BICOB2022: Volume InformationProceedings of 14th International Conference on Bioinformatics and Computational Biology16 articles•164 pages•Published: March 22, 2022 Papers| Xiangjia Min, Theoni Kasamias, Mykaela Wagner, Atinuke Ogunbayi and Feng Yu 1-9 | | Pranita Patil and Maria Vaida 10-19 | | Ahmed Bin Zaman, Kenneth De Jong and Amarda Shehu 20-30 | | Gabriel Siqueira, Alexsandro Oliveira Alexandrino and Zanoni Dias 31-42 | | James Camp and Hisham Al-Mubaid 43-52 | | Anowarul Kabir, Toki Inan and Amarda Shehu 53-65 | | Sofia Borgato, Marco Bottino, Marta Lovino and Elisa Ficarra 66-75 | | Tamer Aldwairi, Bindu Nanduri, Mahalingam Ramkumar and Andy Perkins 76-85 | | Minal Khatri, Adam Voshall, Surinder K. Batra, Sukhwinder Kaur and Dr. Jitender S. Deogun 86-95 | | Brad V. Bellomo, Helen Piontkivska and Arvind K. Bansal 96-107 | | Chanaka Bulathsinghalage and Lu Liu 108-115 | | Saeed Khalilian, Mohammad Nasr Isfahani, Zahra Moti, Arian Baloochestani, Alireza Chavosh and Zahra Hemmatian 116-125 | | Ramin Dehghanpoor, Fatemeh Afrasiabi and Nurit Haspel 126-135 | | Reza Bagherian Azhiri, Mohammad Esmaeili and Mehrdad Nourani 136-145 | | Zigeng Wang, Xia Xiao, Syam Nukavarapu, Sangamesh Kumbar and Sanguthevar Rajasekaran 146-154 | | Audra Addison and Tayo Obafemi-Ajayi 155-164 |
KeyphrasesAlphaFold2, alternative splicing, Ambiguous Sequences, Antibody sequences, approximation algorithm, Autoencoder, Biomaterial, breast cancer imaging, Classification, Classifier, Clustering2, conformation sampling, Conformational Space of Proteins, COVID-19, COVID-19 variants, Cross-reactivity, DDSM, deep learning, dimensionality reduction, Disease outcomes, Electromyography (EMG), Electronic Health Records, evolutionary algorithm2, FCA, feature extraction, fine-tuning, gene expression, gene regulatory networks, genes, Genetic Algorithm, genome rearrangement, Granger causality, graph neural networks on timeseries data, indel, Intergenic Regions, LDA, machine learning, Mapper algorithm, Mapping, marker genes, medical history factors, miRNA, miRNA Target Site, MNIST, Multispecificity, neural network, Optimization, pre-training dataset, Principal Component Analysis, protein conformation, protein tertiary structure, Rapidly Exploring Random Tree Search, reversal, RNA-seq, RNA sequencing, SARS-CoV-2 variants, single-cell RNA sequencing, SNP, Soybean, structure quality analysis, tissue engineering, topological data analysis, transcriptome2, Transfer Learning, Transposition, traumatic brain injury, variant clustering. |
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