default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCIBCB 2013: Singapore
- 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Singapore, April 16-19, 2013. IEEE 2013, ISBN 978-1-4673-5875-0
- Penghao Wang
, Susan R. Wilson:
A new hybrid probability-based method for identifying proteins and protein modifications. 1-8 - Yin-Fu Huang, Shuying Chen:
Protein secondary structure prediction based on physicochemical features and PSSM by SVM. 9-15 - Hind Melhem, Xiang Jia Min, Greg Butler:
The impact of SignalP 4.0 on the prediction of secreted proteins. 16-22 - Watshara Shoombuatong, Hui-Ling Huang, Jeerayut Chaijaruwanich, Phasit Charoenkwan, Hua-Chin Lee, Shinn-Ying Ho:
Predicting protein crystallization using a simple scoring card method. 23-30 - Dennis Fernandez, Antonia Maninang, Shumpei Kobayashi:
Intellectual property protection for bioinformatics and computational intelligence. 31-35 - Anaththa P. D. Krishnajith, Wayne Kelly, Ross Hayward, Yu-Chu Tian:
Managing memory and reducing I/O cost for correlation matrix calculation in bioinformatics. 36-43 - Vinh Quoc Dang, Chiou Peng Lam, ChangSu Lee:
NSC-GA: Search for optimal shrinkage thresholds for nearest shrunken centroid. 44-51 - Peter Grypma, Jonathan Babbitt, Herbert H. Tsang:
A study on the effect of different thermodynamic models for predicting pseudoknotted RNA secondary structures. 52-59 - Jeffrey A. Thompson, Clare Bates Congdon:
An exploration into improving DNA motif inference by looking for highly conserved core regions. 60-67 - Upul Senanayake, Rahal Prabuddha, Roshan G. Ragel:
Machine learning based search space optimisation for drug discovery. 68-75 - Haifen Chen, D. A. K. Maduranga, Piyushkumar A. Mundra, Jie Zheng:
Integrating epigenetic prior in dynamic Bayesian network for gene regulatory network inference. 76-82 - Yifeng Li, Alioune Ngom:
The max-min high-order dynamic Bayesian network learning for identifying gene regulatory networks from time-series microarray data. 83-90 - Kesav Kancherla, Srinivas Mukkamala:
Early lung cancer detection using nucleus segementation based features. 91-95 - Zina M. Ibrahim, Stephen Newhouse, Richard J. B. Dobson:
Detecting epistasis in the presence of linkage disequilibrium: A focused comparison. 96-103 - Pugalendhi GaneshKumar, S. Arul Antran Vijay, Durairaj Devaraj:
A hybrid colony fuzzy system for analyzing diabetes microarray data. 104-111 - Noel Kennedy, Alexandru E. Mizeranschi, Paul Thompson, Huiru Zheng, Werner Dubitzky:
Reverse engineering of gene regulation models from multi-condition experiments. 112-119 - Saurav Mallik, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Integrated analysis of gene expression and genome-wide DNA methylation for tumor prediction: An association rule mining-based approach. 120-127 - Zhi-Zhong Chen, Fei Deng, Lusheng Wang:
Identifying duplications and lateral gene transfers simultaneously and rapidly. 128-135 - Kwok-Kit Tong, Kwan-Yau Cheung, Kin-Hong Lee, Kwong-Sak Leung:
GAknot: RNA secondary structures prediction with pseudoknots using genetic algorithm. 136-142 - Huang-Cheng Kuo, Ping-Lin Ong:
Classifying protein interaction type with associative patterns. 143-147 - Kwan-Yau Cheung, Kwok-Kit Tong, Kin-Hong Lee, Kwong-Sak Leung:
RIPGA: RNA-RNA interaction prediction using genetic algorithm. 148-153 - Yao-Sheng Chang, Hsiao-Huei Tsou, Sheng-Chang Wang, Chiu-Ping Fang, Yu-Li Liu, Ing-Kang Ho:
Comparing multiple testing correction methods between two softwares for single nucleotide polymorphisms association analyses: Using OPRD1 and diastolic blood pressure in methadone maintenance patients as an example. 154-159 - Pradeep Chowriappa, Sumeet Dua:
Capturing hydrophobic moment using spectral coherence for protein secondary structure prediction. 160-167 - Joseph Alexander Brown:
More multiple worlds evolution for motif discovery. 168-175 - Ghim Siang Ow, Piroon Jenjaroenpun, Jean-Paul Thiery, Vladimir A. Kuznetsov:
How to discriminate between potentially novel and considered biomarkers within molecular signature? 176-182 - Nikhil Vij, Wu Zuobin, Malin Björnsdotter, Justin Dauwels, François-Benoît Vialatte:
A multimodal approach to analysis of steady state visually evoked potentials. 183-188 - Ying Chen, Tuan D. Pham:
Analysis of MRI-based cortical surface structure complexity in dementia by sample entropy. 189-192 - Weiqiang Zhou, Debby Dan Wang, Hong Yan, Maria P. Wong, Victor C. S. Lee:
Prediction of anti-EGFR drug resistance base on binding free energy and hydrogen bond analysis. 193-197 - Tak-Ming Chan, Leung-Yau Lo, Man-Leung Wong, Yong Liang, Kwong-Sak Leung:
Genetic algorithm for dimer-led and error-restricted spaced motif discovery. 198-205 - Simon Rosenfeld:
Critical junction: Nonlinear dynamics, swarm intelligence and cancer research. 206-211 - Hiroshi Dozono, Gen Niina:
Mapping of DNA sequences using hidden Markov model self organizing maps. 212-217 - Nhan Nguyen-Thanh, Tuan D. Pham, Kazuhisa Ichikawa:
Segmentation of mitochondria in intracellular space. 218-221 - Srinivasulu Reddy, Michael Arock, A. V. Reddy:
A particle swarm optimization solution for challenging planted(l, d)-Motif problem. 222-229 - Hui-Ling Huang, Yerukala Sathipati Srinivasulu, Phasit Charoenkwan, Hua-Chin Lee, Shinn-Ying Ho:
Designing predictors of halophilic and non-halophilic proteins using support vector machines. 230-237 - Ren-Hua Chung:
PUPPI: A pathway analysis method using protein-protein interaction network for case-control data. 238-241 - Shen Quanhua, Xia Fei, Zhu Qianghua:
Accelerating protein tertiary structure analysis based on FPGA. 242-245 - Junshan Yang, Zexuan Zhu, Shan He, Zhen Ji:
Minimal-redundancy-maximal-relevance feature selection using different relevance measures for omics data classification. 246-251
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-28 23:53 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
