A Comparative Analysis of the Roles of von Willebrand Factor and ADAMTS13 in Hepatocellular Carcinoma: A Bioinformatics and Microarray-Based Study by Durmuş Ayan, Şerife Buket Bozkurt Polat, Ergül Bayram, Esma Özmen, Fatma Esin Aydın, Serpil Ersan

“…In this study, we aimed to investigate the effects of von Willebrand factor (VWF) and <i>ADAMTS13</i> on HCC prognosis, using bioinformatics tools. …”
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Robust molecular subgrouping and reference-free aneuploidy detection in medulloblastoma using low-depth whole genome bisulfite sequencing by Dean Thompson, Jemma Castle, Martin Sill, Stefan M. Pfister, Simon Bailey, Debbie Hicks, Steven C. Clifford, Edward C. Schwalbe

“…Specifically, whole-genome bisulfite sequencing (WGBS) enables assessment of genome-wide methylation status at single-base resolution, however its routine application has been limited by high DNA input requirements, cost, and a lack of pipelines tailored to more rapidly-acquired and cost-effective low-depth (< 10x) sequencing data. We utilised WGBS data for 69 medulloblastomas, comprising 35 in-house low-depth (~ 10x) and 34 publicly available high-depth (~ 30x) samples, alongside cerebellar controls (n = 8), all with matched DNA methylation microarray data. …”
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A systems approach to prion disease by Daehee Hwang, Inyoul Y Lee, Hyuntae Yoo, Nils Gehlenborg, Ji‐Hoon Cho, Brianne Petritis, David Baxter, Rose Pitstick, Rebecca Young, Doug Spicer, Nathan D Price, John G Hohmann, Stephen J DeArmond, George A Carlson, Leroy E Hood

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Mechanism and relevance of necroptosis to immune microenvironment of periodontitis: A pilot study by ZHENG Zhanglong, LI Jia, JIANG Jirui, SHAN Zhengnan, LI Shengjiao

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

“…The aim of this study was to evaluate the effects of oral bacteria on caries prevalence and periodontal status in pediatric patients with TS.Materials and Methods:Twenty TS patients and 17 healthy girls were examined for cariological and periodontal status. …”
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Mapping quantitative trait loci regions associated with Marek’s disease on chicken autosomes by means of selective DNA pooling by Ehud Lipkin, Jacqueline Smith, Morris Soller, David W. Burt, Janet E. Fulton

“…Distribution of P and LD values were used to assess the QTLR causative elements. Allele substitution effects were calculated based on both pooled SNP microarray genotypes, and individual genotypes of QTLRs markers. …”
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Global effects of DNA replication and DNA replication origin activity on eukaryotic gene expression by Larsson Omberg, Joel R Meyerson, Kayta Kobayashi, Lucy S Drury, John F X Diffley, Orly Alter

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Candidate Anxiety‐Related Genes in the Hippocampus of Hatano Male Rats: Anxiolytic Action of Neuromedin U in the Hippocampus by Kaito Sato, Atsuhiro Ishii, Shohei Kobayashi, Taichi Hatakeyama, Gen Watanabe, Tomoko Soga, Ishwar Parhar, Takashi Matsuwaki, Shogo Moriya, Ryo Ohta, Shuichi Chiba, Maiko Kawaguchi

“…The present study focuses on the hippocampus, which is associated with anxiety‐like behavior, and used microarray analysis and RT‐qPCR to select genes with differential expression in the hippocampus between HAA and LAA (Experiment 1). …”
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Sequential transcriptome profiling: comparative analysis of normal and canine lymphoma preceding detailed T-cell and B-cell subtype comparison by Yeji Kim, Yeji Kim, Jihyun Kim, Jihyun Kim, Yunji Song, Yunji Song, Keunhwan Jang, Se Eun Kim, Se Eun Kim, Se Eun Kim, Ha-Jung Kim, Ha-Jung Kim

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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.…”
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A microarray platform-independent classification tool for cell of origin class allows comparative analysis of gene expression in diffuse large B-cell lymphoma. by Matthew A Care, Sharon Barrans, Lisa Worrillow, Andrew Jack, David R Westhead, Reuben M Tooze

“…This shows superior survival separation for assigned Activated B-cell (ABC) and Germinal Center B-cell (GCB) DLBCL classes relative to a range of other classifiers. DAC is effective on data derived from multiple microarray platforms and formalin fixed paraffin embedded samples and is parsimonious, using 20 classifier genes. …”
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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

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Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment by Ali Shakeri Abroudi, Melika Djamali, Hossein Azizi

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GPC3 as a potential diagnostic and prognostic marker for lung adenocarcinoma by Wei-qin Wu, Qing-song Sun, Li-li Gao, Ya-juan Jia, Hong-mei Zhao, Hong Sun, Xiang Han

“…Four gene expression profiles were downloaded from GEO and merged into a training cohort, and those genes that were differentially expressed between LUAD and normal samples were selected. We performed LASSO regression, SVM-RFE, and ROC curve analyses, and external validations were conducted using the GSE115002 dataset, TCGA + GTEx datasets, and tissue microarrays (TMAs) of 56 patients with LUAD from our hospital. …”
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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

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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

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Hemizygous contiguous gene deletion within Xq28 that includes BCAP31, ABCD1, SRPK3 and SSR4: case report and literature review by Joan Chern-Hui Lien, Vinay D. Chandrasekaran, Tarachandra M. Narumanchi, Melissa S. Napoli, Jo Elle G. Peterson, Charles A. Williams

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Copula-Based Bayesian Model for Detecting Differential Gene Expression by Prasansha Liyanaarachchi, N. Rao Chaganty

“…Finally, we apply our model to <i>Escherichia coli</i> microarray data, illustrating its practical utility in gene expression analysis.…”
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Higher expression of mir‐31‐5p is associated with reduced risk of head and neck keloid recurrence following surgical resection by Albert M. Levin, Oghenefejiro Okifo, Katherine Buhl, Takahiro Ouchi, Bianca Parker, Jessica Tan, Indrani Datta, Xiangguo Dai, Yalei Chen, Nallasivam Palanisamy, Jesse Veenstra, Shannon Carskadon, Jia Li, David Ozog, Christian E. Keller, Dhananjay Chitale, Kevin R. Bobbitt, Howard C. Crawford, Nina Steele, Qing‐Sheng Mi, Lamont R. Jones

“…Methods Using a tissue microarray, mir‐31‐5p expression was measured with miRNAscope, and mir‐31‐5p cell positivity was determined with QuPath. …”
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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). …”
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