找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Bioconductor Case Studies; Florian Hahne,Wolfgang Huber,Seth Falcon Book 2008 Springer-Verlag New York 2008 Annotation.Bioinformatics.Clus

[復(fù)制鏈接]
樓主: 減輕
41#
發(fā)表于 2025-3-28 16:09:26 | 只看該作者
Graph Layout,In this chapter we demonstrate how to lay out and render graphs using tools from the . and . packages.
42#
發(fā)表于 2025-3-28 20:59:26 | 只看該作者
43#
發(fā)表于 2025-3-29 00:16:36 | 只看該作者
Michael J?ckel,Jan Dietrich Reinhardtcs, and working with . as hash tables. We introduce the . class as an example for a basic Bioconductor structure used for holding genomic data, in this case expression microarray data. And we explore some visualization techniques for gene expression data to get a feeling for R’s extensive graphical
44#
發(fā)表于 2025-3-29 05:44:36 | 只看該作者
45#
發(fā)表于 2025-3-29 08:16:19 | 只看該作者
https://doi.org/10.1007/978-3-658-43321-5c filtering step to remove probes for genes that appear to be always unexpressed or at least not differentially expressed. Second, a probe-by-probe statistical test, and third, multiple testing correction to get an attenuated test statistic through the false discovery rate (FDR). There are many vari
46#
發(fā)表于 2025-3-29 13:14:52 | 只看該作者
47#
發(fā)表于 2025-3-29 17:15:14 | 只看該作者
https://doi.org/10.1007/978-3-658-22970-2 In this chapter, we explore a curated dataset of protein interactions and perform a statistical analysis of the relationship between protein interaction and coexpression. We also show how to access large-scale protein–protein interaction datasets from the IntAct repository at the EBI.
48#
發(fā)表于 2025-3-29 21:04:00 | 只看該作者
Kreativit?t in der Unterhaltungsproduktion, and it can help to increase the statistical power of analyses by aggregating the signal across groups of related genes. In this chapter, we introduce tools available in the . and . packages for carrying out gene set enrichment analysis.
49#
發(fā)表于 2025-3-30 03:03:21 | 只看該作者
https://doi.org/10.1007/978-3-658-35214-1 functional relationships among those genes that might help better elucidate the underlying biology. These methods typically rely on existing or predefined sets of genes. In this chapter we show how to carry out Hypergeometric tests to identify potentially interesting gene sets.
50#
發(fā)表于 2025-3-30 04:52:16 | 只看該作者
Florian Hahne,Wolfgang Huber,Seth FalconDynamic document: all computations and figures can be reproduced on a local computer.Real data case studies and hands on exercises.Companion website offering color figures and solutions to exercises.I
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 02:06
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
阿拉善盟| 澎湖县| 即墨市| 雅江县| 醴陵市| 屏南县| 察隅县| 日照市| 闽侯县| 内黄县| 红原县| 博白县| 象山县| 桑日县| 德钦县| 元谋县| 灯塔市| 晋宁县| 长泰县| 隆尧县| 衡水市| 周至县| 唐河县| 耿马| 临安市| 台山市| 富锦市| 聂荣县| 康乐县| 五原县| 常州市| 沂源县| 六安市| 改则县| 盐城市| 新巴尔虎左旗| 苏尼特左旗| 崇左市| 阳江市| 平舆县| 兴化市|