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Haseong Kim

Showing results (1-10 of 67) with videos related to

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Genomics & Informatics|January 4, 2020
AI, big data, and robots for the evolution of biotechnologyHaseong Kim
Bioinformatics (Oxford, England)|November 21, 2007
Clustering of change patterns using Fourier coefficientsJaehee Kim, Haseong Kim
BMC Bioinformatics|October 14, 2017
Partitioning of functional gene expression data using principal pointsJaehee Kim, Haseong Kim
BMC Genomics|December 5, 2009
Anomaly detection in gene expression via stochastic models of gene regulatory networksHaseong Kim, Erol Gelenbe
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 7, 2011
Stochastic gene expression modeling with Hill function for switch-like gene responsesHaseong Kim, Erol Gelenbe
IEEE Transactions on Nanobioscience|September 19, 2012
Reconstruction of large-scale gene regulatory networks using Bayesian model averagingHaseong Kim, Erol Gelenbe
International Journal of Data Mining and Bioinformatics|March 24, 2015
Identifying disease candidate genes via large-scale gene network analysisHaseong Kim, Taesung Park, Erol Gelenbe
BMC Bioinformatics|October 19, 2013
A method to identify differential expression profiles of time-course gene data with Fourier transformationJaehee Kim, Robert Todd Ogden, Haseong Kim
BMC Bioinformatics|February 3, 2007
Boolean networks using the chi-square test for inferring large-scale gene regulatory networksHaseong Kim, Jae K Lee, Taesung Park
Journal of Bioinformatics and Computational Biology|July 28, 2009
Inference of large-scale gene regulatory networks using regression-based network approachHaseong Kim, Jae K Lee, Taesung Park
Pageof 7

Showing results (1-10 of 67) with videos related to

Sort By:
Pageof 7
Genomics & Informatics|January 4, 2020
AI, big data, and robots for the evolution of biotechnologyHaseong Kim
Bioinformatics (Oxford, England)|November 21, 2007
Clustering of change patterns using Fourier coefficientsJaehee Kim, Haseong Kim
BMC Bioinformatics|October 14, 2017
Partitioning of functional gene expression data using principal pointsJaehee Kim, Haseong Kim
BMC Genomics|December 5, 2009
Anomaly detection in gene expression via stochastic models of gene regulatory networksHaseong Kim, Erol Gelenbe
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 7, 2011
Stochastic gene expression modeling with Hill function for switch-like gene responsesHaseong Kim, Erol Gelenbe
IEEE Transactions on Nanobioscience|September 19, 2012
Reconstruction of large-scale gene regulatory networks using Bayesian model averagingHaseong Kim, Erol Gelenbe
International Journal of Data Mining and Bioinformatics|March 24, 2015
Identifying disease candidate genes via large-scale gene network analysisHaseong Kim, Taesung Park, Erol Gelenbe
BMC Bioinformatics|October 19, 2013
A method to identify differential expression profiles of time-course gene data with Fourier transformationJaehee Kim, Robert Todd Ogden, Haseong Kim
BMC Bioinformatics|February 3, 2007
Boolean networks using the chi-square test for inferring large-scale gene regulatory networksHaseong Kim, Jae K Lee, Taesung Park
Journal of Bioinformatics and Computational Biology|July 28, 2009
Inference of large-scale gene regulatory networks using regression-based network approachHaseong Kim, Jae K Lee, Taesung Park
Pageof 7