Results 11 to 20 of about 2,692,793 (237)

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 analysis of glucocorticoid-induced apoptosis by a gene microarray technique [PDF]

Nature Genetics, 2001
Gene expression analysis of glucocorticoid-induced apoptosis by a gene microarray ...
Huiling He, Michael H. Malone, Steven Ostrowski, Clark Distelhorst   +3 more
openalex   +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

Simcluster: clustering enumeration gene expression data on the simplex space [PDF]

BMC Bioinformatics, 2007
Background Transcript enumeration methods such as SAGE, MPSS, and sequencing-by-synthesis EST "digital northern", are important high-throughput techniques for digital gene expression measurement.
Brentani Helena, de B Pereira Carlos A, Varuzza Leonardo, Vêncio Ricardo ZN, Shmulevich Ilya   +4 more
doaj   +9 more sources

Topographical Imaging Technique for Qualitative Analysis of Microarray Data [PDF]

BioTechniques, 2006
James Ch. Davis, Anna‐Lisa Paul, Robert J. Ferl, Mark W. Meisel   +3 more
openalex   +4 more sources

Using an attribute estimation technique for the analysis of microarray data

, 2003
We present an original method for the analysis of microarray data based on an attribute estimation technique. We show, in the context of radioactive environmental stress, that this method can be used to detect a small number of genes that, highly probably, are involved in the response to this stress in yeast.
Jérémie Mary, Guillaume Mercier, Jean‐Paul Comet, Antoine Cornuéjols, Christine Froidevaux, Marie Dutreix   +5 more
openalex   +3 more sources

Computational Intelligence Techniques for Classification in Microarray Analysis [PDF]

, 2010
During the last few years there has been a growing need for using computational intelligence techniques to analyze microarray data. The aim of the system presented in this study is to provide innovative decision support techniques for classifying data from microarrays and for extracting knowledge about the classification process.
Juan F. De Paz, Javier Bajo, Sara Rodrı́guez, Juan M. Corchado   +3 more
openalex   +3 more sources

Gene Ranking Techniques via Attribute Evaluation Algorithms for DNA Microarray Analysis [PDF]

International Conference on Aerospace Sciences and Aviation Technology, 2011
M. Al Senousy, H. El-Deeb, Kh. Badran, Ibrahim Ali Al-Khlil   +3 more
openalex   +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