Missing data present a perennial challenge in scientific research, potentially undermining the validity of conclusions if not addressed rigorously. The analysis of missing data encompasses a broad ...
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 ...
Quantitative and qualitative approaches face different challenges and expectations, particularly when it comes to data ...
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 ...
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 ...
At this stage it’s important to follow the best practices in your discipline. Whether you are using your desktop, a computing cluster, or a Jupyter notebook on Google, you’ll need to have a plan for ...
Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...
The Gordon and Betty Moore Foundation has awarded a Johns Hopkins University astronomer and computer scientist a $1.2 million grant to devise a new method for analyzing information created in ...
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