找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Data Mining for Systems Biology; Methods and Protocol Hiroshi Mamitsuka Book 2018Latest edition Springer Science+Business Media, LLC, part

[复制链接]
查看: 11107|回复: 58
发表于 2025-3-21 17:32:34 | 显示全部楼层 |阅读模式
书目名称Data Mining for Systems Biology
副标题Methods and Protocol
编辑Hiroshi Mamitsuka
视频video
概述Includes cutting-edge techniques for data mining in systems biology.Provides step-by-step guidance essential for reproducible results.Contains expert tips and implementation advice from practitioners
丛书名称Methods in Molecular Biology
图书封面Titlebook: Data Mining for Systems Biology; Methods and Protocol Hiroshi Mamitsuka Book 2018Latest edition Springer Science+Business Media, LLC, part
描述This fully updated book collects numerous data mining techniques, reflecting the acceleration and diversity of the development of data-driven approaches to the life sciences. The first half of the volume examines genomics, particularly metagenomics and epigenomics, which promise to deepen our knowledge of genes and genomes, while the second half of the book emphasizes metabolism and the metabolome as well as relevant medicine-oriented subjects. Written for the highly successful .Methods in Molecular Biology. series, chapters include the kind of detail and expert implementation advice that is useful for getting optimal results. .Authoritative and practical, .Data Mining for Systems Biology: Methods and Protocols, Second Edition. serves as an ideal resource for researchers of biology and relevant fields, such as medical, pharmaceutical, and agricultural sciences, as well as for the scientists and engineers who are working on developing data-driven techniques, such as databases, data sciences, data mining, visualization systems, and machine learning or artificial intelligence that now are central to the paradigm-altering discoveries being made with a higher frequency..
出版日期Book 2018Latest edition
关键词Metagenomics; Epigenomics; Metabolomics; Data sciences; Machine learning; Pharmaceutical science; Artifici
版次2
doihttps://doi.org/10.1007/978-1-4939-8561-6
isbn_softcover978-1-4939-9326-0
isbn_ebook978-1-4939-8561-6Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2018
The information of publication is updating

书目名称Data Mining for Systems Biology影响因子(影响力)




书目名称Data Mining for Systems Biology影响因子(影响力)学科排名




书目名称Data Mining for Systems Biology网络公开度




书目名称Data Mining for Systems Biology网络公开度学科排名




书目名称Data Mining for Systems Biology被引频次




书目名称Data Mining for Systems Biology被引频次学科排名




书目名称Data Mining for Systems Biology年度引用




书目名称Data Mining for Systems Biology年度引用学科排名




书目名称Data Mining for Systems Biology读者反馈




书目名称Data Mining for Systems Biology读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:37:12 | 显示全部楼层
发表于 2025-3-22 04:04:45 | 显示全部楼层
发表于 2025-3-22 06:38:42 | 显示全部楼层
发表于 2025-3-22 11:02:35 | 显示全部楼层
Inferring Antimicrobial Resistance from Pathogen Genomes in KEGG,ing an increasingly serious threat to the global public health. Here we present how knowledge on AMR is accumulated in the KEGG Pathogen resource and how such knowledge can be utilized by BlastKOALA and other web tools.
发表于 2025-3-22 13:17:11 | 显示全部楼层
发表于 2025-3-22 19:06:36 | 显示全部楼层
Commercial Aircraft Composite Technologyles analyzed by short read high-throughput sequencing. By grouping closely related strains together in clusters, the BIB pipeline is capable of estimating the relative abundances of the clusters contained in a sequencing sample.
发表于 2025-3-23 01:15:34 | 显示全部楼层
https://doi.org/10.1007/978-3-319-31918-6. We provide a step-by-step guideline on how we trained the classification models and how it can easily generalize to user-defined reference genomes and specific applications. We also give additional details on what effect parameters in the algorithm have on performances.
发表于 2025-3-23 04:51:24 | 显示全部楼层
发表于 2025-3-23 06:21:01 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-22 00:57
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表