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Sangdi Lin

Showing results (1-10 of 4) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|July 11, 2018
GCRNN: Group-Constrained Convolutional Recurrent Neural NetworkSangdi Lin, George C Runger
Bioinformatics (Oxford, England)|October 18, 2019
Matched Forest: supervised learning for high-dimensional matched case-control studiesNooshin Shomal Zadeh, Sangdi Lin, George C Runger
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 2, 2019
Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome DatasetsTianshu Feng, Jaime I Davila, Yuanhang Liu, et al.
BMC Genomics|November 29, 2018
A data science approach for the classification of low-grade and high-grade ovarian serous carcinomasSangdi Lin, Chen Wang, Shabnam Zarei, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|July 11, 2018
GCRNN: Group-Constrained Convolutional Recurrent Neural NetworkSangdi Lin, George C Runger
Bioinformatics (Oxford, England)|October 18, 2019
Matched Forest: supervised learning for high-dimensional matched case-control studiesNooshin Shomal Zadeh, Sangdi Lin, George C Runger
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 2, 2019
Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome DatasetsTianshu Feng, Jaime I Davila, Yuanhang Liu, et al.
BMC Genomics|November 29, 2018
A data science approach for the classification of low-grade and high-grade ovarian serous carcinomasSangdi Lin, Chen Wang, Shabnam Zarei, et al.
Pageof 1