Skip to main content

Main menu

  • Home
  • Content
    • Current Issue
    • Past Issues
    • Accepted Articles
    • Email Alerts
    • RSS
    • Terms of Use
  • About PDA JPST
    • JPST Editors and Editorial Board
    • About/Vision/Mission
    • Paper of the Year
  • Author & Reviewer Resources
    • Author Resources / Submit
    • Reviewer Resources
  • JPST Access and Subscriptions
    • PDA Members
    • Institutional Subscriptions
    • Nonmember Access
  • Support
    • Join PDA
    • Contact
    • Feedback
    • Advertising
    • CiteTrack
  • .
    • Visit PDA
    • PDA Letter
    • Technical Reports
    • news uPDATe
    • Bookstore

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
PDA Journal of Pharmaceutical Science and Technology
  • .
    • Visit PDA
    • PDA Letter
    • Technical Reports
    • news uPDATe
    • Bookstore
  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart
PDA Journal of Pharmaceutical Science and Technology

Advanced Search

  • Home
  • Content
    • Current Issue
    • Past Issues
    • Accepted Articles
    • Email Alerts
    • RSS
    • Terms of Use
  • About PDA JPST
    • JPST Editors and Editorial Board
    • About/Vision/Mission
    • Paper of the Year
  • Author & Reviewer Resources
    • Author Resources / Submit
    • Reviewer Resources
  • JPST Access and Subscriptions
    • PDA Members
    • Institutional Subscriptions
    • Nonmember Access
  • Support
    • Join PDA
    • Contact
    • Feedback
    • Advertising
    • CiteTrack
  • Follow pda on Twitter
  • Visit PDA on LinkedIn
  • Visit pda on Facebook
Research ArticleCase Studies

Phase-Incremental Decision Trees for Multi-Phase Feature Selection and Interaction in Biologics Manufacturing

Nolan Gunter, Yang Tang, Jonathan Ritscher and Yiming Peng
PDA Journal of Pharmaceutical Science and Technology March 2025, 79 (2) 193-207; DOI: https://doi.org/10.5731/pdajpst.2024-003020
Nolan Gunter
1Genentech, Inc., 620 E Grand Ave., South San Francisco, CA;
4Biostatistics, Berkeley School of Public Health, University of California, 2121 Berkeley Way West, Berkeley, CA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yang Tang
2Hoffmann-La Roche Limited, 7070 Mississauga Rd., Mississauga, ON L5N 5M8, Canada;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jonathan Ritscher
3F. Hoffmann-La Roche AG, Gartenstrasse 9, 4052 Basel, Switzerland; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yiming Peng
1Genentech, Inc., 620 E Grand Ave., South San Francisco, CA;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: peng.yiming@gene.com
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

