Clinically relevant genetic variants of drug-metabolizing enzyme and transporter genes detected in Thai children and adolescents with autism spectrum disorder by Medhasi S, Pasomsub E, Vanwong N, Ngamsamut N, Puangpetch A, Chamnanphon M, Hongkaew Y, Limsila P, Pinthong D, Sukasem C

Get full text

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

Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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

“…Although many methods, both public and commercial, have been developed, the problem of identifying networks of interactions that are most relevant to the given input data still remains an open issue. Here, we have leveraged the method of random walks on graphs as a powerful platform for scoring network components based on simultaneous assessment of the experimental data as well as local network connectivity. …”
Get full text

SMART: unique splitting-while-merging framework for gene clustering. by Rui Fa, David J Roberts, Asoke K Nandi

“…Moreover, two real microarray gene expression datasets are studied using this approach. …”
Get full text

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. …”
Get full text

c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's disease. by Sherlyn Jemimah, Ferial Abuhantash, Aamna AlShehhi

“…Alzheimer's disease (AD) is a neurodegenerative disorder that requires early diagnosis for effective management. However, issues with currently available diagnostic biomarkers preclude early diagnosis, necessitating the development of alternative biomarkers and methods, such as blood-based diagnostics. …”
Get full text