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ORCIDCIBCB 2017: Manchester, United Kingdom
- IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2017, Manchester, United Kingdom, August 23-25, 2017. IEEE 2017, ISBN 978-1-4673-8988-4
- Reza Salehnejad, Richard Allmendinger
, Yu-Wang Chen, Manhal Ali, Azar Shahgholian, Paraskevas Yiapanis, Mohaimen Mansur:
Leveraging data mining techniques to understand drivers of obesity. 1-9 - Shuhei Kimura, Masato Tokuhisa, Mariko Okada-Hatakeyama:
Inference of genetic networks from time-series of gene expression levels using random forests. 1-6 - Daniel A. Ashlock, Wendy Ashlock:
A note on population size inspired by the extinction of mammoths. 1-8 - Shreya Mishra, Swati Vipsita:
Biclustering of gene expression microarray data using dynamic deme parallelized genetic algorithm (DdPGA). 1-8 - James Alexander Hughes, Ethan C. Jackson, Mark Daley:
Modelling intracranial pressure with noninvasive physiological measures. 1-8 - Raid Alzubi, Naeem Ramzan, Hadeel Alzoubi:
Hybrid feature selection method for autism spectrum disorder SNPs. 1-7 - Li Tan, Jifeng Sun:
Reference-free compression of next-generation sequencing data in FASTQ format. 1-4 - Abeer Alzubaidi, Georgina Cosma:
A multivariate feature selection framework for high dimensional biomedical data classification. 1-8 - Daniel A. Ashlock, Sierra Gillis, Wendy Ashlock:
Infinite string block matching features for DNA classification. 1-8 - Daniel A. Ashlock, Gonzalo A. Ruz:
A novel representation for boolean networks designed to enhance heritability and scalability. 1-8 - Gonzalo A. Ruz, Daniel A. Ashlock, Thomas Ledger, Eric Goles:
Inferring bistable lac operen Boolean regulatory networks using evolutionary computation. 1-8 - Daniel A. Ashlock, Sheridan K. Houghten:
Hybridization and ring optimization for larger sets of embeddable biomarkers. 1-8 - Gregorio Kappaun Rocha, Jaqueline S. Angelo, Karina B. Santos, Fábio L. Custódio, Laurent Emmanuel Dardenne, Helio J. C. Barbosa:
Using an aggregation tree to arrange energy function terms for protein structure prediction. 1-7 - Doina Bucur:
Towards accurate de novo assembly for genomes with repeats. 1-8 - Karina B. Santos, Gregorio Kappaun Rocha, Fábio Lima Custódio, Helio J. C. Barbosa, Laurent Emmanuel Dardenne:
Improving de novo protein structure prediction using contact maps information. 1-6 - Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
Modeling protein structural transitions as a multiobjective optimization problem. 1-8 - K. Suvarna Vani, K. Praveen Kumar, Movva Veda Sri:
Finding sub-graphs from contact map overlap problem. 1-5 - Samuele Girotto, Matteo Comin, Cinzia Pizzi:
Binning metagenomic reads with probabilistic sequence signatures based on spaced seeds. 1-8 - Farideh Halakou, Attila Gürsoy, Emel Sen Kilic, Ozlem Keskin:
Topological, functional, and structural analyses of protein-protein interaction networks of breast cancer lung and brain metastases. 1-7 - Masataka Kimura, Shin Aoki, Hayato Ohwada:
Predicting radiation protection and toxicity of p53 targeting radioprotectors using machine learning. 1-6 - Chen Jing, Ren Lijun:
Comparative analysis on modularization of metabolic network of methanogens based on simulated annealing algorithm. 1-6 - Charmi Panchal, Vladimir Rogojin:
Generating the logicome from microarray data. 1-8 - Maxim Gusarev, Ramil Kuleev, Adil Khan, Adín Ramírez Rivera, Asad Masood Khattak:
Deep learning models for bone suppression in chest radiographs. 1-7 - Alex Shenfield, Marcos Rodrigues, Hossam Nooreldeen, Jeronimo Moreno-Cuesta:
A novel hybrid differential evolution strategy applied to classifier design for mortality prediction in adult critical care admissions. 1-7 - Kevin Dick, Frank Dehne, Ashkan Golshani, James R. Green:
