Results 41 to 50 of about 557,537 (198)
Association Analysis Techniques for Discovering Functional Modules from Microarray Data [PDF]
, 2008 An application of great interest in microarray data analysis is the identification of a group of genes that show very similar patterns of expression in a data set, and are expected to represent groups of genes that perform common/similar functions, also ...
Gaurav Pandey +3 more
core +2 more sources
Implementation of CRNN Method for Lung Cancer Detection based on Microarray Data
JOIV: International Journal on Informatics Visualization, 2023 Lung Cancer is one of the cancer types with the most significant mortality rate, mainly because of the disease's slow detection. Therefore, the early identification of this disease is crucial.
Azka Khoirunnisa +2 more
doaj +1 more source
, 2006 JPEG and Excel data files for six siRNAs designed to silence Renilla luciferase transfected in Hela cells. For experimental details please see associated manuscript to be published in Cell Biology Education, 2006. A smaller data set and practice exercise
Kuldell, Natalie +1 more
core
Acta Societatis Botanicorum Poloniae, 2016 The promoter, 5' UTR, and 34-nt 5' fragments of protein encoding region of the Salvia miltiorrhiza copalyl diphosphate synthase gene were cloned and characterized. No tandem repeats, miRNA binding sites, or CpNpG islands were observed in the promoter, 5'
Piotr Szymczyk +5 more
doaj +1 more source
Assessment of SVM Reliability for Microarray Data Analysis [PDF]
, 2004 The goal of our research is to provide techniques that can assess and validate the results of SVM-based analysis of microarray data. We present preliminary results of the effect of mislabeled training samples.
Blanzieri, Enrico +2 more
core
Multi-test Decision Tree and its Application to Microarray Data Classification [PDF]
, 2014 Objective: The desirable property of tools used to investigate biological data is easy to understand models and predictive decisions. Decision trees are particularly promising in this regard due to their comprehensible nature that resembles the ...
Armstrong +46 more
core +1 more source
Identification of Interaction Patterns and Classification with Applications to Microarray Data [PDF]
, 2004 Emerging patterns represent a class of interaction structures which has been recently proposed as a tool in data mining. In this paper, a new and more general definition refering to underlying probabilities is proposed.
Boulesteix, Anne-Laure, Tutz, Gerhard
core +4 more sources
Diabetes, Metabolic Syndrome and Obesity, 2019 Jintao Hu,1,* Huachun Yin,1,2,* Bo Li,2 Hui Yang1 1Department of Neurosurgery, Xinqiao Hospital, The Army Medical University, Chongqing, People’s Republic of China; 2College of Life Sciences, Chongqing Normal University, Chongqing, People’s ...
Hu J, Yin H, Li B, Yang H
doaj
Feature selection for microarray gene expression data using simulated annealing guided by the multivariate joint entropy [PDF]
, 2013 In this work a new way to calculate the multivariate joint entropy is presented. This measure is the basis for a fast information-theoretic based evaluation of gene relevance in a Microarray Gene Expression data context.
Belanche Muñoz, Luis Antonio +1 more
core +5 more sources
AMADA: analysis of microarray data [PDF]
Bioinformatics, 2001 Abstract Summary: AMADA is a Windows program for identifying co-expressed genes from microarray data. It performs data transformation, principal component analysis, a variety of cluster analyses and extensive graphic functions for visualizing expression profiles.
Xie, Z, Xia, X
openaire +4 more sources