Journal of Data Mining in Genomics & Proteomics

Commentary

AI-Driven Feature Selection for Identifying Prognostic Genes in Breast Cancer

• Rebecca Smith*

Perspective

Comparative Analysis of Gene Co-Expression Networks Across Species Using Machine Learning

• Kenji Saito*

Short Communication

Deep Learning Approaches for Predicting Gene Expression Patterns in Cancer Genomes

• Emily Johnson*

Commentary

Ensemble Learning for Integrative Multi-Omics Modeling in Personalized Cancer Treatment

• Jonathan Miller*

Commentary

Integrative Data Mining for Biomarker Discovery in Neurodegenerative Diseases

• Thomas Schafer*

Commentary

Mining Multi-Omics Datasets to Reveal Drug-Target Interactions in Personalized Medicine

• Aylin Kaya*

Opinion Article

Multi-Omics Data Integration Using Ensemble Learning for Precision Oncology

• Elizabeth Turner*

Commentary

Network-Based Analysis of Protein-Protein Interactions in Rare Genetic Disorders

• Mei Lin*

Perspective

Predictive Modeling of MicroRNA–mRNA Interactions Using Graph Neural Networks

• Michael Anderson*

Opinion Article

Time-Series Proteomic Data Mining for Early Disease Diagnosis and Prognosis

• Chen Rong*