跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
按專業知識、姓名或所屬機構搜尋
生物資訊及系統生物研究所
國立陽明交通大學
工程生物科學學院
電話
03-5729287
網站
https://ibsb.nycu.edu.tw/#1
概覽
指紋
網路
人員
(8)
計畫
(130)
研究成果
(649)
獎項
(12)
活動
(5)
研究成果
每年研究成果
1991
2015
2016
2017
2019
2020
2021
2022
2023
2024
2025
20898
引文
66
h-指數
545
Article
55
Conference contribution
14
Paper
10
Patent
25
更多
6
Chapter
5
Editorial
4
Conference article
4
Review article
3
Comment/debate
2
Short survey
1
Meeting Abstract
每年研究成果
每年研究成果
14結果
出版年份,標題
(降序)
出版年份,標題
(升序)
標題
類型
篩選
Paper
搜尋結果
2011
Interrogation of alternative splicing events in duplicated genes during evolution
Chen, T.-W.
, Wu, T. H., Ng, W. V. & Lin, W. C.,
2011
.
研究成果
›
同行評審
開啟存取
Alternative Splicing
100%
Duplicated Genes
100%
Duplication
30%
Gene Duplication
23%
Singleton
15%
12
引文 斯高帕斯(Scopus)
Investigation and identification of protein g-glutamyl carboxylation sites
Lee, T. Y.
, Lu, C. T., Chen, S. A., Bretaña, N. A., Cheng, T. H., Su, M. G. & Huang, K. Y.,
2011
.
研究成果
›
同行評審
Support Vector Machine
100%
Amino Acid
100%
Glutamic Acid
100%
Carboxylation
100%
Protein Secondary Structure
50%
5
引文 斯高帕斯(Scopus)
2005
Coarse-graining the actin filament from atomistic simulations
Chu, J.-W.
& Voth, G. A.,
10月 2005
,
p. 11430
.
1 p.
研究成果
›
同行評審
Atomistic Simulation
100%
Coarse-grained Model
100%
Actin Filaments
100%
Monomer
100%
Actin
100%
Exploring the allostery of actin filaments via molecular dynamics simulations and coarse-grained analysis
Chu, J.-W.
& Voth, G. A.,
10月 2005
,
p. 11622
.
1 p.
研究成果
›
同行評審
Molecular Dynamics Simulation
100%
Actin Filaments
100%
Coarse-grained Analysis
100%
Allostery
100%
Actin
100%
Multi-scale modeling of the actin filament: From allostery to the elasticity of cytoskeleton
Chu, J.-W.
,
10月 2005
,
p. 3356
.
1 p.
研究成果
›
同行評審
Actin Filaments
100%
Multiscale Modeling
100%
Cytoskeleton
100%
Allostery
100%
Allosterism
100%
2004
A two-stage feature extraction for hyperspectral image data classification
Chen, G. S.,
Ko, L.-W.
, Kuo, B. C. & Shih, S. C.,
9月 2004
,
p. 1212-1215
.
4 p.
研究成果
:
Paper
›
同行評審
Feature Extraction
100%
Hyperspectral Image Data
100%
Image Set Classification
100%
Data Classification
100%
Hyperspectral Image
100%
4
引文 斯高帕斯(Scopus)
2003
Regularized Feature Extractions for Hyperspectral Data Classification
Kuo, B. C.,
Ko, L.-W.
, Pai, C. H. & Landgrebe, D. A.,
7月 2003
,
p. 1767-1769
.
3 p.
研究成果
:
Paper
›
同行評審
Feature Extraction
100%
Hyperspectral Image Classification
100%
Discriminant Analysis
100%
Isolation Method
100%
Feature Extraction Methods
50%
13
引文 斯高帕斯(Scopus)
2002
Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm
Ho, S.-Y.
, Liu, C. C., Liu, S. & Jou, J. W.,
2002
,
p. 594-599
.
6 p.
研究成果
›
同行評審
Intelligent Genetic Algorithm
100%
Nearest Neighbor Classifier
100%
Nearest Neighbors Classifier
100%
Genetic Algorithm
100%
Classification Accuracy
66%
3
引文 斯高帕斯(Scopus)
2001
An efficient evolutionary image segmentation algorithm
Ho, S.-Y.
& Lee, K. Z.,
2001
,
p. 1327-1334
.
8 p.
研究成果
›
同行評審
Computation Time
100%
Evolutionary
100%
Image Segmentation Algorithm
100%
Image Segmentation
100%
segmentation algorithm
100%
15
引文 斯高帕斯(Scopus)
Integrating adaptive mutations and family competition with differential evolution for flexible ligand docking
Yang, J.-M.
, Horng, J. T. & Kao, C. Y.,
5月 2001
,
p. 473-480
.
8 p.
研究成果
›
同行評審
Differential Evolution
100%
Flexible Ligand Docking
100%
Adaptive mutation
100%
Enzyme
100%
Anticancer
100%
4
引文 斯高帕斯(Scopus)
Mesh optimization for surface approximation using an efficient coarse-to-fine evolutionary algorithm
Huang, H. L. &
Ho, S.-Y.
,
1 1月 2001
,
p. 584-591
.
8 p.
研究成果
›
同行評審
Evolutionary Algorithms
100%
Mesh Optimization
100%
Coarse-to-fine
100%
Surface Approximation
100%
Surfaces Approximation
100%
4
引文 斯高帕斯(Scopus)
2000
Robust evolutionary algorithm for optical thin-film designs
Yang, J.-M.
& Kao, C. Y.,
3 12月 2000
,
p. 978-985
.
8 p.
研究成果
›
同行評審
Evolutionary Algorithms
100%
Optical Thin Film
100%
Thin Film Design
100%
Thin Films
100%
Evolutionary Algorithm
100%
9
引文 斯高帕斯(Scopus)
1999
Incorporation family competition into Gaussian and Cauchy mutations to training neural networks using an evolutionary algorithm
Yang, J.-M.
, Horng, J. T. & Kao, C. Y.,
1999
,
p. 1994-2001
.
8 p.
研究成果
›
同行評審
開啟存取
Evolutionary Algorithms
100%
Neural Network Training
100%
Gaussian mutation
100%
Adaptation Rules
100%
Cauchy mutation
100%
1996
Combined evolutionary algorithm for real parameters optimization
Yang, J.-M.
& Kao, C. Y.,
1 1月 1996
,
p. 732-737
.
6 p.
研究成果
:
Paper
›
同行評審
Evolutionary Algorithms
100%
Real-parameter Optimization
100%
Evolutionary Algorithm
100%
Genetic Algorithm
75%
Evolution Strategy
50%
23
引文 斯高帕斯(Scopus)