Genomics Inform Search

CLOSE


Search

  • HOME
  • Search
Integrative Analysis of Microarray Data with Gene Ontology to Select Perturbed Molecular Functions using Gene Ontology Functional Code.
Changsik Kim, Jiwon Choi, Sukjoon Yoon
Genomics Inform. 2009;7(2):122-130.
PDFPDF    
Classification of Genes Based on Age-Related Differential Expression in Breast Cancer
Gunhee Lee, Minho Lee
Genomics Inform. 2017;15(4):156-161.   Published online December 29, 2017
Full textFull text    PubreaderPubReader    ePubePub    PDFPDF    PDFSupplementary Material
Microarray Data Analysis of Perturbed Pathways in Breast Cancer Tissues.
Changsik Kim, Jiwon Choi, Sukjoon Yoon
Genomics Inform. 2008;6(4):210-222.
PDFPDF    
Generation and analysis of whole-genome sequencing data in human mammary epithelial cells
Jong-Lyul Park, Jae-Yoon Kim, Seon-Young Kim, Yong Sun Lee
Genomics Inform. 2023;21(1):e11.   Published online March 31, 2023
Full textFull text    PubreaderPubReader    ePubePub    PDFPDF    
Roles of Oncogenic Long Non-coding RNAs in Cancer Development
Hyunhee Do, Wanyeon Kim
Genomics Inform. 2018;16(4):e18.   Published online December 28, 2018
Full textFull text    PubreaderPubReader    ePubePub    PDFPDF    
The genomic landscape associated with resistance to aromatase inhibitors in breast cancer
Kirithika Sadasivam, Jeevitha Priya Manoharan, Hema Palanisamy, Subramanian Vidyalakshmi
Genomics Inform. 2023;21(2):e20.   Published online June 30, 2023
Full textFull text    PubreaderPubReader    ePubePub    PDFPDF    PDFSupplementary Material
The nature of triple-negative breast cancer classification and antitumoral strategies
Songmi Kim, Dong Hee Kim, Wooseok Lee, Yong-Moon Lee, Song-Yi Choi, Kyudong Han
Genomics Inform. 2020;18(4):e35.   Published online December 22, 2020
Full textFull text    PubreaderPubReader    ePubePub    PDFPDF    
  • SCImago Journal & Country Rank


ABOUT
ARTICLE CATEGORY

Browse all articles >

BROWSE ARTICLES
FOR CONTRIBUTORS
Editorial Office
Room No. 806, 193 Mallijae-ro, Jung-gu, Seoul 04501, Korea
Tel: +82-2-558-9394    Fax: +82-2-558-9434    E-mail: kogo3@kogo.or.kr                

Copyright © 2024 by Korea Genome Organization.

Developed in M2PI

Close layer
prev next