Results 111 to 120 of about 188,901 (238)

Multi-modal optical microscopy image analysis and matching techniques for spatially encoded bead-based microarrays [PDF]

, 2017
Abhik Datta
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Enhancement of Classifier Performance with Adam and RanAdam Hyper-Parameter Tuning for Lung Cancer Detection from Microarray Data—In Pursuit of Precision

Bioengineering
Microarray gene expression analysis is a powerful technique used in cancer classification and research to identify and understand gene expression patterns that can differentiate between different cancer types, subtypes, and stages.
Karthika M S, Harikumar Rajaguru, Ajin R. Nair   +2 more
doaj   +1 more source

Towards the integration of computational systems biology and high-throughput data: supporting differential analysis of microarray gene expression data

Journal of Integrative Bioinformatics, 2008
The paradigmatic shift occurred in biology that led first to high-throughput experimental techniques and later to computational systems biology must be applied also to the analysis paradigm of the relation between local models and data to obtain an ...
Segata Nicola, Blanzieri Enrico, Priami Corrado   +2 more
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Unsupervised technique for robust target separation and analysis of DNA microarray spots through adaptive pixel clustering [PDF]

, 2002
Daniel Bozinov, Jörg Rahnenführer
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Clinical profile and cytogenetics of siblings with Jacobsen syndrome

Journal of Current Research in Scientific Medicine
The clinical care of patients has greatly benefited from the advancement of genetic testing. Over time, a gradual move toward a “genotype-first” strategy and growing use of genome-wide testing techniques such as chromosomal microarray analysis and next ...
Abinaya Gunalan, Priya Jose, Allen David, Peter Prasanth Kumar Kommu   +3 more
doaj   +1 more source

Elephant Search with Deep Learning for Microarray Data Analysis

, 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
core  

Assessment of data processing to improve reliability of microarray experiments using genomic DNA reference

BMC Genomics, 2008
Background Using genomic DNA as common reference in microarray experiments has recently been tested by different laboratories. Conflicting results have been reported with regard to the reliability of microarray results using this method.
Wu Liyou, Zhu Mengxia, Yang Yunfeng, Zhou Jizhong   +3 more
doaj   +1 more source

Exploring the role of endoplasmic reticulum stress in recurrent spontaneous abortion: Identification of diagnostic biomarkers and immune cell interactions

Heliyon
Dysregulated endoplasmic reticulum stress (ERS) is associated with recurrent spontaneous abortion (RSA) and is involved in the mechanisms that govern immune balance and vascular regulation at the maternal-fetal interface.
Tao Tang, Jingyu Fu, Chong Zhang, Xue Wang, Haiming Cao, Lin Chen   +5 more
doaj   +1 more source

Immunohistopathological re‐evaluation of adenocarcinoma of the lung with mixed subtypes using a tissue microarray technique and hierarchical clustering analysis [PDF]

, 2007
Gehan Gamal, Takaaki Sano, Shinji Sakurai, Osamu Kawashima, Masayuki Sugano, Takashi Nakajima   +5 more
openalex   +1 more source

Identification of Potential Common Molecular Factors of Pancreatic Cancer and Diabetes Mellitus using Microarray Data Analysis Combined with Bioinformatics Techniques and Experimental Validation

, 2021
Sima Kalantari, Akram Pourshams, Raheleh Roudi, Hakimeh Zali, Mojgan Bandehpour, Abolfazl Kalantari, Reza Ghanbari, Alberto D’Angelo, Bahram Kazemi, Zahra Madjd   +9 more
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