Wolfram: Coronavirus

栏目: IT技术 · 发布时间: 4年前

内容简介:This post is intended to be the hub for Wolfram resources related to novel coronavirus COVID-19 ( a.k.a. 2019-nCoV ) from Wuhan, China. The larger aim is to provide a forum for disseminating ways in which Wolfram technologies and coding can be utilized to

Short URL to share this post: https://wolfr.am/coronavirus

This post is intended to be the hub for Wolfram resources related to novel coronavirus COVID-19 ( a.k.a. 2019-nCoV ) from Wuhan, China. The larger aim is to provide a forum for disseminating ways in which Wolfram technologies and coding can be utilized to shed light on the virus and epidemic. Possibilities include using the Wolfram Language for data-mining, modeling, analysis, visualizations, and so forth. Among other things, we encourage comments and feedback on these resources. Please note that this is intended for technical analysis and discussion supported by computation. Aspects outside this scope and better suited for different forums should be avoided. Thank you for your contribution!

Wolfram: Coronavirus Wolfram: Coronavirus Wolfram: Coronavirus Wolfram: Coronavirus Wolfram: Coronavirus Wolfram: Coronavirus Wolfram: Coronavirus

https://wolfr.am/COVID19Dashboard

Data Sources

We have published and are continuously updating the following Wolfram Data Repository entries:

Computational Articles:

We encourage you to share your computational explorations relevant to coronavirus on Wolfram Community as stand-alone articles and then comment with their URL links on this discussion thread. We will summarize these articles in the following list:

Genome analysis and the SARS-nCoV-2by Daniel Lichtblau

https://community.wolfram.com/groups/-/m/t/1874816

Modeling the spatial spread of infection diseases in the USby Diego Zviovich

https://community.wolfram.com/groups/-/m/t/1889072

A walk-through of the SARS-CoV-2 nucleotide Wolfram resourceby John Cassel

https://community.wolfram.com/groups/-/m/t/1887456

COVID19 in Iran: under-diagnosis issueby Mads Bahrami

https://community.wolfram.com/groups/-/m/t/1891140

Geometrical analysis of genome for COVID-19 vs SARS-like virusesby Mads Bahrami

https://community.wolfram.com/groups/-/m/t/1878824

Chaos Game For Clustering of Novel Coronavirus COVID-19by Mads Bahrami

https://community.wolfram.com/groups/-/m/t/1875994

Updated: coronavirus logistic growth model: Chinaby Robert Rimmer

https://community.wolfram.com/groups/-/m/t/1890271

Coronavirus logistic growth model: Chinaby Robert Rimmer

https://community.wolfram.com/groups/-/m/t/1887435

Coronavirus logistic growth model: Italy and South Koreaby Robert Rimmer

https://community.wolfram.com/groups/-/m/t/1887823

Coronavirus logistic growth model: South Koreaby Robert Rimmer

https://community.wolfram.com/groups/-/m/t/1894561

Mapping Novel Coronavirus COVID-19 Outbreakby Jofre Espigule-Pons

https://community.wolfram.com/groups/-/m/t/1868945

Visualizing Sequence Alignments from the COVID-19by Jessica Shi

https://community.wolfram.com/groups/-/m/t/1875352

Video Recordings

Other useful resources:


以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持 码农网

查看所有标签

猜你喜欢:

本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们

众包

众包

杰夫·豪 / 牛文静 / 中信出版社 / 2009-6 / 36.00元

本书是继《长尾理论》之后的重要商业书籍。本书回答了《长尾理论》遗留的一大悬念。在长尾中作者详细阐述了长尾之所以成为可能的一个基础,但是没有详细解读,本书就是对这一悬念的详细回答,是《长尾理论》作者强力推荐的图书,在国际上引起了不小的轰动,“众包”这一概念也成为一个标准术语被商界广泛重视。本书大致分为三个部分,介绍众包的现在、过去和未来,解释了它的缘起、普遍性、力量以及商业上的适用性,通俗易懂,精彩......一起来看看 《众包》 这本书的介绍吧!

Base64 编码/解码
Base64 编码/解码

Base64 编码/解码

XML、JSON 在线转换
XML、JSON 在线转换

在线XML、JSON转换工具

RGB CMYK 转换工具
RGB CMYK 转换工具

RGB CMYK 互转工具