While it is well known that multilevel modelling is one of the most efficient statistical analysis when data structure involves nesting of data between levels, precise power calculation methods remain under development.
With data about individual's personal preferences being increasingly stored by applications built atop various SaaS and PaaS cloud platforms, there is a growing need to ensure that privacy of such data is preserved while enabling efficient statistical operations on the data, even over multiple cloud applications belonging to multiple cloud sites.
Efficient statistical methods for large data sets such as FDR: this work can be algorithmic or writing efficient code to implement them.
Studies of air pollution effects on plant physiological responses to diurnal changes in environmental conditions are complex, and thus, require efficient statistical design and valid data analysis.
Furthermore, AutoEPG will enable the standardized and consistent analysis of EPG traces, in a fast and accurate manner, which will facilitate the efficient statistical analysis of large EPG data sets opening the way for higher throughput analysis.
The dimensions and diversity of available genetic, genomics and other 'omics data sets pose new theoretical and computational problems requiring multi-level data integration and efficient statistical analysis tools.
The extraction of information from patterns of variation in genetic data requires mathematical models that can capture the diversity and richness of population histories, as well as efficient statistical tools for fitting models to data.
To name a few, pathway-based analysis of NGS data requires more efficient statistical methods for detecting genome-wide rare variants, good computational capacity for handling large-scale datasets, improved genotype calling rate for sequencing data and finally the precise functional annotations.
The SpaCEM software (Spatial Clustering with EM and Markov Models) provides efficient statistical tools to deal with high-troughput biological data such as gene expression data.
In general, QSAR modelling requires three main features: a data set of molecules, appropriate descriptors and an efficient statistical method for capturing correlation.
