Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. by Enrico Glaab, Jaume Bacardit, Jonathan M Garibaldi, Natalio Krasnogor

“…A comparison with other benchmark microarray sample classifiers based on three diverse feature selection algorithms suggests that these evolutionary learning techniques can compete with state-of-the-art methods like support vector machines. …”
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Cysteine‐rich intestinal protein 1 enhances the progression of hepatocellular carcinoma via Ras signaling by Hong‐Yu He, Li Hu

“…Further study showed that the overexpression of CRIP1 enhanced the proliferation and migration of HepG2 cells, but the inhibition of CRIP1 decreased the proliferation and migration of HepG2 cells. Microarray assays and KyotoEncyclopedia of Genes and Genomes (KEGG) pathway analysis showed that overexpression of CRIP1 induced the activation of Ras signaling. …”
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Exploration of the shared pathways and common biomarkers in cervical and ovarian cancer using integrated bioinformatics analysis by Fang Liu, Min Wang, Tian Zhu, Cong Xu, Guangming Wang

“…Abstract Objective Searching for potential biomarkers and therapeutic targets for early diagnosis of gynecological tumors to improve patient survival. Methods Microarray datasets of cervical cancer (CC) and ovarian cancer (OC) were downloaded from the Gene Expression Omnibus (GEO) database, then, differential gene expression between cancerous and normal tissues in the datasets was analyzed. …”
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Evaluation of gene expression classification studies: factors associated with classification performance. by Putri W Novianti, Kit C B Roes, Marinus J C Eijkemans

“…The MAQC II study on cancer classification problems has found that performance was affected by factors such as the classification algorithm, cross validation method, number of genes, and gene selection method. In this paper, we study the hypothesis that the disease under study significantly determines which method is optimal, and that additionally sample size, class imbalance, type of medical question (diagnostic, prognostic or treatment response), and microarray platform are potentially influential. …”
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Investigating Single-Molecule Molecular Inversion Probes for Medium-Scale Targeted DNA Methylation Analysis by Roy B. Simons, Hieab H. H. Adams, Manfred Kayser, Athina Vidaki

“…Considering CpGs with at least 20X coverage, we yielded robust methylation detection with levels comparable to those obtained from the gold standard EPIC microarray analysis (Pearsons’s r: 0.96). …”
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Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma by Gang Wang, Jiaxing Zhang, Yirong Li, Yuyu Zhang, Weiwei Dong, Hengquan Wu, Jinglan Wang, Peiqing Liao, Ziqiang Yuan, Tao Liu, Wenting He

“…Abstract The microarray and single-cell RNA-sequencing (scRNA-seq) datasets of hepatocellular carcinoma (HCC) were downloaded from the Gene Expression Omnibus (GEO) database. …”
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Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach by Joy Prokash Debnath, Kabir Hossen, Sabrina Bintay Sayed, Md. Sayeam Khandaker, Preonath Chondrow Dev, Saifuddin Sarker, Tanvir Hossain

“…This study aimed to identify the differentially expressed genes (DEGs) induced by the 2022 MPXV infection through comprehensive bioinformatics analyses of microarray and RNA-Seq datasets from post-infected cell types with different MPXV clades. …”
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Ultrasensitive Bead-Based Immunoassay for Real-Time Continuous Sample Flow Analysis by Yuri M. Shlyapnikov, Elena A. Shlyapnikova

“…The flow cell is integrated with a microarray-based signal detection module, where beads with bound analyte scan the microarray surface and are retained on it by single specific interactions, assuring ultra-high sensitivity of the method. …”
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Genetic correlation between fetal nuchal translucency thickening and cystic hygroma and exploration of pregnancy outcome by Jianli Zheng, Tiantian Wang, Huilin Sun, Yongjuan Guan, Fangfang Yang, Jing Wu, Feifei Ying, Yadong Fu, Min Li, Jianbing Liu

“…Abstract Chromosome microarray analysis (CMA) and whole exome sequencing (WES) are increasingly utilized in prenatal diagnosis of abnormal ultrasound findings, but studies on correlation between pathogenic copy number variations (pCNVs) and single-gene mutations in fetuses with nuchal translucency (NT) thickening/cystic hygroma (CH), and pregnancy outcomes, are rare. …”
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Study on hsa_circ_101209 in Plasma of Pregnant Women with Deep Venous Thrombosis by Zhang Y, Li J

“…Sixty women with DVT were selected as the DVT group, and 60 women without DVT as the non-DVT group. hsa_circ_14797 in plasma was detected, as well as D-dimer (D-D) concentration and P-selectin expression. …”
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Bioinformatics meets machine learning: identifying circulating biomarkers for vitiligo across blood and tissues by Qiyu Wang, Jingwei Yuan, Jingwei Yuan, Mengdi Zhang, Haiyan Jia, Hongjie Lu, Yan Wu

“…The merged microarray data were then used for WGCNA to identify modules of features genes. …”
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Prevalence and characteristics of Livestock-Associated Methicillin-Resistant Staphylococcus aureus (LA-MRSA) isolated from chicken meat in the province of Quebec, Canada. by Jocelyn Bernier-Lachance, Julie Arsenault, Valentine Usongo, Éric Parent, Josée Labrie, Mario Jacques, François Malouin, Marie Archambault

