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BART-Survival: A Bayesian machine learning approach to survival analyses in Python.
Pub Date : 2025-01-28 DOI: 10.21105/joss.07213
Jacob Tiegs, Julia Raykin, Ilia Rochlin

BART-Survival is a Python package that allows time-to-event (survival) analyses in discrete-time using the non-parametric machine learning algorithm, Bayesian Additive Regression Trees (BART). BART-Survival combines the performance of the BART algorithm with the complementary data and model formatting required to complete the survival analyses. The library contains a convenient application programming interface (API) that allows a simple approach when using the library for survival analyses, while maintaining capabilities for added complexity when desired. The package is intended for analysts exploring use of flexible non-parametric alternatives to traditional (semi-)parametric survival analyses.

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引用次数: 0
harmonize-wq: Standardize, clean and wrangle Water Quality Portal data into more analytic-ready formats. harmonize-wq:将水质门户网站的数据标准化、清理和整理成更易于分析的格式。
Pub Date : 2024-10-22 DOI: 10.21105/joss.07305
Justin Bousquin, Cristina A Mullin
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引用次数: 0
primerForge: a Python program for identifying primer pairs capable of distinguishing groups of genomes from each other. primerForge:一个Python程序,用于识别能够区分基因组组的引物对。
Pub Date : 2024-09-16 DOI: 10.21105/joss.06850
Joseph S Wirth, Lee S Katz, Grant M Williams, Jessica C Chen

In both molecular epidemiology and microbial ecology, it is useful to be able to categorize specific strains of microorganisms in either an ingroup or an outgroup in a given population, e.g. to distinguish a pathogenic strain of interest from its non-virulent relatives. An "ingroup" refers to a group of microbes that are the primary focus of study or interest. Conversely, an "outgroup" consists of microbes that are closely-related to, but have evolved separately from, the ingroup. While whole genome sequencing and downstream phylogenetic analyses can be employed to do this, these techniques are often slow and can be resource intensive. Additionally, the laboratory would have to sequence the whole genome to use these tools to determine whether or not a new sample is part of the ingroup or outgroup. Alternatively, polymerase chain reaction (PCR) can be used to amplify regions of genetic material that are specific to the strain(s) of interest. PCR is faster, less expensive, and more accessible than whole genome sequencing, so having a PCR-based approach can accelerate the detection of specific strain(s) of microbes and facilitate diagnoses and/or population studies.

在分子流行病学和微生物生态学中,能够对特定种群内群或外群中的特定微生物菌株进行分类是有用的,例如,将感兴趣的致病菌株与其非毒性亲缘菌株区分开来。“内群体”指的是一组微生物,它们是研究或兴趣的主要焦点。相反,“外群”由与内群密切相关但又独立进化的微生物组成。虽然可以采用全基因组测序和下游系统发育分析来实现这一目标,但这些技术通常速度很慢,而且可能需要大量资源。此外,实验室必须对整个基因组进行测序,才能使用这些工具来确定一个新样本是属于内群体还是外群体。另外,聚合酶链反应(PCR)可用于扩增特定于感兴趣的菌株的遗传物质区域。PCR比全基因组测序更快、更便宜、更容易获得,因此基于PCR的方法可以加速对特定微生物菌株的检测,并促进诊断和/或种群研究。
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引用次数: 0
small_gicp: Efficient and parallel algorithms for pointcloud registration small_gicp:点云注册的高效并行算法
Pub Date : 2024-08-10 DOI: 10.21105/joss.06948
Kenji Koide
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引用次数: 0
gollum: An intuitive programmatic and visual interfacefor precomputed synthetic spectral model grids 咕噜:预计算合成光谱模型网格的直观编程和视觉界面
Pub Date : 2024-08-09 DOI: 10.21105/joss.06601
Sujay Shankar, M. Gully-Santiago, Caroline V. Morley, Jiayi Cao, Kyle F. Kaplan, Karina Kimani-Stewart, Diana Gonzalez-Argúeta
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引用次数: 0
regional-mom6: A Python package for automaticgeneration of regional configurations for the Modular Ocean Model6 regional-mom6:用于自动生成模块海洋模式 6 区域配置的 Python 软件包
Pub Date : 2024-08-09 DOI: 10.21105/joss.06857
Ashley J. Barnes, Navid C. Constantinou, A. Gibson, A. Kiss, Chris Chapman, John Reilly, Dhruv Bhagtani, Luwei Yang
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引用次数: 0
ExoTiC-LD: thirty seconds to stellar limb-darkeningcoefficients ExoTiC-LD:30 秒恒星边缘致暗系数
Pub Date : 2024-08-09 DOI: 10.21105/joss.06816
D. Grant, H. Wakeford
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引用次数: 0
XRTpy: A Hinode-X-Ray Telescope Python Package XRTpy:日冕-X 射线望远镜 Python 软件包
Pub Date : 2024-08-09 DOI: 10.21105/joss.06396
Joy Velasquez, Nicholas Murphy, Katharine K. Reeves, Jonathan Slavin, Mark Weber, Will T. Barnes
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引用次数: 0
SIRITVIS: Social Interaction Research Insights TopicVisualisation SIRITVIS:社会互动研究洞察主题可视化
Pub Date : 2024-08-08 DOI: 10.21105/joss.06243
Sagar Narwade, Gillian Kant, Benjamin Säfken, Benjamin Leiding
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引用次数: 0
SOUPy: Stochastic PDE-constrained optimization underhigh-dimensional uncertainty in Python SOUPy:Python 中高维不确定性下的随机 PDE 受限优化
Pub Date : 2024-07-28 DOI: 10.21105/joss.06101
Dingcheng Luo, Peng Chen, Thomas O'Leary-Roseberry, Umberto Villa, Omar Ghattas
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引用次数: 0
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Journal of open source software
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