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  • LATEST MANUSCRIPTS IN Frontiers in Bioinformatics
  • Piotr Gawron, David Hoksza, Janet Piñero, Maria Peña-Chilet, Marina Esteban-Medina, Jose Luis Fernandez-Rueda, Vincenza Colonna, Ewa Smula, Laurent Heirendt, François Ancien, Valentin Groues, Venkata P Satagopam, Reinhard Schneider, Joaquin Dopazo, Laura I Furlong, Marek Ostaszewski. Visualization of automatically combined disease maps and pathway diagrams for rare diseases. Frontiers in bioinformatics. 2023, 3: 1101505
    Cited : 1
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  • Ana Julia Velez Rueda, Luis Alberto Gonano, Agustín García Smith, Gustavo Parisi, María Silvina Fornasari, Leandro Matías Sommese. CardIAP: calcium transients confocal image analysis tool. Frontiers in bioinformatics. 2023, 3: 1137815
    Cited : 1
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  • Mohammed Zidane, Ahmad Makky, Matthias Bruhns, Alexander Rochwarger, Sepideh Babaei, Manfred Claassen, Christian M Schürch. A review on deep learning applications in highly multiplexed tissue imaging data analysis. Frontiers in bioinformatics. 2023, 3: 1159381
    Cited : 4
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  • Zihao Wang, Yun Zhou, Yu Zhang, Yu K Mo, Yijie Wang. XMR: an explainable multimodal neural network for drug response prediction. Frontiers in bioinformatics. 2023, 3: 1164482
    Cited : 2
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  • David Bryant, Daniel H Huson. NeighborNet: improved algorithms and implementation. Frontiers in bioinformatics. 2023, 3: 1178600
    Cited : 5
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  • Saurav Mallik, Soumita Seth, Amalendu Si, Tapas Bhadra, Zhongming Zhao. Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data. Frontiers in bioinformatics. 2023, 3: 1182176
    Cited : 0
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  • Aziz Fouché, Andrei Zinovyev. Omics data integration in computational biology viewed through the prism of machine learning paradigms. Frontiers in bioinformatics. 2023, 3: 1191961
    Cited : 3
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  • Adriano Lucieri, Andreas Dengel, Sheraz Ahmed. Translating theory into practice: assessing the privacy implications of concept-based explanations for biomedical AI. Frontiers in bioinformatics. 2023, 3: 1194993
    Cited : 3
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  • Alexander Mazein, Marcio Luis Acencio, Irina Balaur, Adrien Rougny, Danielle Welter, Anna Niarakis, Diana Ramirez Ardila, Ugur Dogrusoz, Piotr Gawron, Venkata Satagopam, Wei Gu, Andreas Kremer, Reinhard Schneider, Marek Ostaszewski. A guide for developing comprehensive systems biology maps of disease mechanisms: planning, construction and maintenance. Frontiers in bioinformatics. 2023, 3: 1197310
    Cited : 3
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  • Soumyadip Roy, Asa Ben-Hur. Protein quality assessment with a loss function designed for high-quality decoys. Frontiers in bioinformatics. 2023, 3: 1198218
    Cited : 1
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  • Nasser Hashemi, Boran Hao, Mikhail Ignatov, Ioannis Ch Paschalidis, Pirooz Vakili, Sandor Vajda, Dima Kozakov. Improved prediction of MHC-peptide binding using protein language models. Frontiers in bioinformatics. 2023, 3: 1207380
    Cited : 6
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  • Linghao Hu, Blanche Ter Hofstede, Dhavan Sharma, Feng Zhao, Alex J Walsh. Comparison of phasor analysis and biexponential decay curve fitting of autofluorescence lifetime imaging data for machine learning prediction of cellular phenotypes. Frontiers in bioinformatics. 2023, 3: 1210157
    Cited : 3
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  • 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 in bioinformatics. 2023, 3: 1211819
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  • Famke Bäuerle, Gwendolyn O Döbel, Laura Camus, Simon Heilbronner, Andreas Dräger. Genome-scale metabolic models consistently predict characteristics of . Frontiers in bioinformatics. 2023, 3: 1214074
    Cited : 1
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  • Helena Klara Jambor. Insights on poster preparation practices in life sciences. Frontiers in bioinformatics. 2023, 3: 1216139
    Cited : 1
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