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ORCIDJournal of Integrative Bioinformatics, Volume 22
Volume 22, Number 1, 2025
- Danuta Schüler
, Matthias Lange, Thomas Altmann, Maria Cuacos, Daniel Arend, John Charles D'Auria, Anne Fiebig, Jochen Kumlehn, Kerstin Neumann, Michael Melzer, Elena Rey-Mazón, Hardy Rolletschek, Uwe Scholz, Evelin Willner, Jochen Christoph Reif:
Data management in balance - a decade of balancing pragmatism, sustainability and innovation at plant research center IPK Gatersleben. - Vladislav V. Shilenok, Irina V. Shilenok, Vladislav O. Soldatov, Yuriy L. Orlov, Ksenia A. Kobzeva, Alexey V. Deykin, Olga Yu. Bushueva:
Bioinformatic analysis of the regulatory potential of tagging SNPs provides evidence of the involvement of genes