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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ³í¹®Áö C : ÄÄÇ»ÆÃÀÇ ½ÇÁ¦

Á¤º¸°úÇÐȸ ³í¹®Áö C : ÄÄÇ»ÆÃÀÇ ½ÇÁ¦

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) NMF±â¹Ý ÇÏÀÌÆÛ±×·¡ÇÁ ±¸Á¶ ºÐ¼®À» ÅëÇÑ Àü¸³¼± ¾Ï ƯÀÌÀû À¯ÀüÀÚ ¸ðµâ Ž»ö
¿µ¹®Á¦¸ñ(English Title) Identifying Prostate Cancer-specific Gene Modules via Hypergraph Analysis based on NMF
ÀúÀÚ(Author) ±è¼öÁø   ÇÏÁ¤¿ì   À庴Ź   Soo-Jin Kim   Jung-Woo Ha   Byoung-Tak Zhang  
¿ø¹®¼ö·Ïó(Citation) VOL 18 NO. 05 PP. 0414 ~ 0418 (2012. 05)
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(Korean Abstract)
¾Ï ¹ß»ý ¸ÞÄ¿´ÏÁòÀ» Æ÷ÇÔÇÏ¿© »ýü ³»¿¡¼­ ¹ß»ýÇÏ´Â ´ëºÎºÐÀÇ »ý¹°ÇÐÀû Á¶Àý ÇÁ·Î¼¼½º´Â ¿©·¯ ´Ù¾çÇÑ ¿ä¼ÒµéÀÌ ¼­·Î ¿µÇâÀ» ÁÖ°í¹ÞÀ¸¸ç ¹ß»ýÇÏ´Â º¹ÀâÇÑ ¹®Á¦ÀÌ´Ù. ÀÌ¿¡ ÃÖ±Ù À¯Àüü ¼öÁØ¿¡¼­ À¯ÀüÀÚ°£ ¸ðµâ ´ÜÀ§·Î °íÂ÷Àû »óÈ£ °ü°è¸¦ ºÐ¼®ÇÏ´Â ¿¬±¸ÀÇ Á߿伺ÀÌ ºÎ°¢µÇ°í ÀÖ´Ù. º» ³í¹®¿¡¼­´Â ´Ù¼ö ÀÎÀڵ鰣ÀÇ °íÂ÷¿øÀû ¿¬°ü°ü°è ºÐ¼®ÀÌ °¡´ÉÇÑ ÇÏÀÌÆÛ±×·¡ÇÁ(hypergraph) ¸ðµ¨À» ÀÌ¿ëÇÏ¿© À¯ÀüÀÚµé °£ÀÇ ¿¬°ü°ü°è¸¦ ÇнÀÇÑ ÈÄ, ÇнÀµÈ ÇÏÀÌÆÛ±×·¡ÇÁÀÇ ±¸Á¶¸¦ NMF(non-negative matrix factorization) ±â¹ýÀ» ±â¹ÝÀ¸·Î ºÐ¼®ÇÏ¿© Çù·ÂÀûÀ¸·Î ƯÁ¤ ¾Ï °ü·Ã Á¶Àý ¸ÞÄ¿´ÏÁò¿¡ Âü¿©ÇÏ´Â Áß¿ä À¯ÀüÀÚ ¸ðµâÀ» Ž»öÇÑ´Ù. ½ÇÇè °á°ú·Î ´Ù¸¥ µÎ À¯ÇüÀÇ Àü¸³¼± ¾Ï Á¶Á÷ miRNA(microRNA)¿Í mRNA ¹ßÇö µ¥ÀÌÅ͸¦ ÀÌ¿ëÇÏ¿© ±â´ÉÀûÀ¸·Î »ó°ü°ü°è°¡ Á¸ÀçÇÏ´Â °ø°Ý¼º Àü¸³¼± ¾ÏÀÇ Æ¯ÀÌÀû miRNA-mRNA Á¶Àý ¸ðµâÀ» Ž»öÇÑ´Ù. ¹ß°ßÇÑ ¸ðµâÀÇ »ý¹°ÇÐÀû À¯ÀǼºÀº À¯ÀüÀÚ ¿ÂÅç·ÎÁö ºÐ¼®°ú °ü·Ã ³í¹® °Ë»öÀ» ÅëÇØ °ËÁõÇÏ¿© Á¦½ÃÇÑ´Ù.
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(English Abstract)
Most of the biological processes including cancer regulatory mechanisms are complex problems in the living system because they are influenced by various interactions among many factors. Recently, the importance of analyzing higher-order relationships based on modules between genes has been emphasized in the genome-wide level. In this paper, we propose a classification model based on associations between genes using the hypergraphs which enables to represent higher-order relationships among many factors. Also, we analyze the structure of learned hypergraphs based on non-negative matrix factorization (NMF) method to identify significant gene modules underlying the specific cancer mechanism. As the result of experiments, we evaluate the proposed method on miRNAs (microRNAs) and mRNAs expression profile dataset with two types of prostate cancer, and show the discovery of functional miRNA-mRNA regulatory modules related to aggressive prostate cancers. The biological significance of the identified miRNA-mRNA modules is confirmed by gene ontology analysis and literature reviews.
Å°¿öµå(Keyword) ÇÏÀÌÆÛ±×·¡ÇÁ   miRNA-mRNA ¸ðµâ   Hypergraph   NMF   miRNA-mRNA module  
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