Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Yijun Sun

Showing results (1-10 of 153) with videos related to

Pageof 16
Sort By:
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 14, 2007
Iterative RELIEF for feature weighting: algorithms, theories, and applicationsYijun Sun
Nucleic Acids Research|May 21, 2011
ESPRIT-Tree: hierarchical clustering analysis of millions of 16S rRNA pyrosequences in quasilinear computational timeYunpeng Cai, Yijun Sun
The Prostate|April 4, 2009
Optimizing molecular signatures for predicting prostate cancer recurrenceYijun Sun, Steve Goodison
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 17, 2010
Local-learning-based feature selection for high-dimensional data analysisYijun Sun, Sinisa Todorovic, Steve Goodison
Cancer Research|November 21, 2019
Molecular Profiles of Matched Primary and Metastatic Tumor Samples Support a Linear Evolutionary Model of Breast CancerRunpu Chen, Steve Goodison, Yijun Sun
Frontiers in Chemistry|May 2, 2022
Recent Advances in Synthetic Methodologies to Form C-<sup>18</sup>F BondsZhiyi Liu, Yijun Sun, Tianfei Liu
Bioanalysis|November 19, 2010
Derivation of cancer diagnostic and prognostic signatures from gene expression dataSteve Goodison, Yijun Sun, Virginia Urquidi
Breast Cancer Research and Treatment|March 18, 2009
Derivation of molecular signatures for breast cancer recurrence prediction using a two-way validation approachYijun Sun, Virginia Urquidi, Steve Goodison
Oncoscience|May 20, 2020
Computational disease progression modeling can provide insights into cancer evolutionSteve Goodison, Mark E Sherman, Yijun Sun
BMC Bioinformatics|February 8, 2013
M-pick, a modularity-based method for OTU picking of 16S rRNA sequencesXiaoyu Wang, Jin Yao, Yijun Sun, et al.
Pageof 16

Showing results (1-10 of 153) with videos related to

Sort By:
Pageof 16
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 14, 2007
Iterative RELIEF for feature weighting: algorithms, theories, and applicationsYijun Sun
Nucleic Acids Research|May 21, 2011
ESPRIT-Tree: hierarchical clustering analysis of millions of 16S rRNA pyrosequences in quasilinear computational timeYunpeng Cai, Yijun Sun
The Prostate|April 4, 2009
Optimizing molecular signatures for predicting prostate cancer recurrenceYijun Sun, Steve Goodison
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 17, 2010
Local-learning-based feature selection for high-dimensional data analysisYijun Sun, Sinisa Todorovic, Steve Goodison
Cancer Research|November 21, 2019
Molecular Profiles of Matched Primary and Metastatic Tumor Samples Support a Linear Evolutionary Model of Breast CancerRunpu Chen, Steve Goodison, Yijun Sun
Frontiers in Chemistry|May 2, 2022
Recent Advances in Synthetic Methodologies to Form C-<sup>18</sup>F BondsZhiyi Liu, Yijun Sun, Tianfei Liu
Bioanalysis|November 19, 2010
Derivation of cancer diagnostic and prognostic signatures from gene expression dataSteve Goodison, Yijun Sun, Virginia Urquidi
Breast Cancer Research and Treatment|March 18, 2009
Derivation of molecular signatures for breast cancer recurrence prediction using a two-way validation approachYijun Sun, Virginia Urquidi, Steve Goodison
Oncoscience|May 20, 2020
Computational disease progression modeling can provide insights into cancer evolutionSteve Goodison, Mark E Sherman, Yijun Sun
BMC Bioinformatics|February 8, 2013
M-pick, a modularity-based method for OTU picking of 16S rRNA sequencesXiaoyu Wang, Jin Yao, Yijun Sun, et al.
Pageof 16