Seminar Paper

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Title

BINARY GRAVITATIONAL SEARCH ALGORITHM: A NEW FEATURE SELECTION METHOD FOR QSAR STUDY OF ANTICANCER POTENCY OF CHALCONES DERIVATIVES

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Abstract

 CHOOSING THE MOST SUITABLE SUBSET OF DESCRIPTORS AMONG A LARGE NUMBER OF STRUCTURAL PARAMETERS IS ONE OF THE MOST IMPORTANT AND CHALLENGING STEPS IN QUANTITATIVE STRUCTURE–ACTIVITY RELATIONSHIP (QSAR) STUDIES. SO FAR, MANY FEATURE SELECTION ALGORITHMS HAVE BEEN APPLIED IN THESE STUDIES, BUT NONE OF THEM BEHAVE GENERALLY.....

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