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- International Conference on Database and Expert Systems Applications (DEXA)
also: International Workshop on Biological Data Management (BIDM @ DEXA)
also: International Workshop on Biological Knowledge Discovery and Data Mining (BIOKDD @ DEXA) - Database - The Journal of Biological Databases and Curation
- IEEE Symposium on Biological Data Visualization (BioVis)
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Publication search results
found 1,707 matches
- 2024
- Ayush Kumar Mandwal:
Modeling and data analysis of emergent properties in different biological systems. University of Calgary, Alberta, Canada, 2024 - Maha Nssibi, Ghaith Manita, Amit Chhabra, Seyedali Mirjalili, Ouajdi Korbaa:
Gene selection for high dimensional biological datasets using hybrid island binary artificial bee colony with chaos game optimization. Artif. Intell. Rev. 57(3): 51 (2024) - David G. Aragones, Miguel Palomino-Segura, Jon Sicilia, Georgiana Crainiciuc, Iván Ballesteros, Fátima Sánchez-Cabo, Andrés Hidalgo, Gabriel Fernández Calvo:
Variable selection for nonlinear dimensionality reduction of biological datasets through bootstrapping of correlation networks. Comput. Biol. Medicine 168: 107827 (2024) - Tae Hoon Oh:
Quantitative comparison of reinforcement learning and data-driven model predictive control for chemical and biological processes. Comput. Chem. Eng. 181: 108558 (2024) - Srijit Seal, Ola Spjuth, Layla Hosseini-Gerami, Miguel García-Ortegón, Shantanu Singh, Andreas Bender, Anne E. Carpenter:
Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA Drug-Induced Cardiotoxicity Rank. J. Chem. Inf. Model. 64(4): 1172-1186 (2024) - Junhan Wen, Camiel R. Verschoor, Chengming Feng, Irina-Mona Epure, Thomas Abeel, Mathijs de Weerdt:
The Growing Strawberries Dataset: Tracking Multiple Objects with Biological Development over an Extended Period. WACV 2024: 7089-7099 - Aleksandar Poleksic:
Fast Dual-Regularized Autoencoder for Sparse Biological Data. CoRR abs/2401.16664 (2024) - Takuma Yagi, Misaki Ohashi, Yifei Huang, Ryosuke Furuta, Shungo Adachi, Toutai Mitsuyama, Yoichi Sato:
FineBio: A Fine-Grained Video Dataset of Biological Experiments with Hierarchical Annotation. CoRR abs/2402.00293 (2024) - Ivan S. Maksymov:
Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Data. CoRR abs/2402.03319 (2024) - Dingfan Chen, Marie Oestreich, Tejumade Afonja, Raouf Kerkouche, Matthias Becker, Mario Fritz:
Towards Biologically Plausible and Private Gene Expression Data Generation. CoRR abs/2402.04912 (2024) - Michiel Stock, Dimitri Boeckaerts, Pieter Dewulf, Steff Taelman, Maxime Van Haeverbeke, Wim Van Criekinge, Bernard De Baets:
Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data. CoRR abs/2402.17572 (2024) - 2023
- Sarah Mubeen:
Contextualizing and interpreting biological data with pathway knowledge and network algorithms. University of Bonn, Germany, 2023 - Jolene Ranek:
Resolving Biological Trajectories in Single-cell Data using Feature Selection and Multi-modal Integration. University of North Carolina, Chapel Hill, USA, 2023 - Franck Simon:
Découverte causale sur des jeux de données classiques et temporels. Application à des modèles biologiques. (Causal discovery on classical and temporal datasets. Application to biological models). Sorbonne University, Paris, France, 2023 - Heval Atas Güvenilir:
Integration and analysis of biological data for computational drug discovery (İşlemsel ilaç keşfi için biyolojik verinin entegrasyonu ve analizi). Middle East Technical University, Turkey, 2023 - Xingfan Huang:
Computational methods for analyzing high-dimensional datasets derived from molecular profiling of biological systems. University of Washington, USA, 2023 - Imene Zenbout, Abdelkrim Bouramoul, Souham Meshoul, Mounira Amrane:
Efficient Bioinspired Feature Selection and Machine Learning Based Framework Using Omics Data and Biological Knowledge Data Bases in Cancer Clinical Endpoint Prediction. IEEE Access 11: 2674-2699 (2023) - Jingxuan Bao, Changgee Chang, Qiyiwen Zhang, Andrew J. Saykin, Li Shen, Qi Long:
Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis. Briefings Bioinform. 24(2) (2023) - Victoria A Kobets, Sergey V. Ulianov, Aleksandra A. Galitsyna, Semen A. Doronin, Elena A. Mikhaleva, Mikhail S. Gelfand, Yuri Y. Shevelyov, Sergey V. Razin, Ekaterina E. Khrameeva:
HiConfidence: a novel approach uncovering the biological signal in Hi-C data affected by technical biases. Briefings Bioinform. 24(2) (2023) - Marie-Pier Scott-Boyer, Pascal Dufour, François Belleau, Régis Ongaro-Carcy, Clément Plessis, Olivier Périn, Arnaud Droit:
Use of Elasticsearch-based business intelligence tools for integration and visualization of biological data. Briefings Bioinform. 24(6) (2023) - Jeffrey W. Lockhart:
Because the machine can discriminate: How machine learning serves and transforms biological explanations of human difference. Big Data Soc. 10(1): 205395172311550 (2023) - Muriel Rabone, Tammy Horton, Daniel O. B. Jones, Erik Simon-Lledó, Adrian G. Glover:
A review of the International Seabed Authority database DeepData from a biological perspective: challenges and opportunities in the UN Ocean Decade. Database J. Biol. Databases Curation 2023 (2023) - Zhengpeng Zeng, Jiamin Hu, Miyuan Cao, Bingbing Li, Xiting Wang, Feng Yu, Longfei Mao:
MantaID: a machine learning-based tool to automate the identification of biological database IDs. Database J. Biol. Databases Curation 2023 (2023) - Ruogu Wang, Alex A. Lemus, Colin M. Henneberry, Yiming Ying, Yunlong Feng, Alex M. Valm:
Unmixing biological fluorescence image data with sparse and low-rank Poisson regression. Bioinform. 39(4) (2023) - Negar Hossein-Nezhad Daneshvar, Yosef Masoudi-Sobhanzadeh, Yadollah Omidi:
A voting-based machine learning approach for classifying biological and clinical datasets. BMC Bioinform. 24(1): 140 (2023) - Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Dónal Landers, André Freitas:
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data. BMC Bioinform. 24(1): 198 (2023) - Abdur Rasool, Jingwei Hong, Qingshan Jiang, Hui Chen, Qiang Qu:
BO-DNA: Biologically optimized encoding model for a highly-reliable DNA data storage. Comput. Biol. Medicine 165: 107404 (2023) - Xinzhou Ge:
Enhancing Rigor in Computational Methods for Biological Data Analysis. XRDS 30(2): 34-37 (2023) - Yi Zhong, Prabhakar Chalise, Jianghua He:
Nested cross-validation with ensemble feature selection and classification model for high-dimensional biological data. Commun. Stat. Simul. Comput. 52(1): 110-125 (2023) - Wanxin Li, Jules Mirone, Ashok Prasad, Nina Miolane, Carine Legrand, Khanh Dao Duc:
Orthogonal outlier detection and dimension estimation for improved MDS embedding of biological datasets. Frontiers Bioinform. 3 (2023)
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