References

  1. 1.↵
    1. Charaniya S.,
    2. Hu W.-S.,
    3. Karypis G.
    Mining Bioprocess Data: opportunities and Challenges. Trends Biotechnol. 2008, 26 (12), 690–699.
    OpenUrlCrossRefPubMedWeb of Science
  2. 2.↵
    1. Song F.,
    2. Guo Z.,
    3. Mei D.
    Feature Selection Using Principal Component Analysis. Proceedings of the International Conference on System Science, Engineering Design and Manufacturing Informatization, Yichang, China, Nov 12–14, 2010; pp 27–30.
  3. 3.↵
    1. Maitra S.,
    2. Yan J.
    Principle Component Analysis and Partial Least Squares: Two Dimension Reduction Techniques for Regression. Casualty Actuarial Society Discussion Paper Program 2008, 79–90.
  4. 4.↵
    1. Rönkkö M.,
    2. Mcintosh C. N.,
    3. Antonakis J.
    On the Adoption of Partial Least Squares in Psychological Research: Caveat Emptor. Pers. Individ. Differ. 2015, 87 76–84.
    OpenUrl
  5. 5.↵
    1. Goswami S.,
    2. Chakrabarti A.
    Feature Selection: A Practitioner View. Int. J. Inf. Technol. Comput. Sci. 2014, 6 (11), 66–77.
    OpenUrl
  6. 6.↵
    1. Cheng J.,
    2. Sun J.,
    3. Yao K.,
    4. Xu M.,
    5. Cao Y.
    A Variable Selection Method Based on Mutual Information and Variance Inflation Factor. Spectrochim. Acta, Part A 2022, 268, 120652.
    OpenUrl
  7. 7.↵
    1. Choi Y,
    2. Darwiche A.,
    3. Van den Broeck G.
    Optimal Feature Selection for Decision Robustness in Bayesian Networks. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, Melbourne, Australia, Aug 19–25, 2017; 1554–1560.
  8. 8.↵
    1. Baranauskas J. A.,
    2. Netto O. P.,
    3. Nozawa S. R.,
    4. Macedo A. A.
    A Tree-Based Algorithm for Attribute Selection. Appl. Intell. 2018, 48 (4), 821–833.
    OpenUrl
  9. 9.↵
    1. Friedman J. H.
    Greedy Function Approximation: A Gradient Boosting Machine. Ann. Statist. 2001, 29 (5), 1189–1232.
    OpenUrlCrossRef
  10. 10.↵
    1. Natekin A.,
    2. Knoll A.
    Gradient Boosting Machines, a Tutorial. Front. Neurorobot. 2013, 7 (1), 21.
    OpenUrlPubMed
  11. 11.↵
    1. Konstantinov A. V.,
    2. Utkin L. V.
    Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines. Knowl.-Based Syst. 2021, 222, 106993,
    OpenUrl
  12. 12.↵
    1. Altmann A.,
    2. Toloşi L.,
    3. Sander O.,
    4. Lengauer T.
    Permutation Importance: A Corrected Feature Importance Measure. Bioinformatics 2010, 26 (10), 1340–1347.
    OpenUrlCrossRefPubMedWeb of Science
  13. 13.↵
    1. Charaniya S.,
    2. Le H.,
    3. Rangwala H.,
    4. Mills K.,
    5. Johnson K.,
    6. Karypis G.,
    7. Hu W.-S.
    Mining Manufacturing Data for Discovery of High Productivity Process Characteristics. J. Biotechnol. 2010, 147 (3-4), 186–197.
    OpenUrlPubMed
  14. 14.↵
    1. Kramer O.
    Dimensionality Reduction with Unsupervised Nearest Neighbors, Springer: Berlin Heidelberg, 2013.
  15. 15.↵
    1. Köppen M.
    The Curse of Dimensionality. 5th Online World Conference on Soft Computing In Industrial Applications 2000, 4–8.
  16. 16.↵
    1. van der Laan M. J.,
    2. Polley E. C.,
    3. Hubbard A. E.
    Super Learner. Stat. Appl. Genet. Mol. Biol. 2007, 6 (1), 25.
    OpenUrl
  17. 17.↵
    1. Goldstein A.,
    2. Kapelner A.,
    3. Bleich J.,
    4. Pitkin E.
    Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation. J. Comput. Graphical Stat. 2015, 24 (1), 44–65.
    OpenUrl
  18. 18.↵
    1. Kern S.,
    2. Platas-Barradas O.,
    3. Pörtner R.,
    4. Frahm B.
    Model-Based Strategy for Cell Culture Seed Train Layout Verified at Lab Scale. Cytotechnology 2016, 68 (4), 1019–1032.
    OpenUrlPubMed
  19. 19.↵
    1. Li F.,
    2. Vijayasankaran N.,
    3. Shen A.,
    4. Kiss R.,
    5. Amanullah A.
    Cell Culture Processes for Monoclonal Antibody Production. mAbs 2010, 2 (5), 466–479.
    OpenUrlCrossRefPubMedWeb of Science
  20. 20.↵
    1. Li J.,
    2. Wong C. L.,
    3. Vijayasankaran N.,
    4. Hudson T.,
    5. Amanullah A.
    Feeding Lactate for CHO Cell Culture Processes: impact on Culture Metabolism and Performance. Biotechnol. Bioeng. 2012, 109 (5), 1173–1186.
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In This Issue

PDA Journal of Pharmaceutical Science and Technology: 79 (2)
PDA Journal of Pharmaceutical Science and Technology
Vol. 79, Issue 2
March/April 2025
  • Table of Contents
  • Index by Author
  • Complete Issue (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on PDA Journal of Pharmaceutical Science and Technology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Phase-Incremental Decision Trees for Multi-Phase Feature Selection and Interaction in Biologics Manufacturing
(Your Name) has sent you a message from PDA Journal of Pharmaceutical Science and Technology
(Your Name) thought you would like to see the PDA Journal of Pharmaceutical Science and Technology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
1 + 4 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Phase-Incremental Decision Trees for Multi-Phase Feature Selection and Interaction in Biologics Manufacturing
Nolan Gunter, Yang Tang, Jonathan Ritscher, Yiming Peng
PDA Journal of Pharmaceutical Science and Technology Mar 2025, 79 (2) 193-207; DOI: 10.5731/pdajpst.2024-003020

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Phase-Incremental Decision Trees for Multi-Phase Feature Selection and Interaction in Biologics Manufacturing
Nolan Gunter, Yang Tang, Jonathan Ritscher, Yiming Peng
PDA Journal of Pharmaceutical Science and Technology Mar 2025, 79 (2) 193-207; DOI: 10.5731/pdajpst.2024-003020
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • 1. Introduction
    • 2. Materials/Methods
    • 3. Discussion
    • 4. Conclusion
    • Conflict of Interest Declaration
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Practical Application of Setting up an Annual Contamination Control Strategy (CCS) Assessment
  • A Risk Assessment and Risk Based Approach Review of Pre-use/Post Sterilization Integrity Testing (PUPSIT)
Show more Case Studies

Similar Articles

Keywords

  • feature selection
  • machine learning
  • statistical analysis
  • cell culture process
  • biologics manufacturing
  • tree-based methods

Readers

  • About
  • Table of Content Alerts/Other Alerts
  • Subscriptions
  • Terms of Use
  • Contact Editors

Author/Reviewer Information

  • Author Resources
  • Submit Manuscript
  • Reviewers
  • Contact Editors

Parenteral Drug Association, Inc.

  • About
  • Advertising/Sponsorships
  • Events
  • PDA Bookstore
  • Press Releases

© 2025 PDA Journal of Pharmaceutical Science and Technology Print ISSN: 1079-7440  Digital ISSN: 1948-2124

Powered by HighWire