Results 1 to 10 of about 3,033,465 (179)

Microarray Analysis and Barcoded Pyrosequencing Provide Consistent Microbial Profiles Depending on the Source of Human Intestinal Samples [PDF]

Applied and Environmental Microbiology, 2011
Large-scale and in-depth characterization of the intestinal microbiota necessitates application of high-throughput 16S rRNA gene-based technologies, such as barcoded pyrosequencing and phylogenetic microarray analysis.
B. van den Bogert, W. D. de Vos, E. Zoetendal, M. Kleerebezem   +3 more
semanticscholar   +2 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

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

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

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

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

Biotechnology, 2015
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.
Khalid Raza
semanticscholar   +1 more source

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

MAPPI-DAT : data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform [PDF]

, 2017
Protein-protein interaction (PPI) studies have dramatically expanded our knowledge about cellular behaviour and development in different conditions. A multitude of high-throughput PPI techniques have been developed to achieve proteome-scale coverage for ...
De Puysseleyr, Veronic, Degroeve, Sven, Gupta, Surya, Lemmens, Irma, Lievens, Sam, Maddelein, Davy, Martens, Lennart, Tavernier, Jan, Van Der Heyden, José   +8 more
core   +1 more source