BiCOB 2019: Author Index| Author | Papers |
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| A | | Akhter, Nasrin | Connecting Molecular Energy Landscape Analysis with Markov Model-based Analysis of Equilibrium Structural Dynamics | | Aldarwish, Hassan | Identifying DNA Sequence Motifs of Pdx-1 and NeuroD1 Transcription Factors | | Aldwairi, Tamer | Prediction Of Novel Pirna Rat Clusters Based On Mouse Pirna Clusters Using Downstream and Upstream Analysis | | Alkhamis, Mohammad | gcn.MOPS: Accelerating cn.MOPS with GPU | | Arandjelovic, Ognjen | Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles | | B | | Baniasadi, Amirali | gcn.MOPS: Accelerating cn.MOPS with GPU | | Bodendorf, Freimut | Predicting high-cost patients by Machine Learning: A case study in an Australian private hospital group | | Britt, Adrian | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine | | Brook, Glenn | HPC-BLAST: Distributed BLAST for Modern HPC Clusters. | | Bryant, Bobby | Robust Fuzzy Cluster Ensemble on Cancer Gene Expression Data | | Burdyshaw, Chad | HPC-BLAST: Distributed BLAST for Modern HPC Clusters. | | C | | Caie, Peter | Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles | | Chun, Fang | Prediction of MoRFs Based on n-gram Convolutional Neural Network | | Clark, Patricia | A New Look at Codon Usage and Protein Expression | | Clement, Mark | The Polygraph: A Data Structure for Genome Alignment and Variation Detection | | Costa, Evaldo | DALIGNER Performance Evaluation on Intel Xeon Phi Architecture | | D | | Dimitriou, Neofytos | Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles | | Donovan, Grace | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine | | E | | Eigner, Isabella | Predicting high-cost patients by Machine Learning: A case study in an Australian private hospital group | | Elias, Elias | An Enrichment Method For Mapping Ambiguous Reads To Reference Genome For NGS Analysis | | Emrich, Scott | A New Look at Codon Usage and Protein Expression | | F | | Formanowicz, Dorota | Petri nets and ODE as complementary tools in analysis of signaling pathways | | Formanowicz, Piotr | Petri nets and ODE as complementary tools in analysis of signaling pathways | | Fujimoto, Masaki | The Polygraph: A Data Structure for Genome Alignment and Variation Detection | | G | | Gao, Shanshan | Understand Effective Coverage by Mapped Reads using Genome Repeat Complexity | | Gutowska, Kaja | Petri nets and ODE as complementary tools in analysis of signaling pathways | | H | | Harris, Elena | Identifying DNA Sequence Motifs of Pdx-1 and NeuroD1 Transcription Factors | | Harris Jr, Frederick C. | Robust Fuzzy Cluster Ensemble on Cancer Gene Expression Data | | Harrison, David | Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles | | Hoffmann, Federico | Prediction Of Novel Pirna Rat Clusters Based On Mouse Pirna Clusters Using Downstream and Upstream Analysis | | Horton, Mitchel | HPC-BLAST: Distributed BLAST for Modern HPC Clusters. | | K | | Kabir, Kazi Lutful | Connecting Molecular Energy Landscape Analysis with Markov Model-based Analysis of Equilibrium Structural Dynamics | | Keller, David | Identifying DNA Sequence Motifs of Pdx-1 and NeuroD1 Transcription Factors | | Khan, Abia | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine | | Kogut, Daria | Petri nets and ODE as complementary tools in analysis of signaling pathways | | L | | Li, Caihong | Prediction of MoRFs Based on n-gram Convolutional Neural Network | | Li, Xuehui | An Enrichment Method For Mapping Ambiguous Reads To Reference Genome For NGS Analysis | | Liang, Zifeng | Comparison of Type I Interferon Expression in Adult and Neonatal Mice during Respiratory Viral Infection | | Liu, Yuan | An Enrichment Method For Mapping Ambiguous Reads To Reference Genome For NGS Analysis | | Lyman, Cole | The Polygraph: A Data Structure for Genome Alignment and Variation Detection | | M | | Ma, Yongchao | An Enrichment Method For Mapping Ambiguous Reads To Reference Genome For NGS Analysis | | Manthey, Frank | An Enrichment Method For Mapping Ambiguous Reads To Reference Genome For NGS Analysis | | McSweeney, Benjamin | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine | | Meedeniya, Dulani | A SVM Model for Candidate Y-chromosome Gene Discovery in Prostate Cancer | | Moriwaki, Yoshitaka | Prediction of MoRFs Based on n-gram Convolutional Neural Network | | N | | Nguyen, Tin | Robust Fuzzy Cluster Ensemble on Cancer Gene Expression Data | | P | | Perera, Indika | A SVM Model for Candidate Y-chromosome Gene Discovery in Prostate Cancer | | Perkins, Andy | Prediction Of Novel Pirna Rat Clusters Based On Mouse Pirna Clusters Using Downstream and Upstream Analysis | | Phan, Vinhthuy | Understand Effective Coverage by Mapped Reads using Genome Repeat Complexity | | Poterała-Hejmo, Aleksandra | Petri nets and ODE as complementary tools in analysis of signaling pathways | | R | | Rajapaksa, Sandun | A SVM Model for Candidate Y-chromosome Gene Discovery in Prostate Cancer | | Rasanjana, Wageesha | A SVM Model for Candidate Y-chromosome Gene Discovery in Prostate Cancer | | Rekapalli, Bhanu | HPC-BLAST: Distributed BLAST for Modern HPC Clusters. | | Rodriguez, Anabel | A New Look at Codon Usage and Protein Expression | | Rossetto, Allison | Improving Classification with CNNs using Wavelet Pooling with Nesterov-Accelerated Adam | | S | | Salsman, Evan | An Enrichment Method For Mapping Ambiguous Reads To Reference Genome For NGS Analysis | | Santos, Nicolette | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine | | Sawyer, Shane | HPC-BLAST: Distributed BLAST for Modern HPC Clusters. | | Scully, Tara | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine | | Shehu, Amarda | Equipping Decoy Generation Algorithms for Template-free Protein Structure Prediction with Maps of the Protein Conformation Space Connecting Molecular Energy Landscape Analysis with Markov Model-based Analysis of Equilibrium Structural Dynamics | | Shimizu, Kentaro | Prediction of MoRFs Based on n-gram Convolutional Neural Network | | Silva, Gabriel | DALIGNER Performance Evaluation on Intel Xeon Phi Architecture | | T | | Teixeira, Marcello | DALIGNER Performance Evaluation on Intel Xeon Phi Architecture | | Theethira Poonacha, Kavery Nivana | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine | | Tran, Quang | Understand Effective Coverage by Mapped Reads using Genome Repeat Complexity | | W | | Wickramasinghe, Nilmini | Predicting high-cost patients by Machine Learning: A case study in an Australian private hospital group | | Wright, Gabriel | A New Look at Codon Usage and Protein Expression | | Y | | Yan, Changhui | An Enrichment Method For Mapping Ambiguous Reads To Reference Genome For NGS Analysis | | Yan, Yan | Robust Fuzzy Cluster Ensemble on Cancer Gene Expression Data | | Yue, Xingzhi | Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles | | Yurk, Valerie | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine | | Z | | Zaman, Ahmed Bin | Equipping Decoy Generation Algorithms for Template-free Protein Structure Prediction with Maps of the Protein Conformation Space | | Zhou, Wenjin | Improving Classification with CNNs using Wavelet Pooling with Nesterov-Accelerated Adam | | Ś | | Śmieja, Jarosław | Petri nets and ODE as complementary tools in analysis of signaling pathways |
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