E-LIB Suche - Ergebnisse für: Ickwon Choi

1

A Hybrid Approach to Survival Model Building Using Integrat..:

Ickwon Choi ; Kattan, M. W. ; Wells, B. J..
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9 (2012) 4 - p. 1091-1105 , 2012

Link: https://doi.org/10.1109/..

2

New insight into gut microbiota-derived metabolites to enha..:

Oh, Ki-Kwang ; Choi, Ickwon ; Gupta, Haripriya...
Artificial Cells, Nanomedicine, and Biotechnology. 51 (2022) 1 - p. 1-12 , 2022

Link: https://doi.org/10.1080/..

3

Machine Learning Methods Enable Predictive Modeling of Anti..:

Choi, Ickwon ; Chung, Amy W. ; Suscovich, Todd J....
PLOS Computational Biology. 11 (2015) 4 - p. e1004185 , 2015

Link: https://doi.org/10.1371/..

4

High-throughput, multiplexed IgG subclassing of antigen-spe..:

Brown, Eric P. ; Licht, Anna F. ; Dugast, Anne-Sophie...
Journal of Immunological Methods. 386 (2012) 1-2 - p. 117-123 , 2012

Link: https://doi.org/10.1016/..

5

A Hybrid Approach to Survival Model Building Using Integrat..:

Choi, Ickwon ; Kattan, Michael W. ; Wells, Brian J..
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB). 9 (2012) 4 - p. 1091-1105 , 2012

Link: https://dl.acm.org/doi/1..

6

An empirical approach to model selection through validation..:

Choi, Ickwon ; Wells, Brian J. ; Yu, Changhong.
Journal of Biomedical Informatics. 44 (2011) 4 - p. 595-606 , 2011

Link: https://doi.org/10.1016/..

7

New insight into gut microbiota-derived metabolites to enha..:

Ki-Kwang Oh ; Ickwon Choi ; Haripriya Gupta...
https://www.tandfonline.com/doi/10.1080/21691401.2022.2155661. , 2023

Link: https://doi.org/10.1080/..

8

Machine learning methods enable predictive modeling of anti..:

Ickwon Choi ; Amy W Chung ; Todd J Suscovich...
http://europepmc.org/articles/PMC4395155?pdf=render. , 2015

Link: https://doi.org/10.1371/..

9

Machine Learning Methods Enable Predictive Modeling of Anti..:

Choi, Ickwon ; Chung, Amy W ; Suscovich, Todd J...
https://digitalcommons.dartmouth.edu/facoa/2900. , 2015

Link: https://digitalcommons.d..

10

Machine Learning Methods Enable Predictive Modeling of Anti..:

Choi, Ickwon ; Chung, Amy W ; Suscovich, Todd J...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395155/. , 2015

Link: http://www.ncbi.nlm.nih...

11

Machine Learning Methods Enable Predictive Modeling of Anti..:

Choi, Ickwon ; Chung, Amy W ; Suscovich, Todd J...
http://dx.doi.org/10.1371/journal.pcbi.1004185. , 2014

Link: http://hdl.handle.net/17..

12

Divergent Antibody Subclass and Specificity Profiles but No..:

Lai, Jennifer I ; Licht, Anna F ; Dugast, Anne-Sophie...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC. , 2014

Link: http://www.ncbi.nlm.nih...

13

Natural variation in Fc glycosylation of HIV-specific antib..:

Ackerman, Margaret E ; Crispin, Max ; Yu, Xiaojie...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3637034. , 2013

Link: http://www.ncbi.nlm.nih...

14

Divergent Antibody Subclass and Specificity Profiles but No..:

Lai, Jennifer I ; Licht, Anna F ; Dugast, Anne-Sophie...
https://digitalcommons.dartmouth.edu/facoa/1295. , 2013

Link: https://digitalcommons.d..

15

Natural Variation in Fc Glycosylation of HIV-Specific Antib..:

Ackerman, Margaret E ; Crispin, Max ; Yu, Xiaojie...
https://digitalcommons.dartmouth.edu/facoa/3595. , 2013

Link: https://digitalcommons.d..