Table of Contents

• Identification of Synthetic Engineering in Prokaryotic Genomes Using Evolved Neural NetworksGary B. Fogel, Enoch S. Liu, Brad Abramson, Semar Petrus, Tyler Barrus, Granger G. Sutton, Todd Michael, Sterling Thomas. 1-8 [doi]
• Entanglement Mapping: A Novel Method to Detect Interacting SNPs in Genome-Wide StudiesEvanjelin Mahmoodi, Anthony M. Musolf, James D. Malley, Daniel S. Kiser, Dwight Stambolian, Qing Li, Joan E. Bailey-Wilson. 1-10 [doi]
• EvoDNN - Evolving Weights, Biases, and Activation Functions in a Deep Neural NetworkPeiyu Cui, Kay C. Wiese. 1-9 [doi]
• Inference of Genetic Networks using Random Forests: A Quantitative Weighting Method for Gene Expression DataShuhei Kimura, Kazuki Sota, Masato Tokuhisa. 1-8 [doi]
• geneDRAGNN: Gene Disease Prioritization using Graph Neural NetworksAwni Altabaa, David Huang, Ciaran Byles-Ho, Hani Khatib, Fabian Sosa, Ting Hu. 1-10 [doi]
• Ensemble Regression Modelling for Genetic Network InferenceHasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan. 1-8 [doi]
• Length-Based Substructure Mutation Policies for Improved RNA Design in Simulated AnnealingRyan McBride, Herbert H. Tsang. 1-9 [doi]
• Automatic Diverse Subset Selection From Enzyme Families by Solving the Maximum Diversity ProblemChristian Atallah, Katherine James, Zhen Ou, James Skelton, David Markham, James Finnigan, Simon Charnock, Anil Wipat. 1-9 [doi]
• Identification of the Prognostic Signatures for Isocitrate Dehydrogenase Mutant GliomaYasin Mamatjan, Mathew Voisin, Farshad Nassiri, Mira Salih, Fabio Y. Moraes, Severa Bunda, Risalet Tursun, Andreas von Deimling, Kenneth D. Aldape, Gelareh Zadeh. 1-7 [doi]
• Learning binary threshold networks for gene regulatory network modelingGonzalo A. Ruz, Eric Goles 0001. 1-8 [doi]
• Bleeding classification in Wireless Capsule Endoscopy Images based on Inception-ResNet-V2 and CNNsAnass Garbaz, Samira Lafraxo, Said Charfi, Mohamed El Ansari, Lahcen Koutti. 1-6 [doi]
• Evolving Lockdown Strategies to Minimize Infections in an EpidemicJames Sargant, Michael Dubé, Sheridan K. Houghten. 1-8 [doi]
• SetQuence & SetOmic: Deep Set Transformer-based Representations of Cancer Multi-OmicsNeringa Jurenaite, Daniel León Periñán, Veronika Donath, Sunna Torge 0001, René Jäkel. 1-9 [doi]
• Classification of Parkinson's Disease Patients and Effectiveness of Medication for Freezing of GaitOmid Mohamad Beigi, Lígia Reis Nóbrega, Sheridan K. Houghten, Adriano de Oliveira Andrade, Adriano Alves Pereira. 1-8 [doi]
• Analysis of Microwave Scans of Cancer Patients for Classification of Treated and Untreated TissueAnita Garland, Helder Oliveira, Svetlana N. Yanushkevich, Katrin Smith, Jeremie Bourqui, Elise C. Fear, Sarah Quirk, Michael Roumeliotis, Petra Grendarova, James Pinilla, Mark Lesiuk, Alison Gourley. 1-8 [doi]
• Big Biological Data: Need for a Reorientation of the Governance FrameworkEsra Demir. 1-7 [doi]
• Prioritizing Variants using Rough-set based Relevance Algorithm for GWASJyoti Sharma, Khadija Sana Hafeez, Sushmita Paul. 1-8 [doi]
• Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical ImplicationsChiara Gallese, Caro Fuchs, Simone G. Riva, Emanuela Foglia, Fabrizio Schettini, Lucrezia Ferrario, Elena Falletti, Marco S. Nobile. 1-9 [doi]
• TooT-BERT-M: Discriminating Membrane Proteins from Non-Membrane Proteins using a BERT Representation of Protein Primary SequencesHamed Ghazikhani, Gregory Butler. 1-8 [doi]
• Non-Invasive Blood Pressure Measurement Using A Mobile Phone CameraYuxuan Zhang, Xiao Zhang, Jinlian Du. 1-6 [doi]
• Evaluation of Frameworks for Epidemic Variants and Infectivity using an Evolutionary AlgorithmMichael Dubé, Sheridan K. Houghten. 1-9 [doi]
• HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein DataPreeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Vaibhav Anand, Sudhanshu Arya, Tanmay Singh. 1-8 [doi]
• Automated Portfolio Generation for Selection Hyper-heuristics: an Application to Protein Structure Prediction on 2D HP ModelMustafa Misir. 1-8 [doi]
• Integrating steady-state and dynamic gene expression data for improving genetic network modellingJaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan. 1-8 [doi]
• Automated Detection of ERP artifacts of auditory oddball paradigm by Unsupervised Machine Learning AlgorithmRafia Akhter, Faraz Ahmad, Fred R. Beyette. 1-8 [doi]
• DeePSLiM: A Deep Learning Approach to Identify Predictive Short-linear Motifs for Protein Sequence ClassificationAlexandru Filip, Seyedeh Shaghayegh Sadeghi, Alioune Ngom, Luis Rueda. 1-8 [doi]
• The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy ModelsCaro Fuchs, Simone Spolaor, Uzay Kaymak, Marco S. Nobile. 1-8 [doi]
• DDIPred: Graph Convolutional Network-Based Drug-drug Interactions Prediction Using Drug Chemical Structure EmbeddingSeyedeh Shaghayegh Sadeghi, Alioune Ngom. 1-6 [doi]
• Sensitivity Analysis of Stroke Predictors Using Structural Equation Modeling and Bayesian NetworksHelder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Mohammed Almekhlafi. 1-8 [doi]
• Multi-objective Optimization for Marker Panel Identification in Single-cell DataAndrea Tangherloni, Simone G. Riva, Brynelle Myers, Paolo Cazzaniga. 1-8 [doi]
• Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global OptimizationDaniele M. Papetti, Vasco Coelho, Daniel A. Ashlock, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Marco S. Nobile. 1-8 [doi]
• Towards a Classification Scheme for Inferring the Atomic Composition of Drug-like Molecules from their Quantum Derived Electronic PropertiesAlain B. Tchagang, Julio J. Valdés. 1-5 [doi]
• Compound Virtual Screening by Learning-to-Rank with Gradient Boosting Decision Tree and Enrichment-based Cumulative GainKairi Furui, Masahito Ohue. 1-7 [doi]
• Accurate Nuclei Segmentation in Breast Cancer Tumour BiopsiesSurya Kasturi, William T. Tran, Alex Shenfield. 1-8 [doi]
• Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density OutliersSpencer Angus Thomas. 1-8 [doi]
• A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq DataSimone G. Riva, Brynelle Myers, Paolo Cazzaniga, Andrea Tangherloni. 1-8 [doi]
• Handling Sparse Longitudinal Data with Irregular Missing Data - Analysis of Fecal Coliform Bacteria DataShuai You, Xiaolin Huang, Li Xing, Youlian Pan, Xuekui Zhang. 1-6 [doi]
• Predicting the specific substrate for transmembrane transport proteins using BERT language modelSima Ataei, Gregory Butler. 1-8 [doi]
• Exploring Multi-Objective Deep Reinforcement Learning Methods for Drug DesignAws Al Jumaily, Muhetaer Mukaidaisi, Andrew Vu, Alain Tchagang, Yifeng Li. 1-8 [doi]
• Deep Learning and Ensemble Method for Optic Disc and Cup SegmentationJongwoo Kim, Loc Q. Tran, Tunde Peto, Emily Y. Chew. 1-8 [doi]
• Composite Facility Location Problems: A Case Study of Personalised MedicineAndreea Avramescu, Richard Allmendinger 0001, Manuel López-Ibáñez 0001, Adriana G. Lopes. 1-8 [doi]
• Assessment of the Relationship Between Physical Behaviours, Psychological Factors, Medication Use, Body Composition and Weight Regain Following Bariatric SurgeryFatemeh ZareMehrjardi, Ryan E. R. Reid, Ross E. Andersen, James Alexander Hughes. 1-11 [doi]
• Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst. 1-8 [doi]