Microarray Core Detection by Geometric Restoration by Jimmy C. Azar, Christer Busch, Ingrid B. Carlbom

“…Furthermore, the algorithm is more efficient than existing methods based on the Hough transform for circle detection. The algorithm’s simplicity, accuracy, and computational efficiency allow for automated high-throughput analysis of microarray images.…”
Get full text

Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets by Dinesh Chellappan, Harikumar Rajaguru

Subjects: Get full text

High-throughput screening of monoclonal antibodies against carbapenemases using a multiplex protein microarray platform by Sascha D. Braun, Sascha D. Braun, Martin Reinicke, Martin Reinicke, Celia Diezel, Celia Diezel, Elke Müller, Elke Müller, Katrin Frankenfeld, Thomas Schumacher, Hugo Arends, Stefan Monecke, Stefan Monecke, Ralf Ehricht, Ralf Ehricht, Ralf Ehricht

“…The array allowed simultaneous mapping of cross-reactivity, a key advantage over conventional ELISA workflows.DiscussionOur findings confirm that protein-based microarrays offer a robust, efficient platform for antibody pair selection, reducing reagent use while accelerating assay development. …”
Get full text

Possibility of the Use of Public Microarray Database for Identifying Significant Genes Associated with Oral Squamous Cell Carcinoma by Ki-Yeol Kim, In-Ho Cha

“…Most studies include insufficient samples to apply statistical methods for detecting significant gene sets. This study combined two small microarray datasets from a public database and identified significant genes associated with the progress of oral squamous cell carcinoma. …”
Get full text

FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA by N. G. Zagoruiko, O. A. Kutnenko, I. A. Borisova, V. V. Dyubanov, D. A. Levanov, O. A. Zyranov

“…The high efficiency of the algorithm is illustrated by results of solving the task of disease recognition on a microarray dataset.…”
Get full text

Systematic spatial bias in DNA microarray hybridization is caused by probe spot position-dependent variability in lateral diffusion. by Doris Steger, David Berry, Susanne Haider, Matthias Horn, Michael Wagner, Roman Stocker, Alexander Loy

“…Numerical simulations reveal a strong influence of microarray well geometry on the spatial bias.<h4>Conclusions</h4>Reciprocal adjustment of the size of the microarray hybridization chamber to the area of surface-bound probes is a simple and effective measure to minimize or eliminate the diffusion-based bias, resulting in increased uniformity and accuracy of quantitative DNA microarray hybridization.…”
Get full text

A hybrid of an automated multi-filter with a spatial bound particle swarm optimization for gene selection and cancer classification by Anas Arram, Masri Ayob, Musatafa Abbas Abbood Albadr, Dheeb Albashish, Alaa Sulaiman

Subjects: Get full text

Photopolymerization as an innovative detection technique for low-density microarrays by Laura R. Kuck, Amber W. Taylor

“…One limitation that accounts in part for the scarcity of commercially available diagnostic microarrays is the expense associated with fluorescence detection. …”
Get full text

Oral Bacteria of Children with Turner Syndrome by Gülcan Ünsal, Nursen Topçuoğlu, Yeliz Güven, Şükran Poyrazoğlu, Güven Külekçi, Oya Aktören

“…Plaque index and gingival index levels were significantly higher in the Turner group and dft was significantly higher in the control group (p<0.05). As a result, microarray analysis, Prevotella intermedia, Fusobacterium nucleatum, Eikenella corrodens, Aggregatibacter actinomycetemcomitans, Actinomyces viscosus were detected at high levels in the Turner group (p<0.05).Conclusion:Besides dental and craniofacial anomalies, clinicians should be alert to the early diagnosis and treatment of periodontal problems in patients with TS.…”
Get full text

Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications by 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

Subjects: Get full text

A standardized fold change method for microarray differential expression analysis used to reveal genes involved in acute rejection in murine allograft models by Weichen Zhou, Yi Wang, Masayuki Fujino, Leming Shi, Li Jin, Xiao‐Kang Li, Jiucun Wang

