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Utilizing GEO Datasets for Hepatoma Cell Lines Analysis

Explore GEO datasets for hepatoma cell lines research, including GSE8351 and GSE3536, to compare samples and profiles efficiently. Use specific keywords and accession numbers for precise search results.

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Utilizing GEO Datasets for Hepatoma Cell Lines Analysis

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  1. How to use GEO Ka-Lok Ng Department of Bioinformatics Asia University Taiwan

  2. GEO datasets • Go to http://www.ncbi.nlm.nih.gov/ • Select ‘GEO datasets’ • Keyword : Hepatoma cell lines, homo

  3. GSE8351

  4. GSE, GPL, GSM GPL GSM

  5. GPL5452 – view full table

  6. 67 samples - mainly HCC samples

  7. Sample GSM206985

  8. G000002 0.065540587 • G000003 0.053925988 • G000004 0.031904168

  9. Search GEO datasets for “GSE3536” Title : Hepatoma cell lines vs. Universal control 3

  10. GSE3536

  11. GPL2913 – view full table

  12. 36 samples

  13. GSM81024 HepG2 vs. Universal control 5

  14. GEO Profiles - http://www.ncbi.nlm.nih.gov/ Step2:在此鍵入你所想收尋之關鍵字如: GATA6 (gene name ) AND "Homo Sapiens" [ORGN] AND GDS596 (Accession) Step1:選擇GEO Profiles

  15. Search result 可點進去看tissue分佈 查詢後，有些得出許多結果，依user所要的資料去選擇，用基因所對應的NM編號來選。

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