. 1 (2016): 140-140
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