Results 11 to 20 of about 568,857 (297)
Microarray data assembler [PDF]
Bioinformatics, 2003 Abstract Summary: Large volumes of microarray data are generated and deposited in public databases. Most of this data is in the form of tab-delimited text files or Excel spreadsheets. Combining data from several of these files to reanalyze these data sets is time consuming.
openaire +2 more sources
Frontiers in Endocrinology, 2021 Graves’ ophthalmopathy (GO) has become one of the most common orbital diseases. Although some evidences announced the potential mechanism of pathological changes in extraocular muscle and orbital adipose tissue, little is known about that in lacrimal ...
Wenling Tu +5 more
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TmaDB: a repository for tissue microarray data [PDF]
, 2005 Background: Tissue microarray (TMA) technology has been developed to facilitate large, genome-scale molecular pathology studies. This technique provides a high-throughput method for analyzing a large cohort of clinical specimens in a single experiment ...
Quirke, P, Sharma-Oates, A, Westhead, DR
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Journal of ICT, 2020 Missing values are a huge constraint in microarray technologies towards improving and identifying disease-causing genes. Estimating missing values is an undeniable scenario faced by field experts.
Shamini Raja Kumaran +2 more
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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 +8 more
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Analysing Microarray Data using the Multi-functional Immune Ontologiser
Journal of Integrative Bioinformatics, 2006 Gene expression microarrays are a prominent experimental tool in functional genomics allowing researchers to gain a deeper understanding of biological processes.
Khalid Sabah +4 more
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Prevalence and Patterns of Microarray Data Sharing [PDF]
, 2008 Sharing research data is a cornerstone of science. Although many tools and policies exist to encourage data sharing, the prevalence with which datasets are shared is not well understood. We report our preliminary results on patterns of sharing microarray
Heather A. Piwowar, Wendy W. Chapman
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PLS dimension reduction for classification of microarray data [PDF]
, 2004 PLS dimension reduction is known to give good prediction accuracy in the context of classification with high-dimensional microarray data. In this paper, PLS is compared with some of the best state-of-the-art classification methods.
Boulesteix, Anne-Laure
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Enhancing random forests performance in microarray data classification [PDF]
, 2013 Random forests are receiving increasing attention for classification of microarray datasets. We evaluate the effects of a feature selection process on the performance of a random forest classifier as well as on the choice of two critical parameters, i.e.
DESSI, NICOLETTA +2 more
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The Application of Bi-clustering and Bayesian Network for Gene Sets Network Construction in Breast Cancer Microarray Data [PDF]
Middle East Journal of Cancer, 2022 Background: Breast cancer is one of the most prevalent types of cancer in Iranian women and the second cause of death in women worldwide. Gene mutations are the key determinants of the disease; therefore, the genetic study of this disease is of paramount
Ahmad Sohrabi +2 more
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