Machine Learning Methods Enable Predictive Modeling of Antibody Feature:Function Relationships in RV144 Vaccinees

Ickwon Choi; Amy W. Chung; Todd J. Suscovich; Supachai Rerks-Ngarm; Punnee Pitisuttithum; Sorachai Nitayaphan; Jaranit Kaewkungwal; Robert J. O'Connell; Donald Francis; Merlin L. Robb; Nelson L. Michael; Jerome H. Kim; Galit Alter; Margaret E. Ackerman; Chris Bailey-Kellogg

doi:10.1371/journal.pcbi.1004185

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Peer-reviewed

Research Article

Machine Learning Methods Enable Predictive Modeling of Antibody Feature:Function Relationships in RV144 Vaccinees

Ickwon Choi,

Affiliation Department of Computer Science, Dartmouth College, Hanover, New Hampshire, United States of America
⨯
Amy W. Chung,

Affiliation Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard, Boston, Massachusetts, United States of America
⨯
Todd J. Suscovich,

Affiliation Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard, Boston, Massachusetts, United States of America
⨯
Supachai Rerks-Ngarm,

Affiliation Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand
⨯
Punnee Pitisuttithum,

Affiliation Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
⨯
Sorachai Nitayaphan,

Affiliation Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand
⨯
Jaranit Kaewkungwal,

Affiliation Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
⨯
Robert J. O'Connell,

Affiliation Department of Retrovirology, U.S. Army Medical Component, AFRIMS, Bangkok, Thailand
⨯
Donald Francis,

Affiliation Global Solutions for Infectious Diseases (GSID), South San Francisco, California, United States of America
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Merlin L. Robb,

Affiliations US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America, Henry Jackson Foundation HIV Program, US Military HIV Research Program, Bethesda, Maryland, United States of America
⨯
Nelson L. Michael,

Affiliation US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
⨯
Jerome H. Kim,

Affiliation US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
⨯
Galit Alter,

Affiliation Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard, Boston, Massachusetts, United States of America
⨯
Margaret E. Ackerman,

Affiliation Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, United States of America
⨯
Chris Bailey-Kellogg

* E-mail: cbk@cs.dartmouth.edu

Affiliation Department of Computer Science, Dartmouth College, Hanover, New Hampshire, United States of America
⨯

Machine Learning Methods Enable Predictive Modeling of Antibody Feature:Function Relationships in RV144 Vaccinees

Ickwon Choi,
Amy W. Chung,
Todd J. Suscovich,
Supachai Rerks-Ngarm,
Punnee Pitisuttithum,
Sorachai Nitayaphan,
Jaranit Kaewkungwal,
Robert J. O'Connell,
Donald Francis,
Merlin L. Robb

Published: April 13, 2015
https://doi.org/10.1371/journal.pcbi.1004185

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Figure 4: Seeking an explanation

Posted by josephmatthew on 15 May 2015 at 19:00 GMT

Figure 4 C and Figure 4 E are identical-each and every dot matches between Filtered and PCA data whereas teh Dot and Whiskers plots are different!

No competing interests declared.

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Machine Learning Methods Enable Predictive Modeling of Antibody Feature:Function Relationships in RV144 Vaccinees

Machine Learning Methods Enable Predictive Modeling of Antibody Feature:Function Relationships in RV144 Vaccinees

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Figure 4: Seeking an explanation

Posted by josephmatthew on 15 May 2015 at 19:00 GMT