from knockouts to networks establishing direct cause-effect relationships through graph analysis从淘汰赛中通过图形分析网络建立直接的因果关系.pdfVIP

from knockouts to networks establishing direct cause-effect relationships through graph analysis从淘汰赛中通过图形分析网络建立直接的因果关系.pdf

  1. 1、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。。
  2. 2、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载
  3. 3、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
  4. 4、该文档为VIP文档,如果想要下载,成为VIP会员后,下载免费。
  5. 5、成为VIP后,下载本文档将扣除1次下载权益。下载后,不支持退款、换文档。如有疑问请联系我们
  6. 6、成为VIP后,您将拥有八大权益,权益包括:VIP文档下载权益、阅读免打扰、文档格式转换、高级专利检索、专属身份标志、高级客服、多端互通、版权登记。
  7. 7、VIP文档为合作方或网友上传,每下载1次, 网站将根据用户上传文档的质量评分、类型等,对文档贡献者给予高额补贴、流量扶持。如果你也想贡献VIP文档。上传文档
查看更多
from knockouts to networks establishing direct cause-effect relationships through graph analysis从淘汰赛中通过图形分析网络建立直接的因果关系

From Knockouts to Networks: Establishing Direct Cause- Effect Relationships through Graph Analysis Andrea Pinna, Nicola Soranzo, Alberto de la Fuente* Center for Advanced Studies, Research and Development (CRS4) Bioinformatica, Pula, Italy Abstract Background: Reverse-engineering gene networks from expression profiles is a difficult problem for which a multitude of techniques have been developed over the last decade. The yearly organized DREAM challenges allow for a fair evaluation and unbiased comparison of these methods. Results: We propose an inference algorithm that combines confidence matrices, computed as the standard scores from single-gene knockout data, with the down-ranking of feed-forward edges. Substantial improvements on the predictions can be obtained after the execution of this second step. Conclusions: Our algorithm was awarded the best overall performance at the DREAM4 In Silico 100-gene network sub- challenge, proving to be effective in inferring medium-size gene regulatory networks. This success demonstrates once again the decisive importance of gene expression data obtained after systematic gene perturbations and highlights the usefulness of graph analysis to increase the reliability of inference. Citation: Pinna A, Soranzo N, de la Fuente A (2010) From Knockouts to Networks: Establishing Direct Cause-Effect Relationships through Graph Analysis. PLoS ONE 5(10): e12912. doi:10.1371/journal.pone.0012912 Editor: Mark Isalan, Center for Genomic Regulation, Spain Received April 2, 2010; Accepted July 29, 2010; Published October 11, 2010 Copyright: 2010 Pinna et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, pro

您可能关注的文档

文档评论(0)

hello118 + 关注
实名认证
文档贡献者

该用户很懒,什么也没介绍

1亿VIP精品文档

相关文档