Exploiting scientific workflows for large-scale gene expression data analysis

2009 24th International Symposium on Computer and Information Sciences ◽

10.1109/iscis.2009.5291850 ◽

2009 ◽

Author(s):

Alessandro De Stasio ◽

Marcus Ertelt ◽

Wolfgang Kemmner ◽

Ulf Leser ◽

Michele Ceccarelli

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Gene Expression Data ◽

Large Scale ◽

Scientific Workflows ◽

Expression Data ◽

Gene Expression Data Analysis

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Latent network-based representations for large-scale gene expression data analysis

BMC Bioinformatics ◽

10.1186/s12859-018-2481-y ◽

2019 ◽

Vol 19 (S13) ◽

Author(s):

Wajdi Dhifli ◽

Julia Puig ◽

Aurélien Dispot ◽

Mohamed Elati

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Gene Expression Data ◽

Large Scale ◽

Expression Data ◽

Gene Expression Data Analysis

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Finding regulatory modules through large-scale gene-expression data analysis

Bioinformatics ◽

10.1093/bioinformatics/bti096 ◽

2004 ◽

Vol 21 (7) ◽

pp. 1172-1179 ◽

Author(s):

M. Kloster ◽

C. Tang ◽

N.S. Wingreen

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Gene Expression Data ◽

Large Scale ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Regulatory Modules

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SCANPY: large-scale single-cell gene expression data analysis

Genome Biology ◽

10.1186/s13059-017-1382-0 ◽

2018 ◽

Vol 19 (1) ◽

Author(s):

F. Alexander Wolf ◽

Philipp Angerer ◽

Fabian J. Theis

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Single Cell ◽

Gene Expression Data ◽

Large Scale ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Cell Gene Expression ◽

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Chapter Introduction to Large-Scale Gene Expression Data Analysis

Microarray Innovations ◽

10.1201/9781420094510-8 ◽

2009 ◽

pp. 33-46

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Gene Expression Data ◽

Large Scale ◽

Expression Data ◽

Gene Expression Data Analysis

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Introduction to Large-Scale Gene Expression Data Analysis

Drug Discovery Series - Microarray Innovations ◽

10.1201/9781420094510-c2 ◽

2009 ◽

pp. 11-24

Author(s):

Anbarasu Lourdusamy ◽

Massimo Ubaldi ◽

Laura Soverchia ◽

Gary Hardiman ◽

Roberto Ciccocioppo

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Gene Expression Data ◽

Large Scale ◽

Expression Data ◽

Gene Expression Data Analysis

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Feature Selection for Gene Expression Data Analysis – A Review

International Journal of Psychosocial Rehabilitation ◽

10.37200/ijpr/v24i5/pr2020695 ◽

2020 ◽

Vol 24 (5) ◽

pp. 6955-6964

Author(s):

Dr. Prema R

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Data Analysis ◽

Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis ◽

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Targeted unsupervised features learning for gene expression data analysis to predict cancer stage

Proceedings of the Tenth International Conference on Computational Systems-Biology and Bioinformatics ◽

10.1145/3365953.3365958 ◽

2019 ◽

Author(s):

Imene Zenbout ◽

Abdelkrim Bouramoul ◽

Souham Meshoul

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Gene Expression Data ◽

Cancer Stage ◽

Expression Data ◽

Gene Expression Data Analysis

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A gene ontology-based microarray gene expression data analysis for diagnosing pseudomyxoma peritonei

2014 IEEE 7th International Workshop on Computational Intelligence and Applications (IWCIA) ◽

10.1109/iwcia.2014.6988083 ◽

2014 ◽

Author(s):

Hideki Katagiri ◽

Takeshi Uno ◽

Kosuke Kato ◽

Hiroaki Kuwano ◽

Kohei Sasaki ◽

...

Keyword(s):

Gene Expression ◽

Gene Ontology ◽

Data Analysis ◽

Gene Expression Data ◽

Pseudomyxoma Peritonei ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Microarray Gene Expression ◽

Microarray Gene

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Pattern-Based Biclustering with Constraints for Gene Expression Data Analysis

Progress in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-23485-4_34 ◽

2015 ◽

pp. 326-339 ◽

Author(s):

Rui Henriques ◽

Sara C. Madeira

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis

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On the Combination of Dissimilarities for Gene Expression Data Analysis

Lecture Notes in Computer Science - Artificial Neural Networks – ICANN 2007 ◽

10.1007/978-3-540-74695-9_12 ◽

2007 ◽

pp. 110-119

Author(s):

Ángela Blanco ◽

Manuel Martín-Merino ◽

Javier De Las Rivas

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis

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