“…Multi-Locus Sequence Typing (MLST) and SCCmec typing revealed two profiles (ST398-MRSA-V and ST8-MRSA-IVa), which were distinct using pulse-field gel electrophoresis (PFGE) and microarray (antimicrobial resistance and virulence genes) analyses. …”
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A Synopsis of Serum Biomarkers in Cutaneous Melanoma Patients by Pierre Vereecken, Frank Cornelis, Nicolas Van Baren, Valérie Vandersleyen, Jean-François Baurain

“…However, the poor sensitivity and specificity of those markers and many other molecules are serious limitations for their routine use in both early (AJCC stage I and II) and advanced stages of melanoma (AJCC stage III and IV). Microarray technology and proteomic research will surely provide new candidates in the near future allowing more accurate definition of the individual prognosis and prediction of the therapeutic outcome and select patients for early adjuvant strategies.…”
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The transcription factors Snail and Slug activate the transforming growth factor-beta signaling pathway in breast cancer. by Archana Dhasarathy, Dhiral Phadke, Deepak Mav, Ruchir R Shah, Paul A Wade

“…In order to obtain a global view of the impact of Snail and Slug expression, we performed a microarray experiment using the MCF-7 breast cancer cell line, which does not express detectable levels of Snail or Slug. …”
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An Ensemble Classification Method for High-Dimensional Data Using Neighborhood Rough Set by Jing Zhang, Guang Lu, Jiaquan Li, Chuanwen Li

“…Efficient and effective sample classification and feature selection are challenging tasks due to high dimensionality and small sample size of microarray data. …”
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Ultrasensitive Peptide-Based Electrochemical Biosensor for Universal Diagnostic of Dengue by Isis Campos Prado, João Pedro Rangel da Silva Carvalho, André Souza Araujo, Paloma Napoleão-Pêgo, Salvatore Giovanni De-Simone

“…An identified linear B-cell epitope (DENV/18) specific for DENV 1–4 serotypes recognized by IgG in patient sera was selected as a target molecule after a microarray of peptides using the SPOT-synthesis methodology. …”
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Cuproptosis-related signature and immune infiltration in age-related macular degeneration by Chen Li, Yi-Cheng Lu, Ming-Xuan Chen

“…METHODS: The expression profiles of cuproptosis-related genes and immune signature in AMD based on the microarray dataset GSE29801 were analyzed. A total of 142 AMD samples were used to identify the cuproptosis-related differentially expressed genes (Cu-DEGs), together with the immune cell infiltration. …”
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Chlamydiaceae in wild, feral and domestic pigeons in Switzerland and insight into population dynamics by Chlamydia psittaci multilocus sequence typing. by Prisca Mattmann, Hanna Marti, Nicole Borel, Martina Jelocnik, Sarah Albini, Barbara Renate Vogler

“…Subsequent species identification was performed by DNA-microarray assay, sequencing of a 16S rRNA gene fragment and a C. psittaci specific qPCR. …”
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An immunomics approach to schistosome antigen discovery: antibody signatures of naturally resistant and chronically infected individuals from endemic areas. by Soraya Gaze, Patrick Driguez, Mark S Pearson, Tiago Mendes, Denise L Doolan, Angela Trieu, Donald P McManus, Geoffrey N Gobert, Maria Victoria Periago, Rodrigo Correa Oliveira, Fernanda C Cardoso, Guilherme Oliveira, Guilherme Oliveira, Rie Nakajima, Al Jasinskas, Chris Hung, Li Liang, Jozelyn Pablo, Jeffrey M Bethony, Philip L Felgner, Alex Loukas

“…Herein, we take advantage of recent advances in systems biology and longitudinal studies in schistosomiasis endemic areas in Brazil to pilot an immunomics approach to the discovery of schistosomiasis vaccine antigens. We selected mostly surface-derived proteins, produced them using an in vitro rapid translation system and then printed them to generate the first protein microarray for a multi-cellular pathogen. …”
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Complex patterns of chromosome 11 aberrations in myeloid malignancies target CBL, MLL, DDB1 and LMO2. by Thorsten Klampfl, Jelena D Milosevic, Ana Puda, Andreas Schönegger, Klaudia Bagienski, Tiina Berg, Ashot S Harutyunyan, Bettina Gisslinger, Elisa Rumi, Luca Malcovati, Daniela Pietra, Chiara Elena, Matteo Giovanni Della Porta, Lisa Pieri, Paola Guglielmelli, Christoph Bock, Michael Doubek, Dana Dvorakova, Nada Suvajdzic, Dragica Tomin, Natasa Tosic, Zdenek Racil, Michael Steurer, Sonja Pavlovic, Alessandro M Vannucchi, Mario Cazzola, Heinz Gisslinger, Robert Kralovics

“…Therefore, we studied chromosome 11 in a total of 813 samples from 773 individual patients with different myeloid malignancies by SNP microarrays and complemented the data with exome sequencing in selected cases exhibiting chromosome 11 defects. …”
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