Corrigendum to “Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data” by Peng Zhao, Wei Hu, Hongyun Wang, Shengyuan Yu, Chuzhong Li, Jiwei Bai, Songbai Gui, Yazhuo Zhang

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Delineating Novel Signature Patterns of Altered Gene Expression in Schizophrenia Using Gene Microarrays by Karoly Mirnics, Frank A. Middleton, David A. Lewis, Pat Levitt

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Microarray Gene Expression Analysis of Murine Tumor Heterogeneity Defined by Dynamic Contrast-Enhanced MRI by Nick G. Costouros, Dominique Lorang, Yantian Zhang, Marshall S. Miller, Felix E. Diehn, Stephen M. Hewitt, Michael V. Knopp, King C. P. Li, Peter L. Choyke, H. Richard Alexander, Steven K. Libutti

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RatDNA: DATABASE ON MICROARRAY STUDIES OF RATS BEARING GENES ASSOCIATED WITH AGE-RELATED DISEASES by O. S. Kozhevnikova, M. K. Martyschenko, M. A. Genaev, E. E. Korbolina, N. A. Muraleva, N. G. Kolosova, Y. L. Orlov

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Circular RNA microarray expression profile and potential function of circDOCK1 in colorectal cancer by Guojing Zhang, Xiaoyan Wu, Hongmin Fu, Daqing Sun

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Ultra-Fast Processing of Gigapixel Tissue MicroArray Images Using High Performance Computing by Yinhai Wang, David McCleary, Ching-Wei Wang, Paul Kelly, Jackie James, Dean A. Fennell, Peter Hamilton

“…Background: Tissue MicroArrays (TMAs) are a valuable platform for tissue based translational research and the discovery of tissue biomarkers. …”
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Microarray Analysis of Suppression Subtracted Hybridisation Libraries Identifies Genes Associated with Breast Cancer Progression by Dong Liu Barraclough, Susan Sewart, Philip S. Rudland, Balvinder S. Shoker, D. Ross Sibson, Roger Barraclough, Michael P. A. Davies

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A multiplex microarray lateral flow immunoassay device for simultaneous determination of five mycotoxins in rice by Saowalak Adunphatcharaphon, Oluwatobi Kolawole, Thanasat Sooksimuang, Waraporn Panchan, Wannee Wasuthep, Anuwut Petdum, Grit Pichayawaytin, Rungroj Jintamethasawat, Narusorn Doljirapisit, Armote Somboonkaew, Prae Noppakuadrittidej, Sudtida Kaew-amdee, Manlika Makornwattana, Julie Meneely, Christopher T. Elliott, Awanwee Petchkongkaew, Nitsara Karoonuthaisiri

“…This study developed an eco-friendly sample preparation method and an innovative multiplex microarray-based lateral flow immunoassay, using a novel portable reader for on-site simultaneous determination of five regulated mycotoxins—aflatoxin B1, T-2 toxin, zearalenone, deoxynivalenol, and fumonisin B1 in rice. …”
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Data analysis of high-throughput sequencing and microarray to identify key signatures of microribonucleic acids in glioblastoma by A. A. Pushkin, E. A. Dzenkova, N. N. Timoshkina, D. Yu. Gvaldin

“…A total of 156 glioblastoma samples with mRNA sequencing data, 571 samples with microarray microRNA analysis data, and 15 control samples were analyzed. …”
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Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus by Lixin Zhang, Usha Reddi, Usha Srinivasan, Sheng Li, Stephanie M. Borchardt, Parvathy Pillai, Puja Mehta, Anne N. Styka, Joan DeBusscher, Carl F. Marrs, Betsy Foxman

“…Comparative hybridization using an oligonucleotide microarray, combined with epidemiologic screening using the LOS microarray platform, enabled rapid identification of bacterial genes potentially associated with pathogenicity.…”
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Identification of Iron Homeostasis Genes Dysregulation Potentially Involved in Retinopathy of Prematurity Pathogenicity by Microarray Analysis by Xian-qiong Luo, Chun-yi Zhang, Jia-wen Zhang, Jing-bo Jiang, Ai-hua Yin, Li Guo, Chuan Nie, Xu-zai Lu, Hua Deng, Liang Zhang

“…Cultivated cells were treated with CoCl2 to induce hypoxia. The dual-color microarray approach was adopted to compare gene expression profiling between treated RMECs and the paired untreated control. …”
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COMPUTER ANALYSIS OF DATA ON GENE EXPRESSION IN BRAIN CELLS OBTAINED BY MICROARRAY TESTS AND HIGH-THROUGHPUT SEQUENCING by I. V. Medvedeva, O. V. Vishnevsky, N. S. Safronova, O. S. Kozhevnikova, M. A. Genaev, A. V. Kochetov, D. A. Afonnikov, Y. L. Orlov

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Exploring the comorbidity mechanisms between atherosclerosis and hashimoto’s thyroiditis based on microarray and single-cell sequencing analysis by Yirong Ma, Shuguang Wu, Junyu Lai, Qiang Wan, Jingxuan Hu, Yanhong Liu, Ziyi Zhou, Jianguang Wu

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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

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Ensemble Classification Model With CFS-IGWO–Based Feature Selection for Cancer Detection Using Microarray Data by Pinakshi Panda, Sukant Kishoro Bisoy, Sandeep Kautish, Reyaz Ahmad, Asma Irshad, Nadeem Sarwar

“…ML-based model for cancer diagnosis is done using two forms of data: gene expression data and microarray data. The data on gene expression levels includes many dimensions. …”
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Exploring Heat-Response Mechanisms of MicroRNAs Based on Microarray Data of Rice Post-meiosis Panicle by Yan Peng, Xianwen Zhang, Yuewu Liu, Xinbo Chen

“…To explore heat response mechanisms of mircoRNAs (miRNAs) in rice post-meiosis panicle, microarray analysis was performed on RNA isolated from rice post-meiosis panicles which were treated at 40°C for 0 min, 10 min, 20 min, 60 min, and 2 h. …”
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Comprehensive Screening of Gene Function and Networks by DNA Microarray Analysis in Japanese Patients with Idiopathic Portal Hypertension by Kohei Kotani, Joji Kawabe, Hiroyasu Morikawa, Tomohiko Akahoshi, Makoto Hashizume, Susumu Shiomi

“…The present study was undertaken to identify the functions of genes expressed in blood samples from patients with IPH through comprehensive analysis of gene expression using DNA microarrays. The data were compared with data from healthy individuals to explore the functions of genes showing increased or decreased expression in patients with IPH. …”
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Identification of Critical Signature in Post‐Traumatic Stress Disorder Using Bioinformatics Analysis and in Vitro Analyses by Lifen Liu, Yang Liu, Rui Li, Yue Teng, Shuyang Zhao, Jinhong Chen, Changjiang Li, Xinyu Hu, Lin Sun

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Understanding Autoimmune Mechanisms in Multiple Sclerosis Using Gene Expression Microarrays: Treatment Effect and Cytokine-related Pathways by A. Achiron, M. Gurevich, D. Magalashvili, I. Kishner, M. Dolev, M. Mandel

“…We have applied gene expression microarrays technology in peripheral blood mononuclear cells (PBMC) to better understand MS pathogenesis and better target treatment approaches. …”
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A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta-Analysis by Marianthi Logotheti, Olga Papadodima, Nikolaos Venizelos, Aristotelis Chatziioannou, Fragiskos Kolisis

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