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Peiying Ruan

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

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Methods (San Diego, Calif.)|February 4, 2014
Proteome compression via protein domain compositionsMorihiro Hayashida, Peiying Ruan, Tatsuya Akutsu
Plos One|June 19, 2013
Prediction of heterodimeric protein complexes from weighted protein-protein interaction networks using novel features and kernel functionsPeiying Ruan, Morihiro Hayashida, Osamu Maruyama, et al.
BMC Bioinformatics|March 15, 2014
Feature weight estimation for gene selection: a local hyperlinear learning approachHongmin Cai, Peiying Ruan, Michael Ng, et al.
BMC Bioinformatics|February 26, 2014
Prediction of heterotrimeric protein complexes by two-phase learning using neighboring kernelsPeiying Ruan, Morihiro Hayashida, Osamu Maruyama, et al.
BMC Bioinformatics|March 6, 2018
Improving prediction of heterodimeric protein complexes using combination with pairwise kernelPeiying Ruan, Morihiro Hayashida, Tatsuya Akutsu, et al.
Journal of Theoretical Biology|December 14, 2018
On the number of driver nodes for controlling a Boolean network when the targets are restricted to attractorsWenpin Hou, Peiying Ruan, Wai-Ki Ching, et al.
Journal of Bioinformatics and Computational Biology|July 11, 2019
Deep learning with evolutionary and genomic profiles for identifying cancer subtypesChun-Yu Lin, Peiying Ruan, Ruiming Li, et al.
BMC Cancer|January 24, 2024
Automated evaluation of masseter muscle volume: deep learning prognostic approach in oral cancerKatsuya Sakamoto, Shin-Ichiro Hiraoka, Kohei Kawamura, et al.
Plos One|April 23, 2025
Effects of inbound attendees of a mass gathering event on the COVID-19 epidemic using individual-based simulationsMasaya M Saito, Kotoe Katayama, Akira Naruse, et al.
Nature Medicine|September 16, 2021
Federated learning for predicting clinical outcomes in patients with COVID-19Ittai Dayan, Holger R Roth, Aoxiao Zhong, et al.
Pageof 1

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

Sort By:
Pageof 1
Methods (San Diego, Calif.)|February 4, 2014
Proteome compression via protein domain compositionsMorihiro Hayashida, Peiying Ruan, Tatsuya Akutsu
Plos One|June 19, 2013
Prediction of heterodimeric protein complexes from weighted protein-protein interaction networks using novel features and kernel functionsPeiying Ruan, Morihiro Hayashida, Osamu Maruyama, et al.
BMC Bioinformatics|March 15, 2014
Feature weight estimation for gene selection: a local hyperlinear learning approachHongmin Cai, Peiying Ruan, Michael Ng, et al.
BMC Bioinformatics|February 26, 2014
Prediction of heterotrimeric protein complexes by two-phase learning using neighboring kernelsPeiying Ruan, Morihiro Hayashida, Osamu Maruyama, et al.
BMC Bioinformatics|March 6, 2018
Improving prediction of heterodimeric protein complexes using combination with pairwise kernelPeiying Ruan, Morihiro Hayashida, Tatsuya Akutsu, et al.
Journal of Theoretical Biology|December 14, 2018
On the number of driver nodes for controlling a Boolean network when the targets are restricted to attractorsWenpin Hou, Peiying Ruan, Wai-Ki Ching, et al.
Journal of Bioinformatics and Computational Biology|July 11, 2019
Deep learning with evolutionary and genomic profiles for identifying cancer subtypesChun-Yu Lin, Peiying Ruan, Ruiming Li, et al.
BMC Cancer|January 24, 2024
Automated evaluation of masseter muscle volume: deep learning prognostic approach in oral cancerKatsuya Sakamoto, Shin-Ichiro Hiraoka, Kohei Kawamura, et al.
Plos One|April 23, 2025
Effects of inbound attendees of a mass gathering event on the COVID-19 epidemic using individual-based simulationsMasaya M Saito, Kotoe Katayama, Akira Naruse, et al.
Nature Medicine|September 16, 2021
Federated learning for predicting clinical outcomes in patients with COVID-19Ittai Dayan, Holger R Roth, Aoxiao Zhong, et al.
Pageof 1