• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

CloudNMF:一种用于大规模生物数据集的非负矩阵分解的 MapReduce 实现。

CloudNMF: a MapReduce implementation of nonnegative matrix factorization for large-scale biological datasets.

机构信息

School of Computer Science, Fudan University, Shanghai 200433, China.

Department of Computer Science and Technology, Tongji University, Shanghai 200092, China.

出版信息

Genomics Proteomics Bioinformatics. 2014 Feb;12(1):48-51. doi: 10.1016/j.gpb.2013.06.001. Epub 2013 Aug 8.

DOI:10.1016/j.gpb.2013.06.001
PMID:23933456
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4411332/
Abstract

In the past decades, advances in high-throughput technologies have led to the generation of huge amounts of biological data that require analysis and interpretation. Recently, nonnegative matrix factorization (NMF) has been introduced as an efficient way to reduce the complexity of data as well as to interpret them, and has been applied to various fields of biological research. In this paper, we present CloudNMF, a distributed open-source implementation of NMF on a MapReduce framework. Experimental evaluation demonstrated that CloudNMF is scalable and can be used to deal with huge amounts of data, which may enable various kinds of a high-throughput biological data analysis in the cloud. CloudNMF is freely accessible at http://admis.fudan.edu.cn/projects/CloudNMF.html.

摘要

在过去的几十年中,高通量技术的进步导致了大量生物数据的产生,这些数据需要进行分析和解释。最近,非负矩阵分解(NMF)作为一种有效的数据简化和解释方法被引入,并已应用于生物研究的各个领域。在本文中,我们提出了 CloudNMF,这是一种基于 MapReduce 框架的 NMF 的分布式开源实现。实验评估表明,CloudNMF 是可扩展的,可以用于处理大量数据,这可能使各种高通量生物数据分析在云中得以实现。CloudNMF 可在 http://admis.fudan.edu.cn/projects/CloudNMF.html 上免费获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea14/4411332/2fd71a3c520c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea14/4411332/4e43a61935ef/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea14/4411332/813954225471/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea14/4411332/cf9129a09837/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea14/4411332/2fd71a3c520c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea14/4411332/4e43a61935ef/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea14/4411332/813954225471/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea14/4411332/cf9129a09837/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea14/4411332/2fd71a3c520c/gr3.jpg

相似文献

1
CloudNMF: a MapReduce implementation of nonnegative matrix factorization for large-scale biological datasets.CloudNMF:一种用于大规模生物数据集的非负矩阵分解的 MapReduce 实现。
Genomics Proteomics Bioinformatics. 2014 Feb;12(1):48-51. doi: 10.1016/j.gpb.2013.06.001. Epub 2013 Aug 8.
2
bioNMF: a web-based tool for nonnegative matrix factorization in biology.bioNMF:一种用于生物学中非负矩阵分解的基于网络的工具。
Nucleic Acids Res. 2008 Jul 1;36(Web Server issue):W523-8. doi: 10.1093/nar/gkn335. Epub 2008 May 30.
3
A flexible R package for nonnegative matrix factorization.一个用于非负矩阵分解的灵活 R 包。
BMC Bioinformatics. 2010 Jul 2;11:367. doi: 10.1186/1471-2105-11-367.
4
CloudDOE: a user-friendly tool for deploying Hadoop clouds and analyzing high-throughput sequencing data with MapReduce.CloudDOE:一款用于部署Hadoop云并使用MapReduce分析高通量测序数据的用户友好型工具。
PLoS One. 2014 Jun 4;9(6):e98146. doi: 10.1371/journal.pone.0098146. eCollection 2014.
5
Microbiome Data Representation by Joint Nonnegative Matrix Factorization with Laplacian Regularization.基于拉普拉斯正则化联合非负矩阵分解的微生物组数据表示
IEEE/ACM Trans Comput Biol Bioinform. 2017 Mar-Apr;14(2):353-359. doi: 10.1109/TCBB.2015.2440261.
6
Hessian regularization based symmetric nonnegative matrix factorization for clustering gene expression and microbiome data.基于Hessian正则化的对称非负矩阵分解用于聚类基因表达和微生物组数据
Methods. 2016 Dec 1;111:80-84. doi: 10.1016/j.ymeth.2016.06.017. Epub 2016 Jun 20.
7
Convex nonnegative matrix factorization with manifold regularization.具有流形正则化的凸非负矩阵分解。
Neural Netw. 2015 Mar;63:94-103. doi: 10.1016/j.neunet.2014.11.007. Epub 2014 Dec 4.
8
Online nonnegative matrix factorization with robust stochastic approximation.在线非负矩阵分解的鲁棒随机逼近。
IEEE Trans Neural Netw Learn Syst. 2012 Jul;23(7):1087-99. doi: 10.1109/TNNLS.2012.2197827.
9
Manifold regularized discriminative nonnegative matrix factorization with fast gradient descent.带快速梯度下降的流形正则化判别非负矩阵分解。
IEEE Trans Image Process. 2011 Jul;20(7):2030-48. doi: 10.1109/TIP.2011.2105496. Epub 2011 Jan 13.
10
Nonnegative matrix factorization: an analytical and interpretive tool in computational biology.非负矩阵分解:计算生物学中的一种分析和解释工具。
PLoS Comput Biol. 2008 Jul 25;4(7):e1000029. doi: 10.1371/journal.pcbi.1000029.

