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CIBCB 2012: San Diego, CA, USA
- 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2012, San Diego, CA, USA, May 9-12, 2012. IEEE 2012, ISBN 978-1-4673-1190-8
- Mohammed Al-Shalalfa, Ala Qabaja, Tarek A. Bismar, Reda Alhajj:
Functional characterization of miRNAs in prostate cancer using functional protein networks. 1-8 - Mina Maleki, Michael Hall, Luis Rueda:
Using structural domains to predict obligate and non-obligate protein-protein interactions. 9-15 - Sridip Banerjee, Luis Rueda, Mina Maleki:
Prediction of crystal packing and biological protein-protein interactions. 16-20 - George D. Montañez
, Young-Rae Cho:
Assessing reliability of protein-protein interactions by gene ontology integration. 21-27 - Spencer Angus Thomas, Yaochu Jin
Combining genetic oscillators and switches using evolutionary algorithms. 28-34 - Leong Lee, Jennifer L. Leopold, Ronald L. Frank:
Protein secondary structure prediction using BLAST and exhaustive RT-RICO, the search for optimal segment length and threshold. 35-42 - Chengpeng Bi, J. Steven Leeder:
Large-scale computation of pediatric growth percentiles with fuzzy logic justification of parameter selection. 43-46 - Alla S. Reddy, Himali Desai, Sunil Kumar, Rajni Garg:
Comparison of RSH with shape signatures and MACT technique for shape analysis of HIV-1 protein. 47-53 - Anjum Chida, Robert W. Harrison
Protein model assessment using extented fuzzy decision tree with spatial neighborhood features. 54-60 - Lisa Schramm, Yaochu Jin
Quantitative analysis of redundancy in evolution of developmental systems. 61-68 - Alex Holehouse
Developing a novel integrated model of p38 MAPK and glucocorticoid signalling pathways. 69-76 - Hongjian Li, Kwong-Sak Leung, Man Hon Wong:
idock: A multithreaded virtual screening tool for flexible ligand docking. 77-84 - Antonino Fiannaca
An ontology design methodology for Knowledge-Based systems with application to bioinformatics. 85-91 - Joseph Alexander Brown
Multiple worlds model for motif discovery. 92-99 - Qihua Tan, Mads Thomassen, Torben Arvid Kruse:
Latent growth curve modeling of incomplete timecourse data in microarray gene expression studies. 100-104 - Stephan Hutterer, Gerald Zauner, Marlene Huml, Rene Silye, Kurt Schilcher:
Data mining techniques for AFM- based tumor classification. 105-111 - Shang Gao, Omar Addam, Ala Qabaja, Abdallah M. ElSheikh, Omar Zarour, Mohamad Nagi, Flouris Triant, Wadhah Almansoori, Omer Sair, Tansel Özyer, Jia Zeng, Jon G. Rokne, Reda Alhajj:
Robust integrated framework for effective feature selection and sample classification and its application to gene expression data analysis. 112-119 - David Hecht
Towards predictive structure-based models of evolved drug resistance. 120-126 - Yi Yang, Alexander G. Hauptmann, Ming-Yu Chen, Yang Cai, Ashok Bharucha, Howard D. Wactlar:
Learning to predict health status of geriatric patients from observational data. 127-134 - Corneliu T. C. Arsene, Paulo J. G. Lisboa:
Multicentre study design in survival analysis. 135-143 - Oksana Korol, Marcel Turcotte
Learning relationships between over-represented motifs in a set of DNA sequences. 144-149 - Saúl Solorio-Fernández
Hybrid feature selection method for biomedical datasets. 150-155 - Qiang Lou, Henry P. Parkman, Michael R. Jacobs, Evgeny Krynetskiy, Zoran Obradovic:
Exploring genetic variability in drug therapy by selecting a minimum subset of the most informative single nucleotide polymorphisms through approximation of a markov blanket in a kernel-induced space. 156-163 - Kyung Dae Ko, Chunmei Liu, Amen Ra Mashariki, Legand Burge:
SMISB: A system for Managing Minimum Information from omics' studies in systems biology. 164-168 - Peikai Chen
An integrative bioinformatics approach for identifying subtypes and subtype-specific drivers in cancer. 169-176 - Hui Li, Chunmei Liu, Xumin Liu:
Collaboration visualization on large dataset for protein-protein interaction network. 177-183 - Natalie Berestovsky, Riya Fukui, Luay Nakhleh:
On the performance of particle swarm optimization for parameterizing kinetic models of cellular networks. 184-191 - Hui Li, Chunmei Liu, William M. Southerland:
Blind identification of post-translational modifications via dynamic time warping model. 192-197 - Shahzad Mumtaz
Novel visualization methods for protein data. 198-205 - Daniel A. Ashlock, Erin Wild
A model of competitive exclusion in plants. 206-213 - Mohd Zaki Ayob
Hybrid feature extractor for harlequin ladybird identification using color images. 214-221 - Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi:
Hybrid metaheuristic for multi-objective biclustering in microarray data. 222-228 - Maya El Dayeh, Michael Hahsler:
Biological pathway completion using network motifs and random walks on graphs. 229-236 - Christopher A. Barber, Christopher S. Oehmen:
An efficient machine learning approach to low-complexity filtering in biological sequences. 237-243 - Alexander V. Spirov, David M. Holloway
Evolution in silico of genes with multiple regulatory modules on the example of the Drosophila segmentation gene hunchback. 244-251 - Milan Vukicevic
A method for design of data-tailored partitioning algorithms for optimizing the number of clusters in microarray analysis. 252-259 - Leong Lee, Jennifer L. Leopold, Ronald L. Frank:
Exhaustive RT-RICO algorithm for mining association rules in protein secondary structure. 260-266 - Jinghua Gu, Jianhua Xuan, Chen Wang
Detecting aberrant signal transduction pathways from high-throughput data using GIST algorithm. 267-274 - Farhad Alizadeh Noori, Sheridan K. Houghten:
A multi-objective genetic algorithm with side effect machines for motif discovery. 275-282 - Benjamin Daniels, Steven M. Corns
Introduction of R-LCS and comparative analysis with FSC and Mahalanobis-Taguchi method for Breast Cancer classification. 283-289 - Deanna Petrochilos, Neil F. Abernethy:
Assessing network characteristics of cancer associated genes in metabolic and signaling networks. 290-297 - (Zhou) Bryan Bai, Stefan C. Kremer:
Sequence learning: analysis and solutions for sparse data in high dimensional spaces. 298-305 - Wenbo Jiang, Kay C. Wiese:
Non-coding RNA gene finding with combined partial covariance models. 306-313 - Edward W. Lowe, Mariusz Butkiewicz, Nils Woetzel, Jens Meiler:
GPU-accelerated machine learning techniques enable QSAR modeling of large HTS data. 314-320 - Levente Fabry-Asztalos, István Lorentz, Razvan Andonie
Molecular distance geometry optimization using geometric build-up and evolutionary techniques on GPU. 321-328 - Mariusz Butkiewicz, Edward W. Lowe, Jens Meiler:
Bcl∷ChemInfo - Qualitative analysis of machine learning models for activation of HSD involved in Alzheimer's Disease. 329-334 - S. Seth Long, Lawrence B. Holder:
Graph based MRI brain scan classification and correlation discovery. 335-342 - Jonathan Y. Clark, David P. A. Corney
Automated plant identification using artificial neural networks. 343-348 - Gregory J. Podgorski, Nicholas S. Flann:
Searching a multicellular model to tame tumor-induced angiogenesis. 349-354 - Kamal Taha
GOcSim: GO context-driven similarity. 355-362 - Daniel A. Ashlock, Elisabeth Shiller:
Evolving a social fabric to fit and epidemic profile. 363-370 - Yifeng Li, Alioune Ngom:
A new Kernel non-negative matrix factorization and its application in microarray data analysis. 371-378 - Curtis Madsen, Chris J. Myers
Utilizing stochastic model checking to analyze genetic circuits. 379-386 - Michael F. Ochs, Elana J. Fertig
Matrix factorization for transcriptional regulatory network inference. 387-396 - Gonzalo A. Ruz
Reconstruction and update robustness of the mammalian cell cycle network. 397-403 - Shikui Tu, Dingsheng Luo, Runsheng Chen, Lei Xu:
A non-Gaussian factor analysis approach to transcription Network Component Analysis. 404-411 - Vida Ravanmehr, Bane Vasic:
Quasi-cyclic codes exhibiting the gene regulatory network of the cell cycle. 412-417 - Amina Noor, Erchin Serpedin, Mohamed N. Nounou, Hazem N. Nounou, Nady Mohamed, Lotfi Chouchane:
Information theoretic methods for modeling of gene regulatory networks. 418-423
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