BiRank: Fast and Flexible Ranking on Bipartite Networks with R and Python [0.03%]
BiRank：使用R和Python进行二分网络的快速灵活排序
Kai-Cheng Yang,Brian Aronson,Yong-Yeol Ahn
Kai-Cheng Yang
mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines [0.03%]
Mikropml：用户友好的监督机器学习流水线R包
Begüm D Topçuoğlu,Zena Lapp,Kelly L Sovacool et al.
Begüm D Topçuoğlu et al.
Machine learning (ML) for classification and prediction based on a set of features is used to make decisions in healthcare, economics, criminal justice and more. However, implementing an ML pipeline including preprocessing, model selection,...
David R Tyrpak,Yaocun Li,Siqi Lei et al.
David R Tyrpak et al.
Chromatiblock: scalable whole-genome visualization of structural differences in prokaryotes [0.03%]
染色体图谱：模拟原核生物基因组结构差异的可扩展方法
Mitchell John Sullivan,Harm van Bakel
Mitchell John Sullivan
Chromatiblock is a Python application for visualizing the presence, absence and arrangement of syntenic blocks across large numbers of complete bacterial genomes. Chromatiblock is freely available under a GPL license, for macOS, GNU/Linux a...
openEyeTrack - A high speed multi-threaded eye tracker for head-fixed applications [0.03%]
开放眼踪迹——一种高速多线程眼动追踪器用于头部固定应用程序
Jorge Paolo Casas,Chandramouli Chandrasekaran
Jorge Paolo Casas
Augur: a bioinformatics toolkit for phylogenetic analyses of human pathogens [0.03%]
Augur：一种针对人类病原体的系统发育分析生物信息学工具包
John Huddleston,James Hadfield,Thomas R Sibley et al.
John Huddleston et al.
The analysis of human pathogens requires a diverse collection of bioinformatics tools. These tools include standard genomic and phylogenetic software and custom software developed to handle the relatively numerous and short genomes of virus...
dms-view: Interactive visualization tool for deep mutational scanning data [0.03%]
基于深度突变扫描数据的交互式可视化工具
Sarah K Hilton,John Huddleston,Allison Black et al.
Sarah K Hilton et al.
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...
EMD: Empirical Mode Decomposition and Hilbert-Huang Spectral Analyses in Python [0.03%]
基于Python的HHT分析及其emd插件包
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, ...
Alan F Rubin
Alan F Rubin