BICOB2022: Volume Information

Proceedings of 14th International Conference on Bioinformatics and Computational Biology

16 articles164 pagesPublished: 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

Keyphrases

AlphaFold2, 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.