Results 51 to 60 of about 557,537 (198)
Simple empirical models of classifying patients from microarray data
Kuwait Journal of Science, 2019 There have been tremendous advances in bioinformatics in recent years. One of these is the use of microarrays for collecting Big Data. This paper reports on the work carried out by the author in devising models to classify patients by conducting ...
Alan Oxley
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EURASIP Journal on Advances in Signal Processing, 2004 This paper focuses on the stability-based approach for estimating the number of clusters in microarray data. The cluster stability approach amounts to performing clustering successively over random subsets of the available data and evaluating an index ...
Giurcăneanu Ciprian Doru +1 more
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BarekengOvarian cancer can be identified from microarray data using machine learning. Many studies only focus on improving the machine learning classification algorithms to achieve higher performance.
Ni Kadek Emik Sapitri +2 more
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maigesPack: A Computational Environment for Microarray Data Analysis [PDF]
, 2015 Microarray technology is still an important way to assess gene expression in molecular biology, mainly because it measures expression profiles for thousands of genes simultaneously, what makes this technology a good option for some studies focused on ...
Esteves, Gustavo H., Hirata Jr, Roberto
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DiagnosticsBackground/Objectives: Cancer classification using microarray datasets presents a significant challenge due to their extremely high dimensionality. This complexity necessitates advanced optimization methods for effective gene selection.
Shahad Alkamli, Hala Alshamlan
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Reproducibility of microarray data: a further analysis of microarray quality control (MAQC) data
BMC Bioinformatics, 2007 Background Many researchers are concerned with the comparability and reliability of microarray gene expression data. Recent completion of the MicroArray Quality Control (MAQC) project provides a unique opportunity to assess reproducibility across ...
Lin Chien-Ju +4 more
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Security-oriented data grids for microarray expression profiles [PDF]
, 2007 Microarray experiments are one of the key ways in which gene activity can be identified and measured thereby shedding light and understanding for example on biological processes. The BBSRC funded Grid enabled Microarray Expression Profile Search (GEMEPS)
Bayliss, C., Jiang, J., Sinnott, R.O.
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From access and integration to mining of secure genomic data sets across the grid [PDF]
, 2007 The UK Department of Trade and Industry (DTI) funded BRIDGES project (Biomedical Research Informatics Delivered by Grid Enabled Services) has developed a Grid infrastructure to support cardiovascular research.
Sinnott, R.O.
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Frontiers in Big DataThis 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 +9 more
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Classification and prediction of dengue fever from microarray samples by LDA based on PPI network [PDF]
Network Biology, 2018 Modern Bioinformatics tools have a tremendous contribution in gene analysis, Protein-Protein Interaction (PPI) Network creation and Drug design. It's been a big challenge to pick out a small subset of informative data from a large microarray dataset and ...
Nahida Habib +2 more
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