E-LIB Suche - Ergebnisse für: Ou, Yu-Yen

1

TNFPred: identifying tumor necrosis factors using hybrid fe..:

Nguyen, Trinh-Trung-Duong ; Le, Nguyen-Quoc-Khanh ; Ho, Quang-Thai..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579990/. , 2020

Link: http://www.ncbi.nlm.nih...

2

Using Deep Learning Neural Networks and Candlestick Chart R..:

Kusuma, Rosdyana Mangir Irawan ; Ho, Trang-Thi ; Kao, Wei-Chun..
http://arxiv.org/abs/1903.12258. , 2019

Link: http://arxiv.org/abs/190..

3

Prediction of FAD binding sites in electron transport prote..:

Le, Nguyen-Quoc-Khanh ; Ou, Yu-Yen
http://www.biomedcentral.com/1471-2105/17/298. , 2016

Link: http://www.biomedcentral..

4

Incorporating significant amino acid pairs to identify O-li..:

Lee Tzong-Yi ; Chen Shu-An ; Ou Yu-Yen
http://www.biomedcentral.com/1471-2105/11/536. , 2010

Link: https://doi.org/10.1186/..

5

Incorporating significant amino acid pairs to identify O-li..:

Chen, Shu-An ; Lee, Tzong-Yi ; Ou, Yu-Yen
http://www.biomedcentral.com/1471-2105/11/536. , 2010

Link: http://www.biomedcentral..

6

Prediction of protein secondary structures with a novel ker..:

Yang Meng-Han ; Hung Hao-Geng ; Ou Yu-Yen...
http://www.biomedcentral.com/1756-0500/1/51. , 2008

Link: https://doi.org/10.1186/..

7

Prediction of protein secondary structures with a novel ker..:

Chang, Darby ; Ou, Yu-Yen ; Hung, Hao-Geng...
http://www.biomedcentral.com/1756-0500/1/51. , 2008

Link: http://www.biomedcentral..

8

Supervised Machine Learning with a Novel Kernel Density Est..:

Oyang, Yen-Jen ; Chang, Darby Tien-Hao ; Ou, Yu-Yen...
http://arxiv.org/abs/0709.2760. , 2007

Link: http://arxiv.org/abs/070..

9

Protein disorder prediction by condensed PSSM considering p..:

Chen Chien-Yu ; Su Chung-Tsai ; Ou Yu-Yen
http://www.biomedcentral.com/1471-2105/7/319. , 2006

Link: https://doi.org/10.1186/..

10

Protein disorder prediction by condensed PSSM considering p..:

Su, Chung-Tsai ; Chen, Chien-Yu ; Ou, Yu-Yen
http://www.biomedcentral.com/1471-2105/7/319. , 2006

Link: http://www.biomedcentral..

11

TNFPred: identifying tumor necrosis factors using hybrid fe..:

Trinh-Trung-Duong Nguyen ; Nguyen-Quoc-Khanh Le ; Quang-Thai Ho..
http://link.springer.com/article/10.1186/s12920-020-00779-w. , 2020

Link: https://doi.org/10.1186/..

12

A Self-Relevant CNN-SVM Model for Problem Classification in..:

Eric Hsiao-Kuang Wu ; Sung-En Chen ; Jhao-Jhong Liu..
https://ieeexplore.ieee.org/document/9265190/. , 2020

Link: https://doi.org/10.1109/..

13

Advantages and Constraints of a Hybrid Model K-12 E-Learnin..:

Eric Hsiao-Kuang Wu ; Chun-Han Lin ; Yu-Yen Ou...
https://ieeexplore.ieee.org/document/9069183/. , 2020

Link: https://doi.org/10.1109/..

14

ETMB-RBF: discrimination of metal-binding sites in electron..:

Yu-Yen Ou ; Shu-An Chen ; Sheng-Cheng Wu
http://europepmc.org/articles/PMC3566168?pdf=render. , 2013

Link: https://doi.org/10.1371/..

15

Incorporating distant sequence features and radial basis fu..:

Tzong-Yi Lee ; Shu-An Chen ; Hsin-Yi Hung.
http://europepmc.org/articles/PMC3052307?pdf=render. , 2011

Link: https://doi.org/10.1371/..