to download project abstract of genetic cancer tests

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ABSTRACT

We provide genetic cancer tests in this paper.

Genes play a pivotal role in the genesis of tumors, commonly known as cancer, exerting control over fundamental cellular processes. Dysfunctional genes impede mechanisms like apoptosis while promoting excessive cell division, leading to the onset and progression of cancer. Each gene’s expression level serves as a marker, delineating the cancer’s advancement, its tissue or organ origin, and the projected course of action. Analyzing these gene expression values via traditional machine learning methods demonstrates heightened efficiency and accuracy in uncovering crucial gene relationships, potentially revolutionizing cancer diagnosis based on these genetic markers.

However, the challenge lies in efficiently computing the most impactful genes for specific cancer types using their expression values, unraveling potential correlations between them for each cancer subtype. This extraction of key features provides critical insights into gene behaviors specific to different types of cancer.

The next phase involves visualizing these essential genes. so Researchers leverage traditional Python packages like Scikit-plot, Matplotlib, and Seaborn to craft insightful visualizations, providing a comprehensive understanding of gene interactions and their significance in cancer progression. Additionally, the power of data visualization is harnessed through Tableau, a robust tool that helps project and illustrate the analysis results in a more interactive and comprehensible format.

thus This integrated approach—employing advanced machine learning for feature extraction and leveraging diverse visualization tools—facilitates a comprehensive understanding of gene behavior in various cancer types. so By visualizing the extracted influential genes, researchers and medical professionals gain critical insights into the intricate relationships between these genes, potentially paving the way for more accurate and targeted cancer diagnostics and treatments.

GENE EXPRESSION ANALYSIS ON  CANCER DATASET - genetic cancer tests
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