Rapid Whole-Genome Sequencing in Critically Ill Infants and Children with Suspected, Undiagnosed Genetic Diseases: Evolution to a First-Tier Clinical Laboratory Test in the Era of... by Rina Kansal

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Glycopattern comparison of sperm and exosomes from conventional in vitro fertilization and rescue intracytoplasmic sperm injection: Enhancing sperm motility through exosome‐mediate... by Muhammad Anas Ramzan, Zhedong Yang, Li Cao, Jinyuan Zhang, Fei Wu, Miaomiao Xin, Bo Guo, Lumin Wang, Lingyu Zhao, Yannan Qin, Chengcheng Liu

“…Abstract Infertility is a global issue, with male factors contributing to approximately 50% of cases. …”
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Laryngeal Squamous Cell Carcinoma Is Characterized by a Stronger Expression of Nectin-4 Compared to Nectin-2 by Matej Maršić, Nives Jonjić, Maja Gligora Marković, Svjetlana Janković, Marko Velepič, Ilinko Vrebac, Lara Batičić, Tamara Braut

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A Novel Ensemble Feature Selection Technique for Cancer Classification Using Logarithmic Rank Aggregation Method by Hüseyin Öztoprak, Hüseyin Güney

“…Recent studies have shown that ensemble feature selection (EFS) has achieved outstanding performance in microarray data classification. However, some issues remain partially resolved, such as suboptimal aggregation methods and non-optimised underlying FS techniques. …”
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Phosphoribosyl transferase domain containing 1: A prognostic biomarker in testicular germ cell tumors by Peisheng Huang, Yihao Chen, Yongcheng Shi, Chuanfan Zhong, Huawei Lin, Xiaoxue Yu, Kai Chen, Zhuoya Huang, Le Zhang, Shumin Fang, Jianming Lu, Jiahong Chen

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Chronic Exposure of Renal Progenitor Cells (HRTPT) to As (III) Implicates Microfibril Associated Protein 5 (MFAP5) in the Activation of Carcinoembryonic Antigen Related Cell Adhesi... by Md Ehsanul Haque, Donald A. Sens, Scott H. Garrett

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Neurotransmission Sex Dichotomy in the Rat Hypothalamic Paraventricular Nucleus in Healthy and Infantile Spasm Model by Dumitru Andrei Iacobas, Jana Veliskova, Tamar Chachua, Chian-Ru Chern, Kayla Vieira, Sanda Iacobas, Libor Velíšek

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The Construction of ceRNA Regulatory Network Unraveled Prognostic Biomarkers and Repositioned Drug Candidates for the Management of Pancreatic Ductal Adenocarcinoma by Busra Aydin, Keziban Okutan, Ozge Onluturk Aydogan, Raghu Sinha, Beste Turanli

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SPP1 mRNA Expression Is Associated with M2 Macrophage Infiltration and Poor Prognosis in Triple-Negative Breast Cancer by Yu-Chia Chen, Chia-Ching Chen, Rong-Fu Chen, Hsin-Hung Chen, Po-Ming Chen

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Reconstructing Dynamic Gene Regulatory Networks Using f-Divergence from Time-Series scRNA-Seq Data by Yunge Wang, Lingling Zhang, Tong Si, Sarah Roberts, Yuqi Wang, Haijun Gong

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Improving machine learning detection of Alzheimer disease using enhanced manta ray gene selection of Alzheimer gene expression datasets by Zahraa Ahmed, Mesut Çevik

“…However, the late enriched understanding of the genetic underpinnings of AD has been made possible due to recent advancements in data mining analysis methods, machine learning, and microarray technologies. However, the “curse of dimensionality” caused by the high-dimensional microarray datasets impacts the accurate prediction of the disease due to issues of overfitting, bias, and high computational demands. …”
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Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification by Santhakumar D, Gnanajeyaraman Rajaram, Elankavi R, Viswanath J, Govindharaj I, Raja J

“…Gene selection plays a crucial role in the pre-processing of microarray data, aiming to identify a small set of genes that enhances classification accuracy and reduces costs. …”
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Bayesian weighted random forest for classification of high-dimensional genomics data by Oyebayo Ridwan Olaniran, Mohd Asrul A. Abdullah

“…Secondly, a new variable ranking procedure is developed and then hybridized with BWRCF to tackle the high-dimensionality issues. The performance of the proposed method is analyzed using simulated and real-life high-dimensional microarray datasets based on holdout accuracy and misclassification error rates. …”
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THE STUDY OF RS1800629 (G-308А) POLYMORPHISM OF THE TNF GENE IN PATIENTS WITH MYOCARDIAL INFARCTION WITH ELEVATED ST SEGMENT by M. V. Zykov, O. A. Makeeva, M. V. Golubenko, V. V. Kashtalap, V. N. Karetnikova, I. A. Goncharova, E. V. Kulish, L. S. Barbarash, O. L. Barbarash, V. P. Puzyrev

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RETRACTED ARTICLE: Multi-stage biomedical feature selection extraction algorithm for cancer detection by Ismail Keshta, Pallavi Sagar Deshpande, Mohammad Shabaz, Mukesh Soni, Mohit kumar Bhadla, Yasser Muhammed

“…Early cancer detection is greatly aided by machine learning and artificial intelligence (AI) to gene microarray data sets (microarray data). Despite this, there is a significant discrepancy between the number of gene features in the microarray data set and the number of samples. …”
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Delineation of 2q32q35 Deletion Phenotypes: Two Apparent “Proximal” and “Distal” Syndromes by Adrian Mc Cormack, Juliet Taylor, Nerine Gregersen, Alice M. George, Donald R. Love

“…They presented with wide-ranging phenotypic variation including facial dysmorphisms, cleft palate, learning difficulties, behavioural issues and severe heart defects. Microarray analysis confirmed an 8.6 Mb deletion in patients 1 and 2 and a 24.7 Mb deletion in patient 3. …”
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c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's disease. by Sherlyn Jemimah, Ferial Abuhantash, Aamna AlShehhi

“…We trained the model with blood genotyping data, microarray, and clinical features from the Alzheimer's Neuroimaging Disease Initiative (ADNI). …”
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Machine learning-based single-sample molecular classifier for cancer grading by Zoia Antysheva, Nikita Kotlov, Mariia V. Guryleva, Ivan Valiev, Viktor Svekolkin, Anna Belozerova, Sheila T. Yong, Dmitry Tabakov, Alexander Bagaev, Vladimir Kushnarev

“…While low- and high-grade tumors are predictive of patient survival for many cancers, tumors of intermediate morphological grades are considered unreliable due to interobserver variability and thus do not have clear prognostic significance. To address this issue, we devised a molecular-based classifier that uses gene expression data from RNA sequencing (RNA-seq) or microarray profiling to predict high- and low-grade risk groups for breast, lung, and renal cancers. …”
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Identification of Novel Biomarkers in Huntington’s Disease Based on Differential Gene Expression Meta-Analysis and Machine Learning Approach by Nayan Dash, Md Abul Bashar, Jeonghan Lee, Raju Dash

“…Currently, the diagnosis relies on the signs and symptoms shown by patients; however, by that stage, the psychomotor issues have progressed to a point where reversal of the condition is unattainable. …”
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Use of data-biased random walks on graphs for the retrieval of context-specific networks from genomic data. by Kakajan Komurov, Michael A White, Prahlad T Ram

“…We also present NetWalk analysis of microarray gene expression data from MCF7 cells exposed to different doses of doxorubicin, which reveals a switch-like pattern in the p53 regulated network in cell cycle arrest and apoptosis. …”
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