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Anti-cancer Drug Response Prediction System Using Stacked Ensemble Approach

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Inventive Systems and Control

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 436))

Abstract

Sudden cell elongation is one of the major problems in cancer analysis. Inhibitory concentration’s (IC50) effect is an important solution in cancer recovery. So, in cancer analysis, drug response prediction is based on the inhibitory concentration (IC50) which depends upon the cell line and drug line similarity analysis. This research plans to improve the “early drug response prediction” and maintains the cell stability. This in turn reflects in the cell line recovery. To obtain this, two additional parameters like mechanical and electrical are added in drug line. This increases the inhibitory concentration, avoiding cell elongation, and maintaining the cell stability. The stacked ensemble machine learning algorithm is used for this purpose. In this ensemble algorithm, random forest, linear regression, and Gaussian Naïve Bayes are stacked and enhanced with the voting average method. The efficiency level obtained in this research is 97.5%. The dataset is taken from GDSC and GCLE for the experimentation.

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Acknowledgements

This research is funded by the Indian Council of Medical Research (ICMR). (Sanction no: ISRM/12(125)/2020 ID NO.2020-5128 dated 10/01/21)

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Authors and Affiliations

  1. Department of Computer Science & Engineering, School of Computing, Hindustan Institute of Technology and Science, Chennai, India

    P. Selvi Rajendran & K. R. Kartheeswari

Authors
  1. P. Selvi Rajendran
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  2. K. R. Kartheeswari
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Corresponding author

Correspondence to P. Selvi Rajendran .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Design, Dayananda Sagar College of Engineering, Bengaluru, India

    V. Suma

  2. School of Information Technology, Deakin University, Geelong, VIC, Australia

    Zubair Baig

  3. Department of Mathematics and Computer Science, Ashland University, Wilmington, NC, USA

    Selvanayaki Kolandapalayam Shanmugam

  4. University of Haute Alsace, Alsace, France

    Pascal Lorenz

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Rajendran, P.S., Kartheeswari, K.R. (2022). Anti-cancer Drug Response Prediction System Using Stacked Ensemble Approach. In: Suma, V., Baig, Z., Kolandapalayam Shanmugam, S., Lorenz, P. (eds) Inventive Systems and Control. Lecture Notes in Networks and Systems, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-19-1012-8_14

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