Genome-wide association analysis of wheat stem traits using 55K microarrays by Wei Wang, Na Sun, Kai Zhao, JiKun Song, Hui Fang, Guiqiang Fan, Yonghong Gao, Tianrong Huang, Yindeng Ding

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A Sensitive and Fast microRNA Detection Platform Based on CRlSPR-Cas12a Coupled with Hybridization Chain Reaction and Photonic Crystal Microarray by Bingjie Xue, Bokang Qiao, Lixin Jia, Jimei Chi, Meng Su, Yanlin Song, Jie Du

“…By using photonic crystal microarrays with a stopband-matched emission spectrum of the fluorescent-quencher modified reporter, the fluorescence signal was moderately enhanced to increase the sensitivity. …”
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Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

“…Gene-expression analysis can be an alternative, where the different machine learning and artificial intelligence techniques can be developed to learn microarray RNA details for breast cancer detection. …”
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Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma by Domenico Pomarico, Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Antonio Lacalamita, Marianna La Rocca, Tommaso Maggipinto, Ester Pantaleo, Sabina Tangaro, Sebastiano Stramaglia, Roberto Bellotti

“…In particular, quantum machine learning shows promising generalization capabilities, which we have exploited in the classification of hepatocellular carcinoma tissue based on microarray gene expressions. By using previously characterized genetic communities, we minimize the computational complexity associated with the number of qubits, enabling the execution of quantum-inspired algorithms on classical machines. …”
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Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS by Iwona Stelniec‐Klotz, Stefan Legewie, Oleg Tchernitsa, Franziska Witzel, Bertram Klinger, Christine Sers, Hanspeter Herzel, Nils Blüthgen, Reinhold Schäfer

“…We measured mRNA and protein levels in manipulated cells by microarray, RT–PCR and western blot analysis, respectively. …”
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Does Bilirubin Have a Causal Relationship With Vitiligo? A Mendelian Randomization Study and Bioinformatics Analysis by Xu D, Yin Y, Teng Y, Huang Y, Yu Y, Tao X, Fan Y, Ding X

“…This study aims to investigate the causal associations between bilirubin and vitiligo using Mendelian randomization (MR) analysis, complemented by bioinformatics validation to unravel the underlying molecular mechanisms.Methods: Genome-wide association study (GWAS) data pertaining to vitiligo and bilirubin were obtained, followed by the execution of a bidirectional MR analysis. Additionally, we performed a bioinformatics analysis using microarray datasets to identify differentially expressed genes (DEGs) in relation to bilirubin in patients with vitiligo. …”
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