Research Articles
Graph Neural Networks for Cancer Driver Gene Identification: Methods, Applications, and Future Directions
The identification of cancer driver genes is crucial for understanding tumorigenesis and developing targeted therapies.
Conquering High-Dimensionality in Gene Expression Data: From Foundational Concepts to Advanced AI Applications
This article provides a comprehensive guide for researchers and drug development professionals tackling the challenges of high-dimensional gene expression data from microarrays and single-cell RNA sequencing.
Convolutional Neural Networks for DNA Sequence Classification: From Fundamentals to Advanced Applications in Genomics
This article provides a comprehensive exploration of Convolutional Neural Networks (CNNs) for DNA sequence classification, addressing researchers, scientists, and drug development professionals.
Advancing Genomic Analysis: A Comprehensive Guide to Hybrid LSTM-CNN Models
Hybrid models combining Long Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNN) represent a transformative approach in genomic sequence analysis.
Navigating the Labyrinth: Decoding Genetic Heterogeneity to Revolutionize Cancer Detection
This article synthesizes current research on the profound challenges that genetic heterogeneity poses for accurate cancer detection.
Beyond the Sequence: Harnessing cfDNA Biomarkers for Early-Static Cancer Detection
This article provides a comprehensive overview of the rapidly evolving landscape of cell-free DNA (cfDNA) biomarkers for early-stage cancer detection.
Machine Learning in Genomic Cancer Data: From Big Data to Precision Oncology
This article provides a comprehensive introduction to machine learning (ML) applications in genomic cancer data, tailored for researchers, scientists, and drug development professionals.
Microarrays vs RNA-Seq: A Strategic Guide to Cancer Biomarker Discovery
This article provides a comprehensive comparison of DNA microarrays and RNA sequencing (RNA-Seq) for cancer biomarker discovery, tailored for researchers and drug development professionals.
From In Silico to In Vitro: A Comprehensive Guide to Validating Pharmacophore Hits with Experimental Testing
This article provides a comprehensive framework for researchers and drug development professionals on the critical process of validating pharmacophore models and their virtual screening hits.
A Comprehensive Comparative Guide to Pharmacophore Modeling Software in 2025
This article provides a comprehensive comparative analysis of pharmacophore modeling software tools, a critical technology in modern computer-aided drug design.