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CIBCB 2014: Honolulu, HI, USA
- IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2014, Honolulu, HI, USA, May 21-24, 2014. IEEE 2014
- Pietro Pinoli, Davide Chicco, Marco Masseroli:
Latent Dirichlet Allocation based on Gibbs Sampling for gene function prediction. 1-8 - Luis Rueda, Manish Pandit:
A model based on minimotifs for classification of stable protein-protein complexes. 1-6 - Jennifer Hallinan, Owen Gilfellon, Goksel Misirli, Anil Wipat:
Tuning receiver characteristics in bacterial quorum communication: An evolutionary approach using standard virtual biological parts. 1-8 - Yongnan Li, Limin Xiao:
Arithmetic computation in the tile assembly model: Inversion over finite field GF(2n). 1-6 - Wendy Ashlock:
Side effect machine features for analysis and comparison of DNA promoter sequences. 1-8 - Collin Price, Sheridan K. Houghten, Sergei Vassiliev, Doug Bruce:
Modeling metal protein complexes from experimental extended X-ray absorption fine structure using evolutionary algorithms. 1-7 - Lingyun Zou, Qingshan Ni, Fuquan Hu:
EBGW_OMP: A sequence-based method for accurate prediction of outer membrane proteins. 1-6 - Kamal Taha, Paul D. Yoo:
Inferring the relationships among genes from weighted GO graph. 1-7 - Ahmed S. Fadel, Mohamed Belal, Mostafa-Sami M. Mostafa:
ROSS: A rapid protein structure alignment algorithm. 1-5 - Young-Sung Cho, Keun Ho Ryu:
Predictive pattern analysis using SOM in medical data sets for medical treatment service. 1-5 - Nha Nguyen, Kyoung-Jae Won:
Gaussian derivative wavelets identify dynamic changes in histone modification. 1-7 - K. Suvarna Vani, T. D. Sravani:
Multiclass unbalanced protein data classification using sequence features. 1-8 - Razvan Andonie, Levente Fabry-Asztalos, Lucian Mircea Sasu:
Bayesian ARTMAP prediction of biological activities for potential HIV-1 protease inhibitors using a small molecular dataset. 1-8 - G. G. N. Gouid, A. A. A. Nasser, M. Z. Mostafa, D. M. El-Hennawi:
Position control of head and neck swellings resection operation using Artificial Neural Networks. 1-6 - Paul E. Anderson, Victoria A. McCaffrey, E. Starr Hazard, Patricia M. Watson, Matt R. Paul, Robert C. Wilson, Chadrick E. Denlinger, Dennis K. Watson:
Predictive modeling of lung cancer recurrence using alternative splicing events versus differential expression data. 1-8 - Xiao Wang, Jinghua Gu, Jianhua Xuan, Robert Clarke, Leena Hilakivi-Clarke:
A Markov random field-based Bayesian model to identify genes with differential methylation. 1-8 - Daniel A. Ashlock, Asena Goren:
Agent-based modelling of resource flow in plant networks. 1-7 - Mamuna Fatima, Iqra Basharat, Shoab Ahmed Khan, Ali Raza Anjum:
Biomedical (cardiac) data mining: Extraction of significant patterns for predicting heart condition. 1-7 - Chengwei Su, Mark E. Borsuk, Angeline S. Andrew, Margaret R. Karagas:
Incorporating prior expert knowledge in learning Bayesian networks from genetic epidemiological data. 1-5 - James Alexander Hughes, Sheridan K. Houghten, Guillermo M. Mallén-Fullerton, Daniel A. Ashlock:
Recentering and Restarting Genetic Algorithm variations for DNA Fragment Assembly. 1-8 - Eun-Youn Kim, Daniel A. Ashlock:
Using associators to generate ensemble biclustering from multiple evolved biclusterings. 1-8 - Uklid Yeesarapat, Sansanee Auephanwiriyakul, Nipon Theera-Umpon, Chatpat Kongpun:
Dental fluorosis classification using multi-prototypes from fuzzy C-means clustering. 1-5 - Niels W. Hanson, Kishori M. Konwar, Shang-Ju Wu, Steven J. Hallam:
MetaPathways v2.0: A master-worker model for environmental Pathway/Genome Database construction on grids and clouds. 1-7 - Andrew McEachern, Daniel A. Ashlock:
Shape control of side effect machines for DNA classification. 1-8 - Ibidun Christiana Obagbuwa, Aderemi Oluyinka Adewumi:
A modified roach infestation optimization. 1-7 - Suwimol Jungjit, Martin Michaelis, Alex Alves Freitas, Jindrich Cinatl:
Extending multi-label feature selection with KEGG pathway information for microarray data analysis. 1-8 - Kyung Dae Ko, Tarek A. El-Ghazawi, Dongkyu Kim, Hiroki Morizono:
Predicting the severity of motor neuron disease progression using electronic health record data with a cloud computing Big Data approach. 1-6 - K. Suvarna Vani, M. Om Swaroopa, T. D. Sravani, K. Praveen Kumar:
Frequent substructures and fold classification from protein contact maps. 1-8 - N. Hemalatha, M. K. Rajesh, N. K. Narayanan:
A machine learning approach for detecting MAP kinase in the genome of Oryza sativa L. ssp. indica. 1-6 - Xiaojuan Hu, Hong-hai Zhu, Jiatuo Xu, Dongrong Xu, Jun Dong:
Wrist pulse signals analysis based on Deep Convolutional Neural Networks. 1-7 - G. G. N. Gouid, A. A. A. Nasser, M. Z. Mostafa, D. M. El-Hennawi:
Automatic identification of Head and Neck Swellings in MRI images using support vector machines based on cepstral analysis. 1-7 - Jing Hu:
BLKnn: A K-nearest neighbors method for predicting bioluminescent proteins. 1-6 - Francisco Fambrini, Marco Antonio Barreto, José Hiroki Saito:
Low noise microelectrode array signal headstage pre-amplifier for in-vitro neuron culture. 1-6 - Ankit Kaushik, Otis Smart:
An eLORETA EEG analysis to spatially resolve real and imagined neuromotor control. 1-7 - Gonzalo A. Ruz, Eric Goles Ch.:
Neutral graph of regulatory Boolean networks using evolutionary computation. 1-8 - Otis L. Smart, Nashlie H. Sephus, Robert E. Gross:
Application of modulation spectrum for iEEG seizure analysis. 1-8 - George J. Shannon, Steven M. Corns, Donald C. Wunsch:
Discovering objective functions for tagging medical text concepts. 1-7
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