引用本文的文献

1
Biclustering data analysis: a comprehensive survey.双聚类数据分析:全面综述。
Brief Bioinform. 2024 May 23;25(4). doi: 10.1093/bib/bbae342.
2
easyMF: A Web Platform for Matrix Factorization-Based Gene Discovery from Large-scale Transcriptome Data.easyMF:一个基于矩阵分解的大规模转录组数据基因发现的网络平台。
Interdiscip Sci. 2022 Sep;14(3):746-758. doi: 10.1007/s12539-022-00522-2. Epub 2022 May 18.
3
Inference of Large-scale Time-delayed Gene Regulatory Network with Parallel MapReduce Cloud Platform.基于并行 MapReduce 云平台的大规模时滞基因调控网络推断。

本文引用的文献

1
LinkNMF: identification of histone modification modules in the human genome using nonnegative matrix factorization.LinkNMF:基于非负矩阵分解的人类基因组中组蛋白修饰模块的识别。
Gene. 2013 Apr 10;518(1):215-21. doi: 10.1016/j.gene.2012.11.027. Epub 2012 Dec 22.
2
Bioinformatics clouds for big data manipulation.生物信息学云服务用于大数据操作。
Biol Direct. 2012 Nov 28;7:43; discussion 43. doi: 10.1186/1745-6150-7-43.
3
Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.通过癌症基因组数据的综合分析发现多维模块。
Sci Rep. 2018 Dec 12;8(1):17787. doi: 10.1038/s41598-018-36180-y.
4
eDRAM: Effective early disease risk assessment with matrix factorization on a large-scale medical database: A case study on rheumatoid arthritis.eDRAM:基于大规模医疗数据库的矩阵分解进行有效的早期疾病风险评估——以类风湿关节炎为例。
PLoS One. 2018 Nov 26;13(11):e0207579. doi: 10.1371/journal.pone.0207579. eCollection 2018.
5
Enter the Matrix: Factorization Uncovers Knowledge from Omics.《进入矩阵:从组学中发现知识的因子分解》
Trends Genet. 2018 Oct;34(10):790-805. doi: 10.1016/j.tig.2018.07.003. Epub 2018 Aug 22.
6
NMF-mGPU: non-negative matrix factorization on multi-GPU systems.NMF-mGPU:多GPU系统上的非负矩阵分解
BMC Bioinformatics. 2015 Feb 13;16:43. doi: 10.1186/s12859-015-0485-4.
Nucleic Acids Res. 2012 Oct;40(19):9379-91. doi: 10.1093/nar/gks725. Epub 2012 Aug 8.
4
The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored.2011年的STRING数据库:蛋白质的功能相互作用网络,全球整合并评分。
Nucleic Acids Res. 2011 Jan;39(Database issue):D561-8. doi: 10.1093/nar/gkq973. Epub 2010 Nov 2.
5
Discovering gene functional relationships using FAUN (Feature Annotation Using Nonnegative matrix factorization).使用 FAUN(基于非负矩阵分解的特征注释)发现基因功能关系。
BMC Bioinformatics. 2010 Oct 7;11 Suppl 6(Suppl 6):S14. doi: 10.1186/1471-2105-11-S6-S14.
6
A flexible R package for nonnegative matrix factorization.一个用于非负矩阵分解的灵活 R 包。
BMC Bioinformatics. 2010 Jul 2;11:367. doi: 10.1186/1471-2105-11-367.
7
Non-negative matrix factorization of gene expression profiles: a plug-in for BRB-ArrayTools.基因表达谱的非负矩阵分解:BRB-ArrayTools的一个插件。
Bioinformatics. 2009 Feb 15;25(4):545-7. doi: 10.1093/bioinformatics/btp009. Epub 2009 Jan 8.
8
Nonnegative matrix factorization: an analytical and interpretive tool in computational biology.非负矩阵分解:计算生物学中的一种分析和解释工具。
PLoS Comput Biol. 2008 Jul 25;4(7):e1000029. doi: 10.1371/journal.pcbi.1000029.
9
bioNMF: a web-based tool for nonnegative matrix factorization in biology.bioNMF:一种用于生物学中非负矩阵分解的基于网络的工具。
Nucleic Acids Res. 2008 Jul 1;36(Web Server issue):W523-8. doi: 10.1093/nar/gkn335. Epub 2008 May 30.
10
Biclustering of gene expression data by Non-smooth Non-negative Matrix Factorization.基于非光滑非负矩阵分解的基因表达数据双聚类分析
BMC Bioinformatics. 2006 Feb 17;7:78. doi: 10.1186/1471-2105-7-78.