Results 1 to 10 of about 186,601 (273)

Association Analysis Techniques for Discovering Functional Modules from Microarray Data [PDF]

Nature Precedings, 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, Gowtham Atluri, Michael Steinbach, Vipin Kumar   +3 more
core   +4 more sources

Integrating image processing with deep convolutional neural networks for gene selection and cancer classification using microarray data [PDF]

Scientific Reports
Microarray technology has revolutionized cancer genomics by enabling the simultaneous analysis of thousands of gene expressions, providing critical insights into gene regulation and disease mechanisms.
Yuanyuan Zhang, Jing Chen, Chong Zhang
doaj   +2 more sources

Application of chromosome microarray analysis and karyotyping in fetal cardiac abnormalities [PDF]

Frontiers in Genetics
ObjectiveChromosome microarray analysis (CMA) and karyotyping are two important genetic testing techniques used in prenatal diagnosis. This study aims to evaluate the value of chromosome microarray analysis and karyotyping in the diagnosis of fetal ...
Yun Guo, Xiaoqin Xin, Linju Zhou, Jungao Huang   +3 more
doaj   +2 more sources

Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications [PDF]

Frontiers in Big Data
This review systematically summarizes recent advances in microarray feature selection techniques and their applications in biomedical research. It addresses the challenges posed by the high dimensionality and noise of microarray data, aiming to integrate
Fangling Wang, Azlan Mohd Zain, Yanjie Ren, Mahadi Bahari, Azurah A. Samah, Zuraini Binti Ali Shah, Norfadzlan Bin Yusup, Rozita Abdul Jalil, Azizah Mohamad, Nurulhuda Firdaus Mohd Azmi   +9 more
doaj   +2 more sources

Microarray Technique, Analysis, and Applications in Dermatology [PDF]

Journal of Investigative Dermatology, 2013
The Human Genome Project, completed in 2003, identified the sequence of the approximately 25,000 genes that comprise the human genome. Knowledge of the structure of the human genome opened the doors to studying the actual function of specific genes, which is necessary to understanding health and disease.
Villaseñor-Park, Jennifer, Ortega-Loayza, Alex G.   +1 more
openaire   +2 more sources

Deep Learning-Based Prediction of Alzheimer’s Disease Using Microarray Gene Expression Data

Biomedicines, 2023
Alzheimer’s disease is a genetically complex disorder, and microarray technology provides valuable insights into it. However, the high dimensionality of microarray datasets and small sample sizes pose challenges. Gene selection techniques have emerged as
Mahmoud M. Abdelwahab, Khamis A. Al-Karawi, Hatem E. Semary   +2 more
doaj   +1 more source

Adaptive techniques for microarray image analysis with related quality assessment [PDF]

Journal of Electronic Imaging, 2007
We propose novel techniques for microarray image analysis. In particular, we describe an overall pipeline able to solve the most common problems of microarray image analysis. We pro- pose the microarray image rotation algorithm (MIRA) and the statis- tical gridding pipeline (SGRIP) as two advanced modules devoted to restoring the original microarray ...
BATTIATO, SEBASTIANO, G. DI BLASI, FARINELLA, GIOVANNI MARIA, GALLO, Giovanni, G. C. GUARNERA   +4 more
openaire   +2 more sources

Identification of humoral immune responses in protein microarrays using DNA microarray data analysis techniques [PDF]

Bioinformatics, 2006
Abstract Motivation: We present a study of antigen expression signals from a newly developed high-throughput protein microarray technique. These signals are a measure of antibody–antigen binding activity and provide a basis for understanding humoral immune responses to various infectious agents and supporting vaccine and diagnostic ...
Sundaresh, Suman, Doolan, Denise L., Hirst, Siddiqua, Mu, Yunxiang, Unal, Berkay, Davies, D. Huw, Felgner, Philip L., Baldi, Pierre   +7 more
openaire   +3 more sources

Paradigm of tunable clustering using binarization of consensus partition matrices (Bi-CoPaM) for gene discovery [PDF]

, 2013
Copyright @ 2013 Abu-Jamous et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and ...
A Strehl, A Weingessel, Asoke K. Nandi, B Abu-Jamous, B Abu-Jamous, B Fischer, Basel Abu-Jamous, D Greene, D Liu, D Stuart, David J. Roberts, E Dimitriadou, E Dimitriadou, FD Gibbons, HG Ayad, JM Pena, K Tumer, KY Yeung, LP Zhao, MBH Rhouma, N Slonim, O Nwamadi, PT Spellman, R Avogadri, R BabusÏka, R Baumgartner, R Fa, R Nilsson, RJ Cho, Rui Fa, S Dudoit, S Haykin, S Vega-Pons, S Vega-Pons, SA Salem, Shyamal D. Peddada, T Pramila, TE Kohonen, X Zhou, Z Yu   +39 more
core   +10 more sources

Geometric interpretation of gene coexpression network analysis.

PLoS Computational Biology, 2008
THE MERGING OF NETWORK THEORY AND MICROARRAY DATA ANALYSIS TECHNIQUES HAS SPAWNED A NEW FIELD: gene coexpression network analysis. While network methods are increasingly used in biology, the network vocabulary of computational biologists tends to be far ...
Steve Horvath, Jun Dong
doaj   +1 more source