Positome: A method for improving protein-protein interaction quality and prediction accuracy. 1-8 - Vinayaka Nagendra, Harikishan Gude, Divya Sampath, Steven M. Corns, Suzanna Long:
Evaluation of support vector machines and random forest classifiers in a real-time fetal monitoring system based on cardiotocography data. 1-6 - Santosh Tirunagari, Daniel Abásolo, Aamo Iorliam, Anthony T. S. Ho, Norman Poh:
Using Benford's law to detect anomalies in electroencephalogram: An application to detecting alzheimer's disease. 1-6 - Ethan C. Jackson, James Alexander Hughes, Mark Daley, Michael Winter:
An algebraic generalization for graph and tensor-based neural networks. 1-8 - Anton Dobrenkii, Ramil Kuleev, Adil Khan, Adín Ramírez Rivera, Asad Masood Khattak:
Large residual multiple view 3D CNN for false positive reduction in pulmonary nodule detection. 1-6 - Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga:
Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems. 1-8 - Batuhan Bardak, Mehmet Tan:
Disease outbreak prediction by data integration and multi-task learning. 1-7 - Samaneh Kouchaki, Santosh Tirunagari, Avraam Tapinos, David L. Robertson:
Marginalised stack denoising autoencoders for metagenomic data binning. 1-6 - Alex Shenfield, Shahin Rostami:
Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance. 1-8 - Régis Garnier, Christophe Guyeux, Stéphane Chrétien:
Finding optimal finite biological sequences over finite alphabets: The OptiFin toolbox. 1-9 - Bahar Javadi, Saeed Setayeshi, Greg Price:
Applying brain emotional learning based fuzzy inference system for EEG signal classication between schizophrenics and control participant. 1-8 - Avraam Tapinos, David L. Robertson:
De novo assembly of nucleotide sequences in a compressed feature space. 1-7 - Jyotsna Talreja Wassan, Haiying Wang, Fiona Browne, Huiru Zheng:
Microbial abundance analysis and phylogenetic adoption in functional metagenomics. 1-8 - Imene Mecheter, Rachid Hadjidj, Sebti Foufou:
An automated approach to translate a biological process from ODEs into graphical hybrid functional Petri Nets. 1-8 - Arjun P. Athreya, Subho S. Banerjee, Drew Neavin, Rima Kaddurah-Daouk, A. John Rush, Mark A. Frye, Liewei Wang, Richard M. Weinshilboum, William V. Bobo, Ravishankar K. Iyer:
Data-driven longitudinal modeling and prediction of symptom dynamics in major depressive disorder: Integrating factor graphs and learning methods. 1-9 - Paola Lecca, Angela Re, Gary C. Barker, Adaoha E. C. Ihekwaba:
A hierarchical model to predict the probability of germination of bacterial spores. 1-7 - Denisa Maderankova, Karel Sedlár, Martin Vítek, Helena Skutkova:
The identification of replication origin in bacterial genomes by cumulated phase signal. 1-5 - Sima Mehri, Curtis Larsen, Gregory J. Podgorski, Nicholas S. Flann:
Optimizing bioengineered vascular systems: A genetic algorithm approach. 1-7 - Xiangdong Zhou, Keith C. C. Chan, Danhong Zhu:
A multi-stage approach to detect gene-gene interactions associated with multiple correlated phenotypes. 1-8 - Tyler Kennedy Collins, Adel Zakirov, Joseph Alexander Brown, Sheridan K. Houghten:
Single-objective and multi-objective genetic algorithms for compression of biological networks. 1-8 - Oscal T.-C. Chen, Pin-Chih Chen, Yi-Ting Tsai:
Attention estimation system via smart glasses. 1-5 - Gábor Hullám, Gabriella Juhász, Bill Deakin, Peter Antal:
Structural and parametric uncertainties in full Bayesian and graphical lasso based approaches: Beyond edge weights in psychological networks. 1-8 - Katti Faceli, Tiemi C. Sakata, Julia Handl:
CVis - Towards a novel visualization tool to explore the relationship between input and output partitions in multi-objective clustering ensembles. 1-6 - John Orth, Sheridan K. Houghten, Lindsey Tulloch:
Evaluation of the salmon algorithm. 1-8
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