David J Schodt,Michael J Wester,Mohamadreza Fazel et al.
David J Schodt et al.
Fluorescence single molecule imaging comprises a variety of techniques that involve detecting individual fluorescent molecules. Many of these techniques involve localizing individual fluorescent molecules with precisions below the diffracti...
HeuDiConv - flexible DICOM conversion into structured directory layouts [0.03%]
HeuDiConv-灵活的DICOM转换到结构化的目录布局中
Yaroslav O Halchenko,Mathias Goncalves,Satrajit Ghosh et al.
Yaroslav O Halchenko et al.
PET2BIDS: a library for converting Positron Emission Tomography data to BIDS [0.03%]
PET2BIDS：用于将正电子发射断层扫描数据转换为BIDS的库
Anthony Galassi,Martin Norgaard,Adam G Thomas et al.
Anthony Galassi et al.
Lee S Katz,John Phan,Henk C den Bakker
Lee S Katz
Henk C den Bakker,Lee S Katz
Henk C den Bakker
Here we present Sepia, a fast and accurate read classifier. It is implemented in Rust, has the ability to switch between different taxonomies, can detect inconsistencies in taxonomies, and can estimate similarities between organisms in a qu...
Michael Dumelle,Erin E Peterson,Jay M Ver Hoef et al.
Michael Dumelle et al.
The SSN2 R package provides tools for spatial statistical modeling, parameter estimation, and prediction on stream (river) networks. SSN2 is the successor to the SSN R package (Ver Hoef, Peterson, Clifford, & Shah, 2014), which was archived...
spiketools: a Python package for analyzing single-unit neural activity [0.03%]
spiketools：用于分析单神经元活动的Python包
Thomas Donoghue,Sandra Maesta-Pereira,Claire Zhixian Han et al.
Thomas Donoghue et al.
HNN-core: A Python software for cellular and circuit-level interpretation of human MEG/EEG [0.03%]
HNN核心：一个用于人类脑磁图/脑电图的细胞和电路水平解释的Python软件
Mainak Jas,Ryan Thorpe,Nicholas Tolley et al.
Mainak Jas et al.
HNN-core is a library for circuit and cellular level interpretation of non-invasive human magneto-/electro-encephalography (MEG/EEG) data. It is based on the Human Neocortical Neurosolver (HNN) software (Neymotin et al., 2020), a modeling t...
SCIMAP: A Python Toolkit for Integrated Spatial Analysis of Multiplexed Imaging Data [0.03%]
SCIMAP：用于多路复用成像数据综合空间分析的Python工具包
Ajit J Nirmal,Peter K Sorger
Ajit J Nirmal
Multiplexed imaging data are revolutionizing our understanding of the composition and organization of tissues and tumors ("Catching up with Multiplexed Tissue Imaging," 2022). A critical aspect of such "tissue profiling" is quantifying the ...
SuperNOVA: Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions in R [0.03%]
基于R语言中混合暴露的随机干预下的交互作用和效应修饰的半参数识别与估计：超新星包
David McCoy,Alejandro Schuler,Alan Hubbard et al.
David McCoy et al.
Environmental epidemiology studies aim to understand the impact of mixed exposures on health outcomes while adjusting for covariates. However, traditional statistical methods make simplistic assumptions that may not be applicable to public ...