語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Handbook of statistical bioinformatics
~
Lu, Henry Horng-Shing.
FindBook
Google Book
Amazon
博客來
Handbook of statistical bioinformatics
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Handbook of statistical bioinformatics/ edited by Henry Horng-Shing Lu ... [et al.].
其他作者:
Lu, Henry Horng-Shing.
出版者:
Berlin, Heidelberg :Springer Berlin Heidelberg : : 2022.,
面頁冊數:
viii, 410 p. :ill. (chiefly color), digital ;24 cm.
內容註:
Preface -- Part I Single-cell Analysis -- Computational and statistical methods for single-cell RNA sequencing data -- Pre-processing, dimension reduction, and clustering for single-cell RNA-seq data -- Integrative analyses of single-cell multi-omics data: a review from a statistical perspective -- Approaches to marker gene identification from single-cell RNA-sequencing data -- Model-based clustering of single-cell omics data -- Deep learning methods for single cell omics data -- Part II Network Analysis -- Probabilistic Graphical Models for Gene Regulatory Networks -- Additive conditional independence for large and complex biological structures -- Integration of Boolean and Bayesian Networks -- Computational methods for identifying microRNA-gene regulatory modules -- Causal inference in biostatistics -- Bayesian Balance Mediation Analysis in Microbiome Studies -- Part III Systems Biology -- Identifying genetic loci associated with complex trait variability -- Cell Type Specific Analysis for Gene Expression and DNA Methylation -- Recent development of computational methods in the field of epitranscriptomics -- Estimation of Tumor Immune Signatures from Transcriptomics Data -- Cross-Linking Mass Spectrometry Data Analysis -- Cis-regulatory Element Frequency Modules and their Phase Transition across Hominidae -- Improving tip-dating and rooting a viral phylogeny by modeling evolutionary rate as a function of time.
Contained By:
Springer Nature eBook
標題:
Bioinformatics - Statistical methods. -
電子資源:
https://doi.org/10.1007/978-3-662-65902-1
ISBN:
9783662659021
Handbook of statistical bioinformatics
Handbook of statistical bioinformatics
[electronic resource] /edited by Henry Horng-Shing Lu ... [et al.]. - Second edition. - Berlin, Heidelberg :Springer Berlin Heidelberg :2022. - viii, 410 p. :ill. (chiefly color), digital ;24 cm. - Springer handbooks of computational statistics,2197-9804. - Springer handbooks of computational statistics..
Preface -- Part I Single-cell Analysis -- Computational and statistical methods for single-cell RNA sequencing data -- Pre-processing, dimension reduction, and clustering for single-cell RNA-seq data -- Integrative analyses of single-cell multi-omics data: a review from a statistical perspective -- Approaches to marker gene identification from single-cell RNA-sequencing data -- Model-based clustering of single-cell omics data -- Deep learning methods for single cell omics data -- Part II Network Analysis -- Probabilistic Graphical Models for Gene Regulatory Networks -- Additive conditional independence for large and complex biological structures -- Integration of Boolean and Bayesian Networks -- Computational methods for identifying microRNA-gene regulatory modules -- Causal inference in biostatistics -- Bayesian Balance Mediation Analysis in Microbiome Studies -- Part III Systems Biology -- Identifying genetic loci associated with complex trait variability -- Cell Type Specific Analysis for Gene Expression and DNA Methylation -- Recent development of computational methods in the field of epitranscriptomics -- Estimation of Tumor Immune Signatures from Transcriptomics Data -- Cross-Linking Mass Spectrometry Data Analysis -- Cis-regulatory Element Frequency Modules and their Phase Transition across Hominidae -- Improving tip-dating and rooting a viral phylogeny by modeling evolutionary rate as a function of time.
Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology.
ISBN: 9783662659021
Standard No.: 10.1007/978-3-662-65902-1doiSubjects--Topical Terms:
590632
Bioinformatics
--Statistical methods.
LC Class. No.: QH324.2
Dewey Class. No.: 570.285
Handbook of statistical bioinformatics
LDR
:03385nmm a2200349 a 4500
001
2306984
003
DE-He213
005
20221208144727.0
006
m d
007
cr nn 008maaau
008
230421s2022 gw s 0 eng d
020
$a
9783662659021
$q
(electronic bk.)
020
$a
9783662659014
$q
(paper)
024
7
$a
10.1007/978-3-662-65902-1
$2
doi
035
$a
978-3-662-65902-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QH324.2
072
7
$a
PBT
$2
bicssc
072
7
$a
SCI086000
$2
bisacsh
072
7
$a
PBT
$2
thema
082
0 4
$a
570.285
$2
23
090
$a
QH324.2
$b
.H236 2022
245
0 0
$a
Handbook of statistical bioinformatics
$h
[electronic resource] /
$c
edited by Henry Horng-Shing Lu ... [et al.].
250
$a
Second edition.
260
$a
Berlin, Heidelberg :
$b
Springer Berlin Heidelberg :
$b
Imprint: Springer,
$c
2022.
300
$a
viii, 410 p. :
$b
ill. (chiefly color), digital ;
$c
24 cm.
490
1
$a
Springer handbooks of computational statistics,
$x
2197-9804
505
0
$a
Preface -- Part I Single-cell Analysis -- Computational and statistical methods for single-cell RNA sequencing data -- Pre-processing, dimension reduction, and clustering for single-cell RNA-seq data -- Integrative analyses of single-cell multi-omics data: a review from a statistical perspective -- Approaches to marker gene identification from single-cell RNA-sequencing data -- Model-based clustering of single-cell omics data -- Deep learning methods for single cell omics data -- Part II Network Analysis -- Probabilistic Graphical Models for Gene Regulatory Networks -- Additive conditional independence for large and complex biological structures -- Integration of Boolean and Bayesian Networks -- Computational methods for identifying microRNA-gene regulatory modules -- Causal inference in biostatistics -- Bayesian Balance Mediation Analysis in Microbiome Studies -- Part III Systems Biology -- Identifying genetic loci associated with complex trait variability -- Cell Type Specific Analysis for Gene Expression and DNA Methylation -- Recent development of computational methods in the field of epitranscriptomics -- Estimation of Tumor Immune Signatures from Transcriptomics Data -- Cross-Linking Mass Spectrometry Data Analysis -- Cis-regulatory Element Frequency Modules and their Phase Transition across Hominidae -- Improving tip-dating and rooting a viral phylogeny by modeling evolutionary rate as a function of time.
520
$a
Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology.
650
0
$a
Bioinformatics
$x
Statistical methods.
$3
590632
700
1
$a
Lu, Henry Horng-Shing.
$3
3338844
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Springer handbooks of computational statistics.
$3
1566168
856
4 0
$u
https://doi.org/10.1007/978-3-662-65902-1
950
$a
Mathematics and Statistics (SpringerNature-11649)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9447944
電子資源
11.線上閱覽_V
電子書
EB QH324.2
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入