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ORCIDCIBCB 2015: Niagara Falls, ON, Canada
- IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2015, Niagara Falls, ON, Canada, August 12-15, 2015. IEEE 2015, ISBN 978-1-4799-6926-5
- Eileen Marie Hanna
, Nazar M. Zaki:
Detecting protein complexes using gene expression biclusters. 1-7 - Jing-Doo Wang:
A study of comparing the ambiguity of existing virus taxonomy structures using protein's region names in the vector space model. 1-8 - Z. Darabi, M. H. Fazel Zarandi, S. Shokoohi Solgi, I. Burhan Türksen:
An intelligent multi-agent system architecture for enhancing self-management of type 2 diabetic patients. 1-8 - Y-h. Taguchi, Mitsuo Iwadate, Hideaki Umeyama:
Heuristic principal component analysis-based unsupervised feature extraction and its application to gene expression analysis of amyotrophic lateral sclerosis data sets. 1-10 - Huda Al-Nayyef, Christophe Guyeux, Jacques M. Bahi:
Taenia biomolecular phylogeny and the impact of mitochondrial genes on this latter. 1-7 - Maede Maftouni, I. Burhan Türksen, M. H. Fazel Zarandi, N. Ayubi Yazdi:
Systematic bone infection detection in axial diabetic foot MRI. 1-5 - Kwok-Kit Tong, Kwan-Yau Cheung, Kin-Hong Lee, Kwong-Sak Leung:
Classification of RNA sequences with pseudoknots using features based on partial sequences. 1-8 - Amir Zjajo, René van Leuken:
Iterative learning cascaded multiclass kernel based support vector machine for neural spike data classification. 1-6 - Arda Soylev, Osman Abul:
REFBSS: Reference based similarity search in biological network databases. 1-8 - Pinar Kavak, Hüseyin Demirci:
LargeDEL: A tool for identifying large deletions in the whole genome sequencing data. 1-7 - Farzad Vasheghani Farahani, Abbas Ahmadi, M. H. Fazel Zarandi:
Lung nodule diagnosis from CT images based on ensemble learning. 1-7 - Michael Scott Brown, James A. Coker, Olivia Minh Trang Hua:
A complexity measurement for de novo protein folding. 1-8 - Brian J. Ross:
Using multi-objective genetic programming to evolve stochastic logic gate circuits. 1-8 - Gregorio Kappaun Rocha, Fábio Lima Custódio, Helio José Corrêa Barbosa, Laurent Emmanuel Dardenne:
A multiobjective approach for protein structure prediction using a steady-state genetic algorithm with phenotypic crowding. 1-8 - Karina B. Santos, Fábio L. Custódio, Helio J. C. Barbosa, Laurent Emmanuel Dardenne:
Genetic operators based on backbone constraint angles for protein structure prediction. 1-8 - Otis Smart, Michael Chen:
Semi-automated patient-specific scalp EEG seizure detection with unsupervised machine learning. 1-7 - Abu Sayed Chowdhury, Md Monjur Alam, Yanqing Zhang:
A biomarker ensemble ranking framework for prioritizing depression candidate genes. 1-6 - Paolo Cazzaniga, Marco S. Nobile, Daniela Besozzi:
The impact of particles initialization in PSO: Parameter estimation as a case in point. 1-8 - Anurag Nagar, Michael Hahsler, Hisham Al-Mubaid:
Association rule mining of gene ontology annotation terms for SGD. 1-7 - Anurag Nagar, Hisham Al-Mubaid:
A hybrid semantic similarity measure for gene ontology based on offspring and path length. 1-7 - Daniel A. Ashlock, Sheridan K. Houghten:
Lexicode crossover for embeddable biomarkers. 1-7 - Matthew Page, Daniel A. Ashlock:
Stress and productivity performance in the workforce modelled with binary decision automata. 1-8 - Mina Maleki, Luis Rueda:
