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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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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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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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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Coordinate Descent-Based Sparse Nonnegative Matrix Factorization for Robust Cancer-Class Discovery and Microarray Data Analysis by Melisew Tefera Belachew

“…Discovering the number of classes in cancer and microarray data plays a vital role in the treatment and diagnosis of cancers and other related diseases. …”
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Assessment of Combined Karyotype Analysis and Chromosome Microarray Analysis in Prenatal Diagnosis: A Cohort Study of 3710 Pregnancies by Jin Wang, Danni Wang, Yan Yin, Yi Deng, Mengling Ye, Ping Wei, Zhuo Zhang, Chun Chen, Shengfang Qin, Xueyan Wang

“…The current study aimed to compare the characteristics of chromosome abnormalities detected by conventional G-banding karyotyping, chromosome microarray analysis (CMA), or fluorescence in situ hybridization (FISH)/CNVplex analysis and further explore the application value of combined karyotype analysis and CMA in prenatal diagnosis with a larger sample size. …”
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A customizable multiplex protein microarray for antibody testing and its application for tick-borne and other infectious diseases by Hari Krishnan Krishnamurthy, Vasanth Jayaraman, Karthik Krishna, Tianhao Wang, Kang Bei, Chithra Changalath, Shiny Matilda, Alex J. Rai, Renata Welc-Falęciak, Agnieszka Pawełczyk, Lucas S. Blanton, Aleš Chrdle, Andrea Fořtová, Daniel Růžek, Gheyath K. Nasrallah, Laith J. Abu-Raddadi, Duaa W. Al-Sadeq, Marah Abed Alhakim Abdallah, Daniele Lilleri, Chiara Fornara, Piera D’Angelo, Milena Furione, Maria Söderlund-Venermo, Klaus Hedman, Dimosthenis Chochlakis, Eirini Makridaki, Artemis Ntoula, Anna Psaroulaki, Angélica Escárcega-Ávila, John J. Rajasekaran

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