“…We suggest that SFC can be utilized to stably and effectively detect differential gene expression and to explore microarray data in further studies.…”
Get full text

Identification and characterization of gene networks and key genes related to the high-yield production of milk in high-yield cows using meta-analysis of microarray data by Mahdi Rahmatzadeh, Reza Shokri-Gharelo, Morteza Derakhti-Dizaji, Asghar Bazzaz, Bizhan Mahmoudi

Get full text

CCD Standard Curve Fitting for Microarray Detection Base on Multi-Layer Perceptron by Zhenhua Gan, Dongyu He, Peishu Wu, Baoping Xiong, Nianyin Zeng, Fumin Zou, Feng Guo, Qin Bao, Fengyan Zhao

“…The gray-level of the fluorescent probe in detection image was obtained as the data set acquired by the microarray scanner at different exposure time. …”
Get full text

Evaluating methods for identifying and quantifying Streptococcus pneumoniae co-colonization using next-generation sequencing data by Jada Hackman, Martin L. Hibberd, Todd D. Swarthout, Jason Hinds, James Ashall, Carmen Sheppard, Gerry Tonkin-Hill, Kate Gould, Comfort Brown, Jacquline Msefula, Andrew A. Mataya, Michiko Toizumi, Lay-Myint Yoshida, Neil French, Robert S. Heyderman, Stefan Flasche, Brenda Kwambana, Stéphane Hué

“…Across the 24 individuals, the microarray detected 77 non-unique serotypes, of which 42 occurred at high relative abundance (>10%) (per individual, median, 3; range, 1–6 serotypes). …”
Get full text

Microarray construction of antimicrobial resistance genes from Salmonella by MA Meng-gen, WANG Hong-ning, YU Yong, ZHANG Dong, LIU Shi-gui

Subjects: Get full text

Identification of intragenic variants in pediatric patients with intellectual disability in Peru by Hugo Hernán Abarca-Barriga, Flor Vásquez Sotomayor, Renzo Punil-Luciano, María Cristina Laso-Salazar, Heli Jaime Barrón-Pastor

Get full text

The miRNA‐mRNA Regulatory Network in Human Hepatocellular Carcinoma by Transcriptomic Analysis From GEO by Razieh Heidari, Vahideh Assadollahi, Seyedeh Negar Marashi, Fatemeh Elahian, Seyed Abbas Mirzaei

Get full text

Development and Validation of Protein Microarray Technology for Simultaneous Inflammatory Mediator Detection in Human Sera by Senthooran Selvarajah, Ola H. Negm, Mohamed R. Hamed, Carolyn Tubby, Ian Todd, Patrick J. Tighe, Tim Harrison, Lucy C. Fairclough

Get full text

Identification and validation of a novel autoantibody biomarker panel for differential diagnosis of pancreatic ductal adenocarcinoma by Metoboroghene O. Mowoe, Metoboroghene O. Mowoe, Hisham Allam, Joshua Nqada, Marc Bernon, Karan Gandhi, Sean Burmeister, Urda Kotze, Miriam Kahn, Christo Kloppers, Suba Dharshanan, Zafirah Azween, Pamela Maimela, Paul Townsend, Eduard Jonas, Jonathan M. Blackburn, Jonathan M. Blackburn

“…Autoantibodies (AAbs) in principle make attractive biomarkers as they arise early in disease, report on disease-associated perturbations in cellular proteomes, and are static in response to other common stimuli, yet are measurable in the periphery, potentially well in advance of the onset of clinical symptoms.MethodsHere, we used high-throughput, custom cancer antigen microarrays to identify a clinically relevant autoantibody biomarker combination able to differentially detect PDAC. …”
Get full text

Assessment of centrifugation using for accelerated immunological microarray analysis for blood cells investigation by A. V. Shishkin, N. G. Ovchinina, S. S. Bessmeltsev

Subjects: “…immunological microarray…”
Get full text