Research Articles
Comprehensive Genomic Profiling in Oncology: From Diagnostic Revolution to Therapeutic Precision
Comprehensive genomic profiling (CGP) represents a paradigm shift in cancer diagnostics, moving beyond single-gene testing to simultaneously analyze hundreds of cancer-related genes and genomic signatures.
DNA Sequence Representation Methods: A Comparative Analysis for Biomedical Research and Clinical Applications
This article provides a comprehensive comparative analysis of DNA sequence representation methods, tracing their evolution from foundational computational techniques to advanced AI-driven models.
Filter vs. Wrapper Feature Selection: A Comparative Guide for Biomedical Data Analysis
This article provides a comprehensive comparative analysis of filter and wrapper feature selection methods, tailored for researchers and professionals in drug development and biomedical sciences.
Cross-Validation Strategies for Genomic Cancer Classifiers: A Guide for Robust Model Development
This article provides a comprehensive guide to cross-validation (CV) strategies for developing and validating machine learning models in genomic cancer classification.
Optimizing Cancer Driver Gene Discovery: A Comprehensive Evaluation of Feature Selection Methods for Precision Oncology
The identification of cancer driver genes is fundamental to understanding oncogenesis and developing targeted therapies.
From Data to Diagnosis: A Roadmap for Clinically Validating cfDNA Machine Learning Models
The integration of machine learning (ML) with cell-free DNA (cfDNA) analysis holds transformative potential for non-invasive cancer detection, therapy selection, and monitoring.
Controlling Confounders in Cancer Detection Models: A Comprehensive Guide to Robust Validation and Clinical Translation
This article provides a comprehensive framework for researchers, scientists, and drug development professionals on managing confounding factors during the validation of cancer detection models.
Beyond the Data Desert: Innovative Strategies to Overcome Scarcity in Medical Genomics Research
This article addresses the critical challenge of data scarcity in medical genomics, a major bottleneck hindering drug discovery and precision medicine.
Overcoming the Low ctDNA Fraction Barrier: Advanced Strategies for Early Cancer Detection and MRD Monitoring
The analysis of circulating tumor DNA (ctDNA) has transformative potential for early cancer detection and minimal residual disease (MRD) monitoring.
Overcoming Data Scarcity: Practical Strategies for Optimizing Deep Learning on Small-Sample Genomic Data
The application of deep learning (DL) in genomics holds immense promise for revolutionizing disease prediction and personalized medicine.