When researchers require some statistical expertise or data analysis know-how, The Methodology Center at Purdue (MCAP) is there. A collaboration between the Purdue University College of Health and ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Functional data analysis is typically conducted within the L²-Hilbert space framework. There is by now a fully developed statistical toolbox allowing for the principled application of the functional ...

Research from Umeå University paves the way for a quantitative data analysis method to study the cell division process in individual cells. The improved resolution will promote advanced cell analysis ...

Until recently, humanitarian organizations have not routinely used cost data to compare the efficiency or effectiveness of different interventions and program delivery models. As a result, policy ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...