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Multiple criteria optimization joint analyses of microarray experiments in lung cancer: from existing microarray data to new knowledge.

Camacho-Cáceres KI, Acevedo-Díaz JC, Pérez-Marty LM, Ortiz M, Irizarry J, Cabrera-Ríos M, Isaza CE - Cancer Med (2015)

Bottom Line: These data, however, are stored and often times abandoned when new experimental technologies arrive.This work reexamines lung cancer microarray data with a novel multiple criteria optimization-based strategy aiming to detect highly differentially expressed genes.In the analysis, groups of samples from patients with distinct smoking habits (never smoker, current smoker) and different gender are contrasted to elicit sets of highly differentially expressed genes, several of which are already associated to lung cancer and other types of cancer.

View Article: PubMed Central - PubMed

Affiliation: Bio IE Lab, The Applied Optimization Group, Industrial Engineering Department, University of Puerto Rico, Mayaguez, Puerto Rico.

No MeSH data available.


Related in: MedlinePlus

Organization of database GDS3257. “C” indicates cancer and “H” indicates controls.
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cam4540-fig-0005: Organization of database GDS3257. “C” indicates cancer and “H” indicates controls.

Mentions: In this analysis, the database with GEO identifier GDS3257 was used. This database was first reported by Landi MT and collaborators 31. The database contains measures of relative expression for 22,283 genes from 107 samples: 49 control and 58 cancerous tissues. The age of the donors was between 44 and 79 years old. Samples were from never smokers, former smokers, and current smokers (See Fig. 5).


Multiple criteria optimization joint analyses of microarray experiments in lung cancer: from existing microarray data to new knowledge.

Camacho-Cáceres KI, Acevedo-Díaz JC, Pérez-Marty LM, Ortiz M, Irizarry J, Cabrera-Ríos M, Isaza CE - Cancer Med (2015)

Organization of database GDS3257. “C” indicates cancer and “H” indicates controls.
© Copyright Policy - creativeCommonsBy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4940807&req=5

cam4540-fig-0005: Organization of database GDS3257. “C” indicates cancer and “H” indicates controls.
Mentions: In this analysis, the database with GEO identifier GDS3257 was used. This database was first reported by Landi MT and collaborators 31. The database contains measures of relative expression for 22,283 genes from 107 samples: 49 control and 58 cancerous tissues. The age of the donors was between 44 and 79 years old. Samples were from never smokers, former smokers, and current smokers (See Fig. 5).

Bottom Line: These data, however, are stored and often times abandoned when new experimental technologies arrive.This work reexamines lung cancer microarray data with a novel multiple criteria optimization-based strategy aiming to detect highly differentially expressed genes.In the analysis, groups of samples from patients with distinct smoking habits (never smoker, current smoker) and different gender are contrasted to elicit sets of highly differentially expressed genes, several of which are already associated to lung cancer and other types of cancer.

View Article: PubMed Central - PubMed

Affiliation: Bio IE Lab, The Applied Optimization Group, Industrial Engineering Department, University of Puerto Rico, Mayaguez, Puerto Rico.

No MeSH data available.


Related in: MedlinePlus