Results 11 to 20 of about 22,889,079 (421)
Extreme Value Distribution Based Gene Selection Criteria for Discriminant Microarray Data Analysis Using Logistic Regression [PDF]
Journal of Computational Biology, 11(2-3):215-226 (2004), 2004 One important issue commonly encountered in the analysis of microarray data is to decide which and how many genes should be selected for further studies.
Baldi +5 more
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Elephant Search with Deep Learning for Microarray Data Analysis [PDF]
Journal of King Saud University-Computer and Information Sciences,
Volume 32, Issue 8, Pages 940-948, 2020,Publisher Elsevier, 2017 Even though there is a plethora of research in Microarray gene expression data analysis, still, it poses challenges for researchers to effectively and efficiently analyze the large yet complex expression of genes.
Panda, Mrutyunjaya
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Genomic Microarray Analysis [PDF]
, 2015 Microarrays utilize classical hybridization techniques to measure the levels of expression of genomic sequences. Advances in microarray fabrication using robotic technology and bioinformatics, now means entire genomes can be interrogated with a high degree of sensitivity, specificity and throughput.
Hamlet, S, Petcu, E, Ivanovski, S
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Transcriptional profiling of mouse cavernous pericytes under high-glucose conditions: Implications for diabetic angiopathy [PDF]
Investigative and Clinical Urology, 2021 Purpose: Penile erection requires integrative interactions between vascular endothelial cells, pericytes, smooth muscle cells, and autonomic nerves. Furthermore, the importance of the role played by pericytes in the pathogenesis of angiopathy has only ...
Guo Nan Yin +8 more
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Identification of prognostic risk factors for pancreatic cancer using bioinformatics analysis [PDF]
PeerJ, 2020 Background Pancreatic cancer is one of the most common malignant cancers worldwide. Currently, the pathogenesis of pancreatic cancer remains unclear; thus, it is necessary to explore its precise molecular mechanisms.
Dandan Jin +12 more
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Screening and Identification of Muscle-Specific Candidate Genes via Mouse Microarray Data Analysis
Frontiers in Veterinary Science, 2021 Muscle tissue is involved with every stage of life activities and has roles in biological processes. For example, the blood circulation system needs the heart muscle to transport blood to all parts, and the movement cannot be separated from the ...
Sayed Haidar Abbas Raza +12 more
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Frontiers in Oncology, 2021 Circular RNAs (circRNAs) and long noncoding RNAs (lncRNAs) have been considered as biomarkers or regulators in many diseases. However, the exact role of circRNA- or lncRNA-mediated competing endogenous RNA (ceRNA) networks in the modulation of depression
Ting Zhou +13 more
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Microarray Analysis in Glioblastomas [PDF]
, 2015 Microarray analysis in glioblastomas is done using either cell lines or patient samples as starting material. A survey of the current literature points to transcript-based microarrays and immunohistochemistry (IHC)-based tissue microarrays as being the preferred methods of choice in cancers of neurological origin. Microarray analysis may be carried out
Bhawe, Kaumudi M, Aghi, Manish K
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Microarray expression technology in clinical research of non-Hodgkin lymphoma [PDF]
Archive of Oncology, 2007 Nowadays, in genomocentric era accelerated research of the human genome coupled with advances is enabling the comprehensive molecular profiling of human tissue.
Baltić Vladimir, Baltić Milan
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The Impact of Photobleaching on Microarray Analysis [PDF]
Biology, 2015 DNA-Microarrays have become a potent technology for high-throughput analysis of genetic regulation. However, the wide dynamic range of signal intensities of fluorophore-based microarrays exceeds the dynamic range of a single array scan by far, thus limiting the key benefit of microarray technology: parallelization.
Marcel Von der Haar +5 more
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