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 ...
Longitudinal data analysis encompasses a range of statistical methodologies that examine data collected over extended periods, enabling researchers to disentangle temporal effects and dynamic ...
A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. In April 2023, Pew Research Center published an analysis of mission statements ...
Members of the university community are invited to participate in a workshop on "Modern Methods for Data Analysis" from Monday, Jan. 11 through Friday, Jan. 15, from 10 a.m. to noon (EST). The ...
The ability to analyse any problem or topic, to bring evidence to the table in support of your decisions, to back your arguments with facts – the skill of research is a business-critical competence ...
This study looks at how national public opinion polling in the United States changed from 2000 to 2022. It focuses on two aspects: the sample source(s) – that is, where the survey takers came from – ...