Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas by Xing Liu, Yiming Li, Zhiyan Sun, Shaowu Li, Kai Wang, Xing Fan, Yuqing Liu, Lei Wang, Yinyan Wang, Tao Jiang

“…Gene set enrichment analysis (GSEA), significant analysis of microarray, generalized linear models, and Least absolute shrinkage and selection operator algorithm were used to explore radiogenomic and prognostic signatures of AG patients. …”
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Bioinformatic analyses reveal lysosomal-associated protein transmembrane 5 as a potential therapeutic target in lipotoxicity-induced injury in diabetic kidney disease by Xin Chen, Shenglong Zhu, Ciyou Huang, Jiayi Liu, Jinbang Wang, Siyuan Cui

“…Here, we analyzed the GSE 30529 microarray datasets of human tubulointerstitial tissue samples from the Gene Expression Omnibus database (GEO). …”
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Mapping autoantibody targets of full-length C-reactive protein in systemic lupus erythematosus: importance for neutrophil function and classical complement activation by Jesper Karlsson, Lina Wirestam, Hanna Duàn, Suhana Ahmad, Daniel Appelgren, Helena Enocsson, Jonas Wetterö, Christopher Sjöwall

“…The levels of anti-CRP and SLE-associated antibodies were assessed, and a microarray-based linear epitope mapping was performed to detect binding sites on the full CRP monomer. …”
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Identifying a unique chromosomal pattern to predict the gemcitabine response in patients with cholangiocarcinoma by Sutheemon Techa-ay, Sasithorn Watcharadetwittaya, Raksawan Deenonpoe, Prakasit Sa-ngiamwibool, Chanita Panwoon, Watcharin Loilome, Poramate Klanrit, Anchalee Techasen, Yaovalux Chamgramol, Manida Suksawat, Napat Armartmuntree, Thomas O’Connor, Hideyuki Saya, Malinee Thanee

“…To predict the response to GEM, we evaluated chromosomal aberrations using a chromosome microarray, and their association with GEM response by histoculture drug response assay. …”
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RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis by S. M. Nuruzzaman Nobel, S M Masfequier Rahman Swapno, Md. Ashraful Hossain, Mejdl Safran, Sultan Alfarhood, Md. Mohsin Kabir, M. F. Mridha

“…This study primarily uses a unique dataset painstakingly selected from 20 esteemed medical institutes. The dataset includes a wide range of images, such as tissue microarray (TMA) images at 40× magnification and whole-slide images (WSI) at 20× magnification. …”
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Multiple-omics analysis of aggrephagy-related cellular patterns and development of an aggrephagy-related signature for hepatocellular carcinoma by Jiafen Xie, Xiaoming Wang

“…Abstract Background Protein aggrephagy, a selected autophagy process response for degrading protein aggregates, plays a critical role in various cancers. …”
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A Transcriptional Signature of Fatigue Derived from Patients with Primary Sjögren's Syndrome. by Katherine James, Shereen Al-Ali, Jessica Tarn, Simon J Cockell, Colin S Gillespie, Victoria Hindmarsh, James Locke, Sheryl Mitchell, Dennis Lendrem, Simon Bowman, Elizabeth Price, Colin T Pease, Paul Emery, Peter Lanyon, John A Hunter, Monica Gupta, Michele Bombardieri, Nurhan Sutcliffe, Costantino Pitzalis, John McLaren, Annie Cooper, Marian Regan, Ian Giles, David Isenberg, Vadivelu Saravanan, David Coady, Bhaskar Dasgupta, Neil McHugh, Steven Young-Min, Robert Moots, Nagui Gendi, Mohammed Akil, Bridget Griffiths, UK Primary Sjögren’s Syndrome registry, Anil Wipat, Julia Newton, David E Jones, John Isaacs, Jennifer Hallinan, Wan-Fai Ng

“…Finally, gene set enrichment analysis (GSEA) was used as a feature selection technique for input into a support vector machine (SVM) classifier. …”
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Screening and identification of potential target of 1′-acetoxychavicol acetate (ACA) in acquired lapatinib-resistant breast cancer by Febri Wulandari, Ahmad Fauzi, Muhammad Da'i, Mahmoud Mirzaei, Maryati, Kun Harismah

“…Genomic mutations, expression levels, prognostic significance, and ROC analysis were examined in selected genes. We used AutoDock Vina to conduct ACA molecular docking with potential target genes. …”
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Identification of Hub Biomarkers and Immune and Inflammation Pathways Contributing to Kawasaki Disease Progression with RT-qPCR Verification by Hongjun Ba, Lili Zhang, Huimin Peng, Xiufang He, Yuese Lin, Xuandi Li, Shujuan Li, Ling Zhu, Youzhen Qin, Xing Zhang, Yao Wang

