Library Automation and Digital Archive
LONTAR
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

Find Similar Add to Favorite

Call Number SEM-317
Collection Type Indeks Artikel prosiding/Sem
Title Analysis of gen expression and microarray data on pattern recogniton techniques: review
Author Ermatita, Sri Hartati;
Publisher Proceedings of international conference on rural information and communication technology 2009, ITB 17-18 Juni 2009
Subject
Location
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
SEM-317 TERSEDIA
Tidak ada review pada koleksi ini: 42742
Analysis of genes expression ca be done with the investigation of a particular microarray data for the description of a gen. This is done to identify what genes that were active in the human body, if wearing a particular treatment. This activity is useful to predict the occurence of a disease or reaction to medicaions. This information is a important consideration for medical experts to determine the incidence of disease mechanism, and determine which theraphy is right for the patient. Various studies and research on the microarray data and genes expression has been conducted to identify the genes is. Genes is identiffied with the introduction of patterns (pattern recognition). Introduction of various technical pattern (pattern recognition) analysis on the expression of genes has been performed. Introduction of techniques such as the patterns in data mining techniques. PCA k-means clustering (Partitioning). Bayesian belif networks (BBN), Hierarchical clustering mixture models and EM, Gene shaving, hidden Markov Model. GA/KNN, Boolean network, Novel algorithm. Each has experienced the development of techniques by the researches in the field, to produce a good performance tecniques.