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Analysis of Microarray Data using Artificial Intelligence Based Techniques [PDF]

Biotechnology, 2016
Microarray is one of the essential technologies used by the biologists to measure genome-wide expression levels of genes in a particular organism under some particular conditions or stimuli. As microarrays technologies have become more prevalent, the challenges of analyzing these data for getting better insight about biological processes have ...
Khalid Raza
semanticscholar   +7 more sources

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
semanticscholar   +4 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

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.
Alex G. Ortega-Loayza, Jennifer Villaseñor-Park   +1 more
openaire   +4 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

Gene expression levels assessed by oligonucleotide microarray analysis and quantitative real-time RT-PCR – how well do they correlate?

BMC Genomics, 2005
Background The use of microarray technology to assess gene expression levels is now widespread in biology. The validation of microarray results using independent mRNA quantitation techniques remains a desirable element of any microarray experiment.
Boag Joanne M, Freitas Joseph R, Terry Philippa A, Hoffmann Katrin, Beesley Alex H, Firth Martin J, Gottardo Nicholas G, Dallas Peter B, Cummings Aaron J, Kees Ursula R   +9 more
doaj   +2 more sources

Bioinformatics meets machine learning: identifying circulating biomarkers for vitiligo across blood and tissues [PDF]

Frontiers in Immunology
BackgroundVitiligo is a skin disorder characterized by the progressive loss of pigmentation in the skin and mucous membranes. The exact aetiology and pathogenesis of vitiligo remain incompletely understood.MethodsFirst, a microarray dataset of blood ...
Qiyu Wang, Jingwei Yuan, Jingwei Yuan, Mengdi Zhang, Haiyan Jia, Hongjie Lu, Yan Wu   +6 more
doaj   +2 more sources

Potentials and challenges of chromosomal microarray analysis in prenatal diagnosis

Frontiers in Genetics, 2022
Introduction: For decades, conventional karyotyping analysis has been the gold standard for detecting chromosomal abnormalities during prenatal diagnosis.
Xi-juan Liu, Shanling Liu, He Wang, Ting Hu   +3 more
semanticscholar   +1 more source

Deep learning techniques for cancer classification using microarray gene expression data

Frontiers in Physiology, 2022
Cancer is one of the top causes of death globally. Recently, microarray gene expression data has been used to aid in cancer’s effective and early detection.
Surbhi Gupta, Manoj Gupta, Mohammad Shabaz, Ashutosh Sharma   +3 more
semanticscholar   +1 more source

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