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ORCID13th BIOSTEC BIOINFORMATICS 2020: Valletta, Malta
- Elisabetta De Maria, Ana Fred, Hugo Gamboa:
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 3: BIOINFORMATICS, Valletta, Malta, February 24-26, 2020. SCITEPRESS 2020, ISBN 978-989-758-398-8
Invited Speakers
- Roy A. Ruddle:
Visualizing Health Data - From Fundamental Research to Successful Applications. BIOSTEC 2020: 5 - Helena Canhão:
Patient Innovation - When Patients Innovate and Improve Their Lives. BIOSTEC 2020: 7 - Eduardo Aguilar, Bhalaji Nagarajan
, Rupali Khatun, Marc Bolaños, Petia Radeva:
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. 9-16 - Andreas Holzinger:
Towards Robust Machine Learning in the Medical Domain. BIOSTEC 2020: 17
Papers
- Ronny Lorenz, Christoph Flamm, Ivo L. Hofacker, Peter F. Stadler:
Efficient Computation of Base-pairing Probabilities in Multi-strand RNA Folding. 23-31 - Pasquale Bove, Alessio Micheli, Paolo Milazzo, Marco Podda:
Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks. 32-43 - Malgorzata Wnetrzak, Pawel Blazej, Pawel Mackiewicz:
Properties of the Standard Genetic Code and Its Alternatives Measured by Codon Usage from Corresponding Genomes. 44-51 - Dongsheng Zhao, Fan Tong, Zheheng Luo, Sheng Liu, Wei Song:
BROGUE: A Platform for Constructing and Visualizing "Gene-Mutation-Disease" Relation Knowledge Graphs to Support Biomedical Research and Clinical Decisions. 52-59 - Stefani Kostadinovska, Slobodan Kalajdziski, Monika Simjanoska:
Gene Co-expression Analysis for Lung Cancer Biomarkers Detection. 60-67 - George D. Montañez, Laina Sanders, Howard Deshong:
Minimal Complexity Requirements for Proteins and Other Combinatorial Recognition Systems. 71-78 - Trang T. Le, Hoyt Gong, Patryk Orzechowski, Elisabetta Manduchi, Jason H. Moore:
Expanding Polygenic Risk Scores to Include Automatic Genotype Encodings and Gene-gene Interactions. 79-84 - Kam-Heung Sze, Zhiqiang Xiong, Jinlong Ma, Gang Lu, Wai-Yee Chan, Hongjian Li:
Influence of Data Similarity on the Scoring Power of Machine-learning Scoring Functions for Docking. 85-92 - Letícia Martins Raposo, Mônica Barcellos Arruda, Rodrigo de Moraes Brindeiro, Flavio Fonseca Nobre:
SIRA-HIV: A User-friendly System to Evaluate HIV-1 Drug Resistance from Next-generation Sequencing Data. 93-100 - Naveed Ahmed Azam, Rachaya Chiewvanichakorn, Fan Zhang, Aleksandar Shurbevski, Hiroshi Nagamochi, Tatsuya Akutsu:
A Novel Method for the Inverse QSAR/QSPR based on Artificial Neural Networks and Mixed Integer Linear Programming with Guaranteed Admissibility. 101-108 - Hsin-Ting Chung, Yuh-Jyh Hu:
A Grid-based Simulation Model for the Evolution of Influenza A Viruses. 109-116 - Morihiro Hayashida, Hitoshi Koyano, Jose C. Nacher:
Measuring the Similarity of Proteomes using Grammar-based Compression via Domain Combinations. 117-122 - Ruowang Li, Jiayi Tong, Rui Duan, Yong Chen, Jason H. Moore:
Evaluation of Phenotyping Errors on Polygenic Risk Score Predictions. 123-130 - Shula Shazman:
A Machine Learning Approach to Select the Type of Intermittent Fasting in Order to Improve Health by Effects on Type 2 Diabetes. 131-137 - Arata Andrade Saraiva, D. B. S. Santos, A. A. Francisco, José Vigno Moura Sousa, Nuno M. Fonseca Ferreira, Salviano Soares, António Valente:
Classification of Respiratory Sounds with Convolutional Neural Network. 138-144 - Jordi Bartolomé, Rui Alves, Francesc Solsona:
EasyModel 1.1: User-friendly Stochastic and Deterministic Simulations for Systems Biology Models. 145-149 - Luise Odenthal, Jens Allmer, Malik Yousef:
A Machine Learning-based Approach for the Categorization of MicroRNAs to Their Species of Origin. 150-157 - Vinay Gautam, Shiting Long, Pekka Orponen:
RuleDSD: A Rule-based Modelling and Simulation Tool for DNA Strand Displacement Systems. 158-167 - Arata Andrade Saraiva, D. B. S. Santos, Pedro Pimentel, José Vigno Moura Sousa, Nuno M. Fonseca Ferreira, João do E. S. Batista Neto, Salviano Soares, António Valente:
Classification of Optical Coherence Tomography using Convolutional Neural Networks. 168-175 - Takashi Naka:
Validity of the Michaelis-Menten Approximation for the Stability Analysis in Regulatory Reaction Networks. 176-182 - José Fernando dos Anjos Rodrigues, Letícia Martins Raposo, Flavio Fonseca Nobre:
Development of HIV-1 Coreceptor Tropism Classifiers: An Approach to Improve X4 and R5X4 Viruses Prediction. 183-187 - Shu Jiang, Yijun Xie:
Variable Selection based on a Two-stage Projection Pursuit Algorithm. 188-193 - Alicia Quirós, Armando Pérez de Prado, Natalia Montoya, José M. de la Torre Hernandez:
Multi-state Models for the Analysis of Survival Studies in Biomedical Research: An Alternative to Composite Endpoints. 194-199 - Arata Andrade Saraiva, Soares Jeferson, Felipe Miranda de Jesus Castro, José Vigno Moura Sousa, Nuno M. Fonseca Ferreira, João do E. S. Batista Neto, Salviano Soares, António Valente:
Chikungunya Virus Inhibitor Study based on Molecular Docking Experiments. 200-205 - Frantisek Kajánek, Ivan Cimrák:
Advancements in Red Blood Cell Detection using Convolutional Neural Networks. 206-211 - Tibor Postek, Frantisek Kajánek, Mariana Ondrusová:
Detection of Lattice-points inside Triangular Mesh for Variable-viscosity Model of Red Blood Cells. 212-217 - Jolanta Kawulok, Michal Kawulok:
Metagenomic Clustering in Search of Common Origin. 218-225 - Alexander Bernier, Adrian Thorogood:
Sharing Bioinformatic Data for Machine Learning: Maximizing Interoperability through License Selection. 226-232 - Andrzej Swierniak, Marek Bonk, Damian Borys:
3D Spatial Dependencies Study in the Hawk and Dove Model. 233-238 - Yao-Gen Shu, Ming Li, Zhong-Can Ou-Yang:
Theoretical Study of the Fidelity of Transcription. 239-241 - Caleb Vununu, Suk-Hwan Lee, Ki-Ryong Kwon:
A Deep-learning based Method for the Classification of the Cellular Images. 242-245 - Adrian Quintana, Vinh Nguyen, Tommy Dang, Chiquito Crasto:
PIACAN: Pathway Integration and Analysis of Cancer Networks. 246-252 - Igor Goryanin, Anatoly A. Sorokin, Olga Vasieva:
Using ASAR for Analysis of Electrogenic and Human Gut Microbial Communities. 253-259 - Radmila Juric, Elisabetta Ronchieri, Gordana Blagojevic Zagorac, Hana Mahmutefendic, Pero Lucin:
Predictive Technologies and Biomedical Semantics: A Study of Endocytic Trafficking. 260-267 - Radmila Juric:
Adding Value to Translational Informatics through the Semantic Management of Drug to Drug Interaction. 268-275
Workshop on COMP2CLINIC: Biomedical Researchers & Clinicians Closing The Gap Between Translational Research And Healthcare Practice
- Ayoub Bagheri, Arjan Sammani, Peter G. M. van der Heijden, Folkert W. Asselbergs, Daniel L. Oberski:
Automatic ICD-10 Classification of Diseases from Dutch Discharge Letters. 281-289 - Manu Goyal, Moi Hoon Yap, Saeed Hassanpour:
Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks. 290-295 - Zhucheng Zhan, Noshad Hossenei, Olivier Poirion, Maria Westerhoff, Eun-Young Choi, Travers Ching, Lana X. Garmire:
Two-stage Neural-network based Prognosis Models using Pathological Image and Transcriptomic Data: An Application in Hepatocellular Carcinoma Patient Survival Prediction. BIOINFORMATICS 2020: 296-301 - Joshua J. Levy, Christopher R. Jackson, Aravindhan Sriharan, Brock C. Christensen, Louis J. Vaickus:
Preliminary Evaluation of the Utility of Deep Generative Histopathology Image Translation at a Mid-sized NCI Cancer Center. 302-311 - Radmila Juric, Eton Williams, Inhwa Kim:
Semantic Overlapping in Translational Bioinformatics Applied to the Matching between Clinical Trial Eligibility Criteria and Patient Needs. 315-322
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