Methods in Molecular Biology - Microarray Bioinformatics
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Published By Springer New York

9781493994410, 9781493994427
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Missing-Values Imputation Algorithms for Microarray Gene Expression Data

2019 ◽  
pp. 255-266 ◽  
Author(s):  
Kohbalan Moorthy ◽  
Aws Naser Jaber ◽  
Mohd Arfian Ismail ◽  
Ferda Ernawan ◽  
Mohd Saberi Mohamad ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Data ◽  
Missing Values ◽  
Microarray Gene Expression Data ◽  
Expression Data ◽  
Microarray Gene Expression ◽  
Microarray Gene

A Review of Microarray Datasets: Where to Find Them and Specific Characteristics

2019 ◽  
pp. 65-85
Author(s):  
Amparo Alonso-Betanzos ◽  
Verónica Bolón-Canedo ◽  
Laura Morán-Fernández ◽  
Noelia Sánchez-Maroño
Keyword(s):  
Microarray Datasets

Cluster Analysis of Microarray Data

2019 ◽  
pp. 153-183
Author(s):  
Manuel Franco ◽  
Juana-María Vivo
Keyword(s):  
Cluster Analysis ◽  
Microarray Data

Statistical Analysis of Microarray Data

2019 ◽  
pp. 87-121 ◽  
Author(s):  
Ricardo Gonzalo Sanz ◽  
Alex Sánchez-Pla
Keyword(s):  
Statistical Analysis ◽  
Microarray Data

Data Warehousing with TargetMine for Omics Data Analysis

2019 ◽  
pp. 35-64 ◽  
Author(s):  
Yi-An Chen ◽  
Lokesh P. Tripathi ◽  
Kenji Mizuguchi
Keyword(s):  
Data Analysis ◽  
Data Warehousing ◽  
Omics Data ◽  
Omics Data Analysis

HPC Tools to Deal with Microarray Data

2019 ◽  
pp. 227-243
Author(s):  
Jorge González-Domínguez ◽  
Roberto R. Expósito
Keyword(s):  
Microarray Data

Challenges and Future Trends for Microarray Analysis

2019 ◽  
pp. 283-293 ◽  
Author(s):  
Verónica Bolón-Canedo ◽  
Amparo Alonso-Betanzos ◽  
Ignacio López-de-Ullibarri ◽  
Ricardo Cao
Keyword(s):  
Microarray Analysis ◽  
Future Trends
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