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SeungYeoun Lee

Showing results (1-10 of 49) with videos related to

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Genomics & Informatics|January 4, 2020
Review of statistical methods for survival analysis using genomic dataSeungyeoun Lee, Heeju Lim
Biodata Mining|March 2, 2021
A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotypeJung Wun Lee, Seungyeoun Lee
Bioinformatics (Oxford, England)|September 3, 2016
A unified model based multifactor dimensionality reduction framework for detecting gene-gene interactionsWenbao Yu, Seungyeoun Lee, Taesung Park
BMC Bioinformatics|September 28, 2011
A comparative study on gene-set analysis methods for assessing differential expression associated with the survival phenotypeSeungyeoun Lee, Jinheum Kim, Sunho Lee
Genomics & Informatics|July 6, 2022
Comparison of survival prediction models for pancreatic cancer: Cox model versus machine learning modelsHyunsuk Kim, Taesung Park, Jinyoung Jang, et al.
Genomics & Informatics|February 4, 2017
Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction MethodSeungyeoun Lee, Donghee Son, Wenbao Yu, et al.
Biomed Research International|May 29, 2020
Gene-Gene Interaction Analysis for the Survival Phenotype Based on the Kaplan-Meier Median EstimateMira Park, Jung Wun Lee, Taesung Park, et al.
The Psychiatric Quarterly|August 6, 2005
Assailant and victim behaviors immediately preceding inpatient assaultMartha L Crowner, Gordana Peric, Franko Stepcic, et al.
BMC Medical Genomics|April 27, 2018
Exact association test for small size sequencing dataJoowon Lee, Seungyeoun Lee, Jin-Young Jang, et al.
Bioinformatics (Oxford, England)|May 18, 2006
Combining multiple microarrays in the presence of controlling variablesTaesung Park, Sung-Gon Yi, Young Kee Shin, et al.
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
Genomics & Informatics|January 4, 2020
Review of statistical methods for survival analysis using genomic dataSeungyeoun Lee, Heeju Lim
Biodata Mining|March 2, 2021
A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotypeJung Wun Lee, Seungyeoun Lee
Bioinformatics (Oxford, England)|September 3, 2016
A unified model based multifactor dimensionality reduction framework for detecting gene-gene interactionsWenbao Yu, Seungyeoun Lee, Taesung Park
BMC Bioinformatics|September 28, 2011
A comparative study on gene-set analysis methods for assessing differential expression associated with the survival phenotypeSeungyeoun Lee, Jinheum Kim, Sunho Lee
Genomics & Informatics|July 6, 2022
Comparison of survival prediction models for pancreatic cancer: Cox model versus machine learning modelsHyunsuk Kim, Taesung Park, Jinyoung Jang, et al.
Genomics & Informatics|February 4, 2017
Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction MethodSeungyeoun Lee, Donghee Son, Wenbao Yu, et al.
Biomed Research International|May 29, 2020
Gene-Gene Interaction Analysis for the Survival Phenotype Based on the Kaplan-Meier Median EstimateMira Park, Jung Wun Lee, Taesung Park, et al.
The Psychiatric Quarterly|August 6, 2005
Assailant and victim behaviors immediately preceding inpatient assaultMartha L Crowner, Gordana Peric, Franko Stepcic, et al.
BMC Medical Genomics|April 27, 2018
Exact association test for small size sequencing dataJoowon Lee, Seungyeoun Lee, Jin-Young Jang, et al.
Bioinformatics (Oxford, England)|May 18, 2006
Combining multiple microarrays in the presence of controlling variablesTaesung Park, Sung-Gon Yi, Young Kee Shin, et al.
Pageof 5