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 ...

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 ...

Longitudinal data analysis encompasses a range of statistical methodologies that examine data collected over extended periods, enabling researchers to disentangle temporal effects and dynamic ...

Set custom instructions, filter chosen materials, and record voice briefings to get accurate insights and polished deliverables faster.

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 ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...

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 ...

Sensing a greater need in big-data analysis tools, IBM will invest $100 million to research advanced large-scale analytics, the company announced Friday. IBM also said it will have 20 new service ...

The Researcher agent is tailored to simplify and optimize intricate, multi-step research processes. By integrating OpenAI’s advanced research models into Microsoft 365 Copilot, this tool enables users ...