“…Patients and Methods. Gene microarray data were collected from the Gene Expression Omnibus database. …”
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HDAC1 Mediates Immunosuppression of the Tumor Microenvironment in Non-Small Cell Lung Cancer by Fan Y, Ji X, Yuan K, Wu Q, Lou M

“…However, there are no studies on the immunological aspects of HDAC1 in non-small cell lung cancer (NSCLC).Methods: In this research, we used the Cancer Genome Atlas (TCGA) public database combined with tissue microarray (TMA) to investigate HDAC1 expression and prognosis in NSCLC. …”
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Bayesian inference towards the resolution of molecular evolution: application to the “Trichoderma harzianum sensu lato” clade by Druzhinina I S, Kubicek C P

“…The clade containing the ex-neotype strain of T. harzianum included exclusively clonally propagating isolates from temperate climates, and was clearly distinguished from all other “H. lixii/T. harzianum” lineages by multivariate analysis of phenotype microarray data. We propose that only this lineage should be regarded as T. harzianum sensu stricto, and that the other lineages be regarded as T. harzianum sensu lato until phenetic characters have been defined which allow their description as separate taxa.…”
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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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Identification and validation of diagnostic genes IFI44 and IRF9 in insomnia-associated autoimmune uveitis by Chao Wu, Hui Feng, Meng Tian, Baorui Chu, Xianyang Liu, Shuhao Zeng, Yakun Wang, Hong Wang, Shengping Hou, Qingfeng Liang

“…We investigated insomnia-associated genes that may contribute to AU pathogenesis and sought to identify potential biomarkers for insomnia-associated AU.MethodsMicroarray data related to insomnia and AU were downloaded from the Gene Expression Omnibus (GEO) database and analyzed. …”
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Genome-wide analysis of long non-coding RNA expression and function in colorectal cancer by Fangyuan Jing, Huicheng Jin, Yingying Mao, Yingjun Li, Ye Ding, Chunhong Fan, Kun Chen

“…Long non-coding RNA microarray was applied to investigate the global long non-coding RNA expression profile in colorectal cancer. …”
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Integrated analysis of hub genes and intrinsically disordered regions in triple-negative breast cancer by Azhar Iqbal, Faisal Ali, Sulaiman Ali Alharbi, Muhammad Sajid, Saleh Alfarraj, Momina Hussain, Tehmina Siddique, Rakhshanda Mustaq, Fakhra Shafique, Muhammad Sarfaraz Iqbal

“…Despite several attempts, the molecular pathways of TNBC remain unknown, posing a significant clinical barrier in the search for viable targets. Two microarray datasets were used to identify possible targets for TNBC, GSE38959 and GSE45827, retrieved from the Gene Expression Omnibus (GEO) database. …”
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Early diagnosis of acute myocardial infarction via hub genes identified by integrated weighted gene co-expression network analysis by Kun Huang, Feng Wen, Jingyi Li, Wenhao Niu, Hui Chen, Shilei Wan, Fupeng Yang, Yihong Chen, Chun Liang

“…Diagnostic biomarkers were selected and identified using three machine learning algorithms. …”
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KRT6A, KRT6B, PKP1, and PKP3 as key hub genes in esophageal cancer: A combined bioinformatics and experimental study by Shayan Marhamati, Morvarid Hamrahjoo, Zeinab Seyedkhan, Mahdi Bahmani, Nasrin Ziamajidi, Iraj Khodadadi, Mohadese Pouryani, Roghayeh Abbasalipourkabir

“…In this study, we downloaded the microarray datasets GSE157808 and GSE92396 from the Gene Expression Omnibus (GEO). …”
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Diverse regulated cell death patterns and immune traits in kidney allograft with fibrosis: a prediction of renal allograft failure based on machine learning, single-nucleus RNA seq... by Yuqing Li, Jiandong Zhang, Xuemeng Qiu, Yifei Zhang, Jiyue Wu, Qing Bi, Zejia Sun, Wei Wang

“…A 9-gene signature, termed RCD risk score (RCDI), was constructed using the least absolute shrinkage and selection operator and multivariate Cox regression algorithms. …”
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The potential crosstalk genes and molecular mechanisms between systemic lupus erythematosus and periodontitis by Kai Zhao, Xiaolong Li, Qingmiao Zhu, Mengyu Zhu, Jinge Huang, Ting Zhao

“…Random forest (RF) and Least Absolute Shrinkage and Selection Operator (Lasso) regression were employed to identify key hub genes. …”
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Genome-wide analysis in the search for candidate genes associated with meat productivity traits in meat-and-dairy goats by M. I. Selionova, A.-M. M. Aibazov, A. A. Sermyagin, A. A. Belous, N. A. Zinovieva

“…GWAS analysis using Goat 50K BeadChip high-density DNA microarray determined a genome-wide level of significance for six SNPs located on chromosomes 5, 6, 10 and 16 associated with the live weight of young animals (4 and 8 months old). …”
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