GSM1518584[Accession] - GEO DataSets

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Items: 3

Select item 2000620211.

Prediction of prognosis for small cell lung cancer based on genome-wide methylation analyses with surgical materials and robust clustering methods

(Submitter supplied) Methylation is closely involved in the development of various carcinomas. However, little datasets are available for small cell lung carcinoma (SCLC) due to the scarcity of fresh tumor samples. The aim of this study is to investigate the comprehensive genome-wide methylation profile of SCLC to predict the prognosis after surgical treatment. We investigated the high DNA methylated and low gene expression sites using 25 SCLC tumor tissues. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL13607
25 Samples

Download data: TXT

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Accession:: GSE62021

ID:: 200062021

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 1000136072.

Agilent-028004 SurePrint G3 Human GE 8x60K Microarray (Feature Number version)

(Submitter supplied) SurePrint G3 Human GE 8x60K Microarray Arrays of this design have barcodes that begin with 16028004 or 2528004. Orientation: Features are numbered numbered Left-to-Right, Top-to-Bottom as scanned by an Agilent scanner (barcode on the left, DNA on the back surface, scanned through the glass), matching the FeatureNum output from Agilent's Feature Extraction software. The ID column represents the Agilent Feature Extraction feature number. more...