A method for predicting essential proteins using gene expression data

Essential proteins are important for cell development and survival for an organism. Proteins are nothing but chain of amino acids. Amino acids are of three types-essential, non-essential and conditional. Essential proteins are nothing but a chain of essential amino acids which are to be predicted. Traditionally, many methods have been used to identify essential proteins, which are time consuming, need effortful experiment approach and noxious to the organisms targeted. In this work, two approaches - Mean Weighted Average (MWA) and Recursive Feature Elimination (RFE) is used, this approach will not ignore any values though the duplications. Accuracy using Recursive Feature Elimination must be more than Mean Weighted Average.