Classification via correlation-based feature grouping. 1-6 - Alex Shenfield, Shahin Rostami:
A multi objective approach to evolving artificial neural networks for coronary heart disease classification. 1-8 - Lee-Ann Barlow, Daniel A. Ashlock:
Varying decision inputs in Prisoner's Dilemma. 1-8 - Daniel A. Ashlock, Cameron McGuinness, Joseph O'Neill:
Interactive evolution instead of default parameters. 1-8 - Faizah Aplop, Greg Butler:
On predicting transport proteins and their substrates for the reconstruction of metabolic networks. 1-9 - Nada Alhirabi, Greg Butler:
A visual spreadsheet using HTML5 for whole genome display. 1-7 - Kevin McDonough, Ilya V. Kolmanovsky, Inna V. Glybina:
A neural network approach to retinal layer boundary identification from optical coherence tomography images. 1-8 - Kamal Taha, Paul D. Yoo:
An information extraction system for protein function prediction. 1-7 - Forough Firoozbakht, Iman Rezaeian, Alioune Ngom, Luis Rueda, Lisa A. Porter:
A novel approach for finding informative genes in ten subtypes of breast cancer. 1-6 - Siva Singireddy, Abed Alkhateeb, Iman Rezaeian, Luis Rueda, Dora Cavallo-Medved, Lisa A. Porter:
Identifying differentially expressed transcripts associated with prostate cancer progression using RNA-Seq and machine learning techniques. 1-5 - Piotr Klukowski, Adam Gonczarek, Michal J. Walczak:
A benchmark for automated peak picking of protein NMR spectra. 1-8 - Youlian Pan, Thérèse Ouellet, Sieu Phan, Alain B. Tchagang, François Fauteux, Dan Tulpan:
Digitization of trait representation in microarray data analysis of wheat infected by fusarium graminearum. 1-9 - Luluah Al-Husain, Alaaeldin M. Hafez:
Dimensionality reduction approach for genotypic data. 1-5 - Gonzalo A. Ruz, Tania Timmermann, Eric Goles:
Reconstruction of a GRN model of salt stress response in arabidopsis using genetic algorithms. 1-8 - Chaewon Ham, Jiwoo Kim, Seojung Ahn, Yebin Kim, Sewon Kim, Taeseon Yoon:
Analysis of gene mutation that cause lung cancer by using data miningand study of common remedy. 1-5 - Ignacio Traverso Ribón, Maria-Esther Vidal:
Exploiting information content and semantics to accurately compute similarity of GO-based annotated entities. 1-8 - Ching-Fen Jiang, Tzeng-Shiang Chiu, Ming-Hong Tsai:
Analysis of cell migration patterns in time lapse microscopy using texture features. 1-5 - Yixun Li, Behzad Rezaei, Alioune Ngom, Luis Rueda:
Prediction of high-throughput protein-protein interactions based on protein sequence information. 1-6 - Daniel A. Ashlock, Meghan Timmins:
A comparison of incremental community assembly with evolutionary community selection. 1-8 - Daniel A. Ashlock, Sierra Gillis, Jennifer Garner, Gary B. Fogel:
Evolving DNA classifiers with extinction based ring optimization. 1-8 - Jean-Michel Bécu, Christophe Ambroise, Yves Grandvalet, Cyril Dalmasso:
Significance testing for variable selection in high-dimension. 1-8 - Lydia Schwab, Manuel Schmitt, Rolf Wanka:
Multimodal medical image registration using particle swarm optimization with influence of the data's initial orientation. 1-8 - Hui Liu, Feng Lin, Jianli Yang, Xiu-Ling Liu:
Side-chain flexibility in protein docking. 1-8 - Yiyun Huang, Sebastian Magierowski, Ebrahim Ghafar-Zadeh, Chengjie Wang:
A high-speed real-time nanopore signal detector. 1-8 - Leung-Yau Lo, Man-Leung Wong, Kin-Hong Lee, Kwong-Sak Leung:
Exploiting modularity and hierarchical modularity to infer large causal gene regulatory network. 1-8 - Seongkeon Lee, Youngjun Piao, Huidong Shi, Jeong-Hyeon Choi:
New approaches to identify cancer heterogeneity in DNA methylation studies using the lepage test and multinomial logistic regression. 1-7 - In-Cheol Kim, George R. Thoma:
Automated classification of author's sentiments in citation using machine learning techniques: A preliminary study. 1-7 - Long Ma, Yanqing Zhang, Raj Sunderraman, Peter T. Fox, Angela R. Laird, Jessica A. Turner, Matthew D. Turner:
Hybrid feature selection methods for online biomedical publication classification. 1-8 - Ana Stanescu, Doina Caragea:
Predicting cassette exons using transductive learning approaches. 1-8 - Arinze Akutekwe, Huseyin Seker:
Inferring the dynamics of gene regulatory networks via optimized recurrent neural network and dynamic Bayesian network. 1-8 - Qanita Bani Baker, Gregory J. Podgorski, Christopher D. Johnson, Elizabeth Vargis, Nicholas S. Flann:
Bridging the multiscale gap: Identifying cellular parameters from multicellular data. 1-7 - Aria S. Hahn, Niels W. Hanson, Dongjae Kim, Kishori M. Konwar, Steven J. Hallam:
Assembly independent functional annotation of short-read data using SOFA: Short-ORF functional annotation. 1-6 - Wei-Fu Lu, Yi-Hou Chen:
O-glycosylation sites prediction using the meta-prediction approach. 1-5 - Andrew E. Adams, Zabrina L. Brumme, Alexander R. Rutherford, Ralf W. Wittenberg:
Matching models of HIV-1 viral dynamics to clinical data. 1-8 - Masood Zamani, Stefan C. Kremer:
Protein secondary structure prediction using an evolutionary computation method and clustering. 1-6 - Mohammed Al-Shammaa, Maysam F. Abbod:
Granular computing approach for the design of medical data classification systems. 1-7 - Somavarapu Jahnavi, K. Suvarna Vani, K. Praveen Kumar:
Protein structure similarity using recurrence relation technique. 1-7 - Bryan J. Andrews, Jing Hu:
TSC_ATP: A two-stage classifier for predicting protein-ATP binding sites from protein sequence. 1-5 - Ashkan Entezari Heravi, Koosha Tahmasebipour, Sheridan K. Houghten:
Evolutionary computation for disease gene association. 1-8 - Rubaiya Rahtin Khan, Madhu Chetty:
Towards large scale genetic network modeling. 1-8 - Sajjad Amrollahi Biyouki, I. Burhan Türksen, Mohammad Hossein Fazel Zarandi:
Fuzzy rule-based expert system for diagnosis of thyroid disease. 1-7 - Ali Ahmadi, Sadaf Iranpour Tari:
Predicting time sequences in gene expression using dynamic neuro-fuzzy networks. 1-6 - Joseph Alexander Brown:
On side effect machines as a representation for evolutionary algorithms. 1-8 - Yun Zhu, Yanqing Zhang, Yi Pan:
Dynamic ensemble selection with local expertise consistency. 1-8 - Tayo Obafemi-Ajayi, Dao Lam, T. Nicole Takahashi, Stephen Kanne, Donald C. Wunsch:
Sorting the phenotypic heterogeneity of autism spectrum disorders: A hierarchical clustering model. 1-7 - Elnaz Pashaei, Mustafa Ozen, Nizamettin Aydin:
A novel gene selection algorithm for cancer identification based on random forest and particle swarm optimization. 1-6 - Daniel A. Ashlock, Cameron McGuinness, Wendy Ashlock:
Chaos automata for sequence visualization. 1-8 - Maad Shatnawi, Nazar M. Zaki:
Novel domain identification approach for protein-protein interaction prediction. 1-8 - Dongjae Kim, Aria S. Hahn, Shang-Ju Wu, Niels W. Hanson, Kishori M. Konwar, Steven J. Hallam:
FragGeneScan-plus for scalable high-throughput short-read open reading frame prediction. 1-8
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