DOI: Key therapeutic targets implicated at the early stage of hepatocellular carcinoma identified through machine-learning approaches

DOI: A diagnostic miRNA panel to detect recurrence of ovarian cancer through artificial intelligence approaches

DOI: Panels of mRNAs and miRNAs for decoding molecular mechanisms of Renal Cell Carcinoma (RCC) subtypes utilizing Artificial Intelligence approaches

DOI: A self-organizing deep neuro-fuzzy system approach for classification of kidney cancer subtypes using miRNA genomics data

DOI: The Self-Organizing Restricted Boltzmann Machine for Deep Representation with the Application on Classification Problems

DOI: A Self-organizing Deep Auto-Encoder approach for Classification of Complex Diseases using SNP Genomics Data

DOI: Unraveling the link between PTBP1 and severe asthma through machine learning and association rule mining method

DOI: Uncovering key molecular mechanisms in the early and late-stage of papillary thyroid carcinoma using association rule mining algorithm

DOI: Machine learning as new promising technique for selection of significant features in obese women with type 2 diabetes

DOI: Introducing effective genes in lymph node metastasis of breast cancer patients using SHAP values based on the mRNA expression data

DOI: Decoding the Possible Molecular Mechanisms in Pediatric Wilms Tumor and Rhabdoid Tumor of the Kidney through Machine Learning Approaches

DOI: An update on Glycerophosphodiester Phosphodiesterases; From Bacteria to Human