Ensemble Algorithm Based on Gene Selection, Data Augmentation, and Boosting Approaches for Ovarian Cancer Classification by Zne-Jung Lee, Jing-Xun Cai, Liang-Hung Wang, Ming-Ren Yang

“…<b>Background:</b> Ovarian cancer is a difficult and lethal illness that requires early detection and precise classification for effective therapy. …”
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Role of transcriptomics in the study of oral cancer by Prabhu Manickam Natarajan, Vidhya Rekha Umapathy

“…Oral cancer, a formidable public health challenge, demands innovative approaches for early detection and effective treatment. This review explores the transformative role of transcriptomics in oral cancer research, leveraging cutting-edge technologies to decode the RNA landscape of tumors. …”
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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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A hybrid of an automated multi-filter with a spatial bound particle swarm optimization for gene selection and cancer classification by Anas Arram, Masri Ayob, Musatafa Abbas Abbood Albadr, Dheeb Albashish, Alaa Sulaiman

“…Cancer is one of the most dangerous diseases and a leading cause of death globally. Therefore, early detection of cancer is critical for effective treatments. …”
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Identification of potential biomarkers and pathways related to major depressive disorder by integrated bioinformatic analysis and experimental validation by Ying Zeng, Lu-Qi Peng, Mei Zhang, Rong Zhong, Ke-Chao Nie, Wei Huang

“…Objective: To identify promising biomarkers for the pathogenesis of major depressive disorder (MDD). Methods: Microarray chips of MDD patients, including the GSE98793, GSE52790, and GSE39653 datasets, were obtained from the Gene Expression Omnibus database. …”
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Genetic etiology and pregnancy outcomes of fetal hyperechoic kidneys: a retrospective analysis by Meiying Cai, Na Lin, Ziheng Xiao, Ziheng Xiao, Hailong Huang, Lin Zheng, Liangpu Xu

“…Chromosome karyotyping and chromosomal microarray analysis (CMA) were performed on fetuses displaying this phenotype on prenatal ultrasound. …”
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Utilizing Machine Learning Techniques for Cancer Prediction and Classification based on Gene Expression Data by Mariwan Mahmood Hama Aziz, Sozan Abdullah Mahmood

“…Lately, several studies have delved into cancer classification by leveraging data mining techniques, machine learning algorithms, and statistical methods to thoroughly analyze high-dimensional datasets. Detecting cancer early by examining gene expression data is vital for providing effective patient care. …”
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Genomic imbalances detected through array CGH in fetuses with holoprosencephaly by Isabela Nelly Machado, Juliana Karina Heinrich, Ricardo Barini

“…CONCLUSION: This is the first report of molecular characterization through a whole genome microarray CGH of fetuses with HPE. Our results may contribute to verify the effectiveness and applicability of the molecular technique of array CGH for prenatal diagnosis purposes, and contributing to the knowledge of the submicroscopic genomic instability characterization of HPE fetuses.…”
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Detection of host-derived sphingosine by Pseudomonas aeruginosa is important for survival in the murine lung. by Annette E LaBauve, Matthew J Wargo

“…The members of the SphR transcriptome were identified by microarray analyses, and DNA binding assays showed specific interaction of these promoters with SphR, which enabled us to determine the consensus SphR binding site. …”
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Augmenting precision medicine via targeted RNA-Seq detection of expressed mutations by Dan Li, Jianying Li, Donald J. Johann, Daniel Butler, Guangchun Chen, Jonathan Foox, Binsheng Gong, Wendell Jones, David P. Kreil, Rebecca Kusko, Paweł P. Łabaj, Anne Bergstrom Lucas, Christopher E. Mason, Christopher Mozsary, Natalia Novoradovskaya, Carlos Pabón-Peña, Bohu Pan, Todd A. Richmond, Roberta Maestro, Sayed Mohammad Ebrahim Sahraeian, Andreas Scherer, Hagen U. Tilgner, James C. Willey, Pierre R. Bushel, Joshua Xu

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Nanomaterials based biosensors applied for detection of aflatoxin B1 in cereals: a review by Loyce Namanya, Emma Panzi Mukhokosi, Ediriisa Mugampoza

“…However, more studies are needed to address the automatic simultaneous detection of various aflatoxins in real samples and a biosensing system that integrates with microarray technology.…”
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Development and validation of a Luminex assay for detection of a predictive biomarker for PROSTVAC-VF therapy. by Julie L Lucas, Erin A Tacheny, Allison Ferris, Michelle Galusha, Apurva K Srivastava, Aniruddha Ganguly, P Mickey Williams, Michael C Sachs, Magdalena Thurin, James V Tricoli, Winnie Ricker, Jeffrey C Gildersleeve

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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

“…We proposed a new Attention Embedder, a state-of-the-art model with effective results in ovarian cancer subtype classification and outlier detection. …”
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Advances in Research on Isothermal Signal Amplification Mediated MicroRNA Detection of Clinical Samples: Application to Disease Diagnosis by Yu Han, Xin Sun, Sheng Cai

“…However, the intrinsic characteristics of miRNAs, including their low abundance, short sequence lengths, and high family-specific sequence homology, render traditional detection methods such as Northern blot hybridization, microarray use, and reverse transcription quantitative PCR (RT-qPCR) inadequate for meeting the stringent requirements of clinical detection in biological samples, a task requiring accuracy, rapidity, high detection power, specificity, and cost-effectiveness. …”
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EsoDetect: computational validation and algorithm development of a novel diagnostic and prognostic tool for dysplasia in Barrett’s esophagus by Migla Miskinyte, Benilde Pondeca, José B. Pereira-Leal, Joana Cardoso

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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

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Effects of tumour-associated macrophages on cardia carcinoma progression by Zhixiong Zhang, Zihong Xu, Yaowu Cai, Xintong Chen, Chaoqing Huang, Xuefeng Xu

“…Western blotting was used to detect the expression of matrix metalloproteinase-2 (MMP-2) and its inhibitor tissue inhibitor of metalloproteinase-3 (TIMP-3) in the microarrayed tissues. …”
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AssayBLAST: A Bioinformatic Tool for <i>In Silico</i> Analysis of Molecular Multiparameter Assays by Maximilian Collatz, Sascha D. Braun, Martin Reinicke, Elke Müller, Stefan Monecke, Ralf Ehricht

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Lack of effect of the Salmonella deubiquitinase SseL on the NF-κB pathway. by Francisco S Mesquita, David W Holden, Nathalie Rolhion

“…To attempt to clarify these discrepancies, we compared mRNA levels in mouse primary bone marrow-derived macrophages infected with wild-type or sseL mutant strains using a genome-wide microarray. There was no detectable effect of loss of SseL on mRNA levels corresponding to any known NF-κB-regulated gene. …”
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Effects of hsa-mir-145-5p on the Regulation of msln Expression in Colorectal Adenocarcinoma by Junhua Li, null Bulin Baila, Tian Xiang Xu, Jiang Song, null Su Rina, Ji Wu, Tegexibaiyin Wang

“…Furthermore, in 48 h RTCA real-time monitoring experiment, mir-145-5p showed inhibitory effect on the proliferation of colo320 cells stimulated by msln. …”
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