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  "Package": "TSGS",
  "Title": "Trait Specific Gene Selection using Support Vector Machine and\nGenetic Algorithm",
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  "Authors@R": "c(person(\"Md. Samir\", \"Farooqi\", email = \"ms.Farooqi@icar.gov.in\", role = \"aut\"),\nperson(\"K.K.\", \"Chaturvedi\", email = \"kk.Chaturvedi@icar.gov.in\", role = \"aut\"),\nperson(\"D.C.\", \"Mishra\", email = \"Dwijesh.Mishra@icar.gov.in\", role = \"aut\"),\nperson(\"Sudhir\", \"Srivastava\", email = \"Sudhir.Srivastava@icar.gov.in\", role = c(\"cre\",\"aut\")))",
  "Description": "Obtaining relevant set of trait specific genes from gene\nexpression data is important for clinical diagnosis of disease\nand discovery of disease mechanisms in plants and animals. This\nprocess involves identification of relevant genes and removal\nof redundant genes as much as possible from a whole gene set.\nThis package returns the trait specific gene set from the high\ndimensional RNA-seq count data by applying combination of two\nconventional machine learning algorithms, support vector\nmachine (SVM) and genetic algorithm (GA). GA is used to control\nand optimize the subset of genes sent to the SVM for\nclassification and evaluation. Genetic algorithm uses repeated\nlearning steps and cross validation over number of possible\nsolution and selects the best. The algorithm selects the set of\ngenes based on a fitness function that is obtained via support\nvector machines. Using SVM as the classifier performance and\nthe genetic algorithm for feature selection, a set of trait\nspecific gene set is obtained.",
  "License": "GPL-2 | GPL-3",
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  "Date/Publication": "2021-08-27 07:30:22 UTC",
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  "Author": "Md. Samir Farooqi [aut],\nK.K. Chaturvedi [aut],\nD.C. Mishra [aut],\nSudhir Srivastava [cre, aut]",
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