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@article{186588,
        author = {Vijayashankaran K and Gayathri R and Vijayabalan J and Vijay Kumar U},
        title = {DNA SEQUENCE CLASSIFIER-INTELLIGENE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1289-1296},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186588},
        abstract = {The increase in genetic information lately opened doors - but also challenges - for researchers and medical experts. Old-school methods usually hard to catch the complex links hidden in DNA strings. Here’s where INTELLIGENE steps in: a tool that sorts DNA photos by combining CNNs, BiLSTMs[3], and Transformers - no manual feature extraction needed. Built on TensorFlow, it runs through a Flask-powered website, giving instant feedback on gene-linked illnesses. On top of predictions, it shows how decisions are made using SHAP scores and   attention maps - making outcomes clearer, not just accurate. Tests show it gets things right about 98% of the time - better than most current methods that use machine learning. Instead of just spotting patterns, this tool combines smart algorithms with medical advice, so doctors can make quicker calls based on genetic data; because it’s built to grow easily and makes its reasoning clear, clinics might actually trust and adopt it without much hassle.},
        keywords = {Deep learning, DNA Sequence classification, CNN-BiLSTM, Transformer, Genomic Prediction, Explainable AI, Bioinformatics, Precision Medicine.},
        month = {November},
        }