Journal of Proteomics & Bioinformatics
Open Access

Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, India

Publications

• Review Article   
  Liver Cancer Key Genes Identification
  Author(s): Ashitha Ebrahim* and Joby George
  
  Liver diseaseis perhaps the deadliest malignant growth on the planet. In momentum contemplates, the capabilities for being chosen as key qualities in illnesses is bit low, constraining the precision of the anticipated key qualities in infections. To distinguish the key qualities of liver malignant growth with high exactness, and coordinated different microarray quality articulation datasets identified with the liver disease utilized. At that point recognize their basic DEGs (Differentially Expressed Genes) which will bring about more exact than those from the individual dataset. The datasets are on the whole human microarray quality articulation information recovered from the GEO (Gene Expression Omnibus) database and need to discover differentially communicated qualities among wellbeing and liver malignancy conditions. In light of these qualities, a protein-prote.. View More»
  DOI: 10.35248/0974-276X.21.14.531

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