BICOB 2020: Volume Information

Proceedings of the 12th International Conference on Bioinformatics and Computational Biology

25 articles246 pagesPublished: March 11, 2020

Papers

Section 1A: Cancer Research
Magali Champion, Julien Chiquet, Pierre Neuvial, Mohamed Elati, François Radvanyi and Etienne Birmelé
1-10
Isis Narvaez-Bandera and Wandaliz Torres-Garcia
11-20
Ankita Sahu, Dibyabhaba Pradhan, Khalid Raza, Sahar Qazi, A K Jain and Saurabh Verma
21-32
Hsiu-Chuan Wei
33-40
Section 1B: Machine Learning in Bioinformatics
Roberto Rosas Romero and Edgar Guevara
41-48
Safa Shubbar, Chen Fu, Zhi Liu, Anthony Wynshaw-Boris and Qiang Guan
49-58
Fardina Alam and Amarda Shehu
59-68
Dylan Carpenter, Tess Thackray, Cecilia Kalthoff and Filip Jagodzinski
69-78
Section 1C: Bioinformatics I
Andrew Smith, Glen Ropella and C. Anthony Hunt
79-88
Daniel Berrios, Eric Weitz, Kirill Grigorev, Sylvain Costes, Samrawit Gebre and Afshin Beheshti
89-98
Yuping Lu, Charles Phillips, Elissa Chesler and Michael Langston
99-108
Mutlu Mete and Abdullah Arslan
109-118
Section 2A: Genome Analysis
Pan Zhang, Bruce Southey and Sandra Rodriguez-Zas
119-128
San Ha Seo and Saeed Salem
129-138
Zhixiu Lu, Michael Gilchrist and Scott Emrich
139-148
Ozgur Ekim Akman and Jonathan Edward Fieldsend
149-162
Section 2B: Neural Networks and Predictive Approaches in Bioinformatics
Nicholas Leiby, Ayaan Hossain and Howard M Salis
163-172
Xuyang Zhao, Linfeng Sui, Toshihisa Tanaka, Jianting Cao and Qibin Zhao
173-181
Manpriya Dua, Daniel Barbara and Amarda Shehu
182-191
Puzhou Wang
192-197
Section 2C: Bioinformatics II
Preethi Krishnan, Lopamudra Dutta, Andrew Smith, Glen Ropella, Ryan Kennedy and Anthony Hunt
198-207
Arun Govindaswamy, Wahhaj Farooq, Yiyang Wang, Ilyas Ustun, Daniela Raicu, Jacob Furst and Hongkyun Kim
208-216
Lopamudra Dutta, Preethi Krishnan, Andrew Smith, Ryan Kennedy, Glen Ropella and C. Anthony Hunt
217-225
Lawrence Yu-Min Liu, Zih-Yin Lai, Min-Hsuan Lin, Yu Shih and Yung-Jen Chuang
226-237
Qin Yu, Geng Chen, Jiaqi Li, Xiaolong Liu, Xuegong Zhang and Haiming Lu
238-246

Keyphrases

ADMET 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-in vivo extrapolation, in vitro selection, 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-ligand complex, protein structure prediction, protein tertiary structure, Protein Translation Rate, 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.