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ORCIDCIBCB 2024: Natal, Brazil
- IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2024, Natal, Brazil, August 27-29, 2024. IEEE 2024, ISBN 979-8-3503-5663-2
- Oscar Emilio Arrúa Arce, Andrej Aderhold, Adriano Velasque Werhli, Karina dos Santos Machado:
RFL-Score: Random Forest with Lasso Scoring Function for Protein-Ligand Molecular Docking. 1-8 - Renan Soares de Andrades, Mariana Recamonde Mendoza:
Predicting Cancer Driver Genes: Leveraging Graph Convolutional Networks and Ensemble Learning. 1-8 - Jorge Cubillos-Chaparro, Márcio Dorn, Manuel Villalobos-Cid, Mario Inostroza-Ponta:
A Multiobjective Evolutionary Algorithm for Colon Cancer Biomarkers Identification on Gene Expression Data. 1-8 - Lucas Moraes dos Santos, Diego C. B. Mariano, Raquel Cardoso de Melo Minardi:
ViPeC: Vision transformer-based approach for Peptide-protein interface Classification. 1-8 - Sai Balaji, Christopher Sun, Anaiy Somalwar:
Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability. 1-8 - Jai Prakash Veerla, Partha Sai Guttikonda, Amir Hajighasemi, Jillur Rahman Saurav, Aarti Darji, Cody T. Reynolds, Mohamed Mohamed, Mohammad Sadegh Nasr, Helen H. Shang, Jacob M. Luber:
SpatialVisVR: An Immersive, Multiplexed Medical Image Viewer with Contextual Similar-Patient Search. 1-8 - Noman Ahmad, Ehsan Mamatjan, Tursun Wali, Yasin Mamatjan:
The Development of CanPrompt Strategy in Large Language Models for Cancer Care. 1-6 - João Vitor Ferreira Cavalcante, Iara Dantas de Souza, Diego A. A. Morais, Rodrigo J. S. Dalmolin:
EURYALE: A versatile Nextflow pipeline for taxonomic classification and functional annotation of metagenomics data. 1-7 - Jesus Antonio Alvarado-Huayhuaz, Miquéias Amorim Santos Silva, Elvis Mauricio Jimenez Peña, Joel Claudio Rengifo Maraví, Angella M. Cordova-Muñoz, Karina dos Santos Machado:
Artificial Neural Networks for the Rapid Prediction of Possible Ferroptosis Inducers Using the GPx4 Enzyme. 1-6 - Inês Branco Martins, Jorge Miguel Silva, João Rafael Almeida:
A comprehensive study of databases to assess the reliability of metagenomic tools. 1-6 - Albert Guo, Megan Fowler, Kay C. Wiese:
AGED-ViT: A Novel Transformer-Based Framework for Diagnosis of Alzheimer's Disease by Leveraging Gene Expression Data. 1-7 - Stephen Obonyo, Nicolas Jouandeau, Dickson Owuor:
RNA Generative Modeling With Tree Search. 1-9 - Colin Buenvenida, Brandon Kong, Shane Jung, Kaiwen Kam, Jacob D. Furst, Thiruvarangan Ramaraj:
Clustering density based gene expression data in the mouse brainstem and comparison to actual neuroanatomy. 1-9 - Zachary Schwehr:
Equivariant Graph Attention Networks with Structural Motifs for Predicting Cell Line-Specific Synergistic Drug Combinations. 1-8 - Stefanos Digenis, Dimitris Grigoriadis, Marios Miliotis, Artemis G. Hatzigeorgiou:
A Machine Learning algorithm for Predicting Translation Initiation Start Positions. 1-5 - Rafael Stubs Parpinelli, Nicholas Wojeicchowski, Nilcimar Neitzel Will:
Protein Structure Prediction Using Dynamic Speciation Evolutionary Algorithm with Aggregated Problem Information. 1-8 - Tony E. Astuhuaman Davila, Daniel B. Hier, Tayo Obafemi-Ajayi:
Towards Explainability of Dimension Reduction Plots of Unsupervised Learning Model Outcomes. 1-9 - Nicolò Stranieri, Francesca M. Buffa, Andrea Tangherloni:
Forest-based Evolutionary Algorithm for Reconstructing Boolean Gene Regulatory Networks. 1-8 - Farhana Yasmeen, Michael Dubé, Sheridan K. Houghten:
Immunity Vanishing Act: Epidemic Variant and Immunity Analysis via Evolutionary Computation. 1-8 - Felipe James de Almeida Vasquez, Arthur Scorsolini Fares, Silvana Giuliatti:
Machine Learning-Enhanced Molecular Dynamics Analysis of Residue Variant Effects on Human ACE2 and Furin Protein Interactions with SARS-CoV-2 Spike. 1-8 - Silvia Multari, Riza Özçelik, Angelica Mazzolari, Marco Salvatore Nobile, Francesca Grisoni:
Predicting Metabolic Reactions with a Molecular Transformer for Drug Design Optimization. 1-8 - Tristan Navikevicius, Lígia Reis Nóbrega, Sheridan K. Houghten, Adriano de Oliveira Andrade, Adriano Alves Pereira:
Generating Models of Human Gait in Patients with Parkinson's Disease using Genetic Programming. 1-9 - Priyamvada Daga, Mai Oudah:
Machine Learning and Gut Microbiome for Breast Cancer Screening. 1-7 - Gonzalo A. Ruz, Nitesh V. Chawla:
SMOTE for gene regulatory network sampling. 1-8 - Sören Richard Stahlschmidt, Benjamin Ulfenborg, Göran Falkman, Jane Synnergren:
Domain Generalization of Deep Learning Models Under Subgroup Shift in Breast Cancer Prognosis. 1-8 - Bhumika Gupta, Pralaypati Ta, Keerthi Ram, Mohanasankar Sivaprakasam:
Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs. 1-8 - Ngoc Do, Daniel B. Hier, Tayo Obafemi-Ajayi:
Evaluation of Transfer Learning Models on Traumatic Brain Injury Severity Classification. 1-8 - Silvana C. S. Cardoso, Douglas Silva Domingues, Alexandre Rossi Paschoal, Carlos N. Fischer, Ricardo Cerri:
Classification of LTR Retrotransposons via Interaction Prediction. 1-8 - Eliana Raizman, Yiming Peng, Austin Deng:
Towards Equitable Diagnosis: Bias Evaluation and Mitigation in Skin Cancer Classification. 1-9 - Maria Leandra Guateque, Antonio Basílio de Miranda, Marcos Catanho, Edward Hermann Haeusler, Sérgio Lifschitz:
An Approach for Modeling and Analysis of Insulin Biosynthesis using Petri Nets. 1-8 - Ignacio Sánchez-Gendriz, Ingridy M. P. Barbalho, Felipe Fernandes, Milena Magalhães Augusto, Maria de Jesus Gonçalves, Ivonaldo L. Barbosa Lima, Danilo Alves Pinto Nagem, Gleyson José Pinheiro Caldeira Silva, Ana Raquel Rodrigues Lindquist, Luca Freire Alves, Luiz Affonso Guedes, Ricardo Alexsandro de Medeiros Valentim:
Methods for Analyzing Swallowing Sound in Dysphagia Care: A Telemedicine Approach. 1-8 - Riccardo Smeriglio, Joana Rosell-Mirmi, Petia Radeva, Jordi Abante:
Leveraging protein-protein interactions in phenotype prediction through graph neural networks. 1-8 - Kedar Chintalapati:
Machine Learning Identifies Novel MicroRNA Biomarkers Predictive for Gastric Cancer. 1-5 - Steve Stavropoulos, Elissavet Zacharopoulou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Artemis G. Hatzigeorgiou:
Leveraging Large Language Models for Information Extraction: Identifying microRNA - Gene Interactions in Biomedical Literature. 1-7 - Nazar Zaki, Anusuya Krishnan, Rafat Damseh, Wenjian Qin, Ayham Zaitouny, Isaias Ghebrehiwet:
Evaluating the Segmentation Performance of Gross Volume Tumor in Cervical Cancer Using MRI Images. 1-5 - Andrea Tangherloni, Paolo Cazzaniga, Nicolò Stranieri, Francesca M. Buffa, Marco S. Nobile:
A Fast Feature Selection for Interpretable Modeling Based on Fuzzy Inference Systems. 1-8 - Timothe Petitjean, Hugo Millet, Mariana F. P. Araújo, Renan Cipriano Moioli, Patrícia Amâncio Vargas, Caetano Mazzoni Ranieri:
A Closed-Loop Deep Brain Stimulation Biomedical Model of Parkinson's Disease. 1-8 - Michael Dubé, Sheridan K. Houghten, Steffen P. Graether:
Driving Evolution Towards Discovery of Patterns in Sets of Weakly-Conserved DNA Sequences. 1-9
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