HistomicsTK: A Python toolkit for pathology image analysis algorithms [0.03%]
HistomicsTK：用于病理图像分析算法的Python工具包
Fattaneh Pourakpour,Ákos Szölgyén,Ramin Nateghi et al.
Fattaneh Pourakpour et al.
Growth in the digital imaging of glass tissue slides has produced petabytes of data, however, this data remains underutilized in biomedical research due in part to a lack of open-source software. HistomicsTK is an open-source Python package...
SWCRTsimulator: A simulation-based platform for power estimation in stepped wedge cluster randomized trials with interval-censored outcomes [0.03%]
基于模拟的平台在具有区间截断结果的分步轮换集群随机试验中的应用与功率估计
Xintong Lu,Lee Kennedy-Shaffer,Veronika Shabanova
Xintong Lu
Stepped wedge cluster randomized trials (SWCRTs) have become increasingly popular across various disciplines, particularly in public health and clinical research, as they allow evaluations of interventions rolled out sequentially across clu...
ContDataQC: An R package and Shiny app for quality control of continuous water quality sensor data [0.03%]
ContDataQC：一个用于连续水质传感器数据质量控制的R软件包和Shiny应用程序
Michael J Pennino,Jen Stamp,Erik W Leppo et al.
Michael J Pennino et al.
The ContDataQC R package is a free, open-source tool that was developed to help water quality monitoring programs perform quality control (QC) procedures on continuous sensor data. ContDataQC helps users speed up and standardize the QC proc...
India Policy Insights: A geospatial and temporal data science and visualization platform and architecture [0.03%]
印度政策洞察：地理时空数据科学及可视化平台与架构
Devika Jain,Joaquin Kachinovsky,Gonzalo Rodriguez et al.
Devika Jain et al.
The Geographic Insights Lab at Harvard University developed India Policy Insights (IPI), a spatio-temporal visualization platform for policymakers. IPI provides insights from 122 indicators across population, health, and socioeconomic metri...
Stefano Chiaradonna,Petar Jevtić,Beckett Sterner
Stefano Chiaradonna
We present a Python package called Modular Petri Net Assembly Toolkit (MPAT) that empowers users to easily create large-scale, modular Petri Nets for various spatial configurations, including extensive spatial grids or those derived from sh...
Ahren B Fitzroy,Rebecca M C Spencer
Ahren B Fitzroy
Sleep science has seen a surge in discoveries fueled by enhanced data processing approaches to sleep physiology recordings. PSGpower is a MATLAB toolbox designed to make these processing steps more efficient and standardized. PSGpower impor...
QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity [0.03%]
QPPLab：用于检测、分析和可视化大脑活动的大型准周期时空模式（QPP）的通用软件包
Nan Xu,Behnaz Yousefi,Nmachi Anumba et al.
Nan Xu et al.
Quasi-periodic patterns (QPPs) are prominent spatiotemporal brain dynamics observed in functional neuroimaging data, reflecting the alternation of high and low activity across brain regions and their propagation along cortical gradients. QP...
McDAPS: A multi-channel physiological signals display and analysis system for clinical researchers [0.03%]
基于多通道生理信号的临床研究人员展示和分析系统
Wanwara Thuptimdang,Patjanaporn Chalacheva,Thomas D Coates et al.
Wanwara Thuptimdang et al.
We introduce McDAPS, an interactive software for assessing autonomic imbalance from non-invasive multi-channel physiological recordings. McDAPS provides a graphical user interface for data visualization, beat-to-beat processing and interact...
clotFoam: An open-source framework to simulate blood clot formation under arterial flow [0.03%]
基于开源框架的动脉血流中血栓形成的模拟研究
David Montgomery,Federico Municchi,Karin Leiderman
David Montgomery
Blood clotting involves the coupled processes of platelet aggregation and coagulation. Simulating clotting under flow in complex geometries is challenging due to multiple temporal and spatial scales and high computational cost. clotFoam is ...
BayesESS: A tool for quantifying the impact of parametric priors in Bayesian analysis [0.03%]
BayesESS：一种量化参数先验在贝叶斯分析中影响的工具
Jaejoon Song,Satoshi Morita,Ying-Wei Kuo et al.
Jaejoon Song et al.
Bayesian inference has become an attractive choice for scientists seeking to incorporate prior knowledge into their modeling framework. While the R community has been an important contributor in facilitating Bayesian statistical analyses, s...