In data analysis and machine learning practice, "dimensionality reduction" is an essential technique for visualizing high-dimensional data and as a preprocessing step for clustering. Representative ...
SNID-SAGE (SuperNova IDentification – Spectral Analysis and Guided Exploration) is your go-to tool for analyzing supernova spectra. It combines an intuitive PySide6/Qt graphical interface with the ...
Please cite Yang et al. (2022) if you used SeisGo in your research. Yang, X., Bryan, J., Okubo, K., Jiang, C., Clements, T., & Denolle, M. A. (2022). Optimal stacking ...
In today’s data-driven world, the ability to effectively analyze data is a key factor in the success of many enterprises. By leveraging data analysis tools and techniques, businesses can gain insights ...
Time series forecasting is a fundamental task in data science, applied statistics, and econometrics. With time series forecasting we aim to predict the future values of time series datasets. A time ...
Background: Mesenchymal stromal cells (MSCs) and fibroblasts show similar morphology, surface marker expression, and proliferation, differentiation, and immunomodulatory capacities. These similarities ...
Our results suggest that the formation of the X-ray tail is tightly related to the formation of the Hα tail, which in turn indicates a strong correlation between the hot gas and the warm gas. This is ...
Certain diseases have strong comorbidity and co-occurrence with others. Understanding disease–disease associations can potentially increase awareness among healthcare providers of co-occurring ...
Background: The approval of immune checkpoint inhibitors in combination with specific diagnostic biomarkers presents new challenges to pathologists as tumor tissue needs to be tested for expression of ...
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