Proceedings of the 12th International Conference on Bioinformatics and Computational Biology25 articles•246 pages•Published: March 11, 2020 PapersSection 1A: Cancer Research | Pages 1-10 | Pages 11-20 | Pages 21-32 | Pages 33-40 | Section 1B: Machine Learning in Bioinformatics | Pages 41-48 | Pages 49-58 | Pages 59-68 | Pages 69-78 | Section 1C: Bioinformatics I | Pages 79-88 | Pages 89-98 | Pages 99-108 | Pages 109-118 | Section 2A: Genome Analysis | Pages 119-128 | Pages 129-138 | Pages 139-148 | Pages 149-162 | Section 2B: Neural Networks and Predictive Approaches in Bioinformatics | Pages 163-172 | Pages 173-181 | Pages 182-191 | Pages 192-197 | Section 2C: Bioinformatics II | Pages 198-207 | Pages 208-216 | Pages 217-225 | Pages 226-237 | Pages 238-246 |
KeyphrasesADMET properties, Age-related research, agent-based, Aging, Analysis of high-throughput biological data, antimicrobial peptide recognition, Autism, Biclustering, bifurcation analysis, Bioinformatics2, Biological Data Clustering, Biomarker ALT release on Drug-Induced-Liver-Injury, Biomimetic Software Analogs, Boolean modelling, breast cancer2, C. elegans, CAI, cancer genomics, cancer systems biology, cellular exposure2, circadian clocks, cluster analysis, co-expression network, codon usage bias, computational biology2, Convolution Layer, Convolutional Neural Network2, COX-2 enzyme, Data Mining, deep learning, Deregulation, drug resistance, Dynamic Time Warping, Electroencephalogram, Epileptic focus localization, epileptic seizure prediction, Experiment Agent, feature fusion, Frequent Dense Modules, functional Near Infra-Red Spectroscopy, gene co-expression networks, gene expression, gene regulatory networks2, GeneLab, genotype, GPU, Graph Theoretical Algorithms, graphical lasso, Healthspan, heart regeneration, hepatic clearance, iEEG, in silico, in vitro selection, in vitro-in vivo extrapolation, LDA, lifespan, Liver Disease, machine learning, Magnetic Resonance Image, MCF-7, MD simulation, Medical Informatics, Microvascular Invasion, Model Mechanisms, modeling, mRNA abundance, multi-instance learning, multi-objective optimisation, multi-phase features, Mutaion Bias, NASA, nature-inspired computation, nematode, neural network, numerical method, numerical simulation, omics, Ontological Enrichment, parallel programming, pharmacokinetics, phenotype, PhGC, Prime MMGBSA, promoter, protein structure prediction, protein tertiary structure, Protein Translation Rate, Protein-ligand complex, Ramachandran plot, recurrent layer, rigidity analysis, RNA, RNA secondary structure, RNA sequencing, selection, sequence model, simulation2, spaceflight, Support Vector Machine, synthetic biology, systems biology, Tai, texture features, The Paraclique Algorithm, topic modeling, transcript-level, transcription rate, Transcriptomic Data Analysis, treatment-specific network, unsupervised learning, virtual experimentation, Virtual Liver, virtual screening, visualization, zebrafish |
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