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期刊名:Journal of open source software

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e-ISSN:2475-9066

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共收录本刊相关文章索引108
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Derrick J A Chambers,M Shawn Boltz,Calum J Chamberlain Derrick J A Chambers
Over the past decade, ObsPy, a python framework for seismology (Krischer et al., 2015), has become an integral part of many seismology research workflows. ObsPy provides parsers for most seismological data formats, clients for accessing dat...
Andrew J Quinn,Vitor Lopes-Dos-Santos,David Dupret et al. Andrew J Quinn et al.
The Empirical Mode Decomposition (EMD) package contains Python (>=3.5) functions for analysis of non-linear and non-stationary oscillatory time series. EMD implements a family of sifting algorithms, instantaneous frequency transformations, ...
Roni Choudhury,Jon Beezley,Brandon Davis et al. Roni Choudhury et al.
Metabolomics involves the comprehensive measurement of metabolites from a biological system. The resulting metabolite profiles are influenced by genetics, lifestyle, biological stresses, disease, diet and the environment and therefore provi...
John Hoffer,Rumana Rashid,Jeremy L Muhlich et al. John Hoffer et al.
Advances in highly multiplexed tissue imaging are transforming our understanding of human biology by enabling detection and localization of 10-100 proteins at subcellular resolution (Bodenmiller, 2016). Efforts are now underway to create pu...
Raoul R Wadhwa,Drew F K Williamson,Andrew Dhawan et al. Raoul R Wadhwa et al.
High-dimensional datasets are becoming more common in a variety of scientific fields. Well-known examples include next-generation sequencing in biology, patient health status in medicine, and computer vision in deep learning. Dimension redu...
J Sebastian Paez,Michael K Wendt,Nadia Atallah Lanman J Sebastian Paez
Single-cell RNA sequencing (scRNA-seq) is now a commonly used technique to measure the transcriptome of populations of cells. Clustering heterogeneous cells based on these transcriptomes enables identification of cell populations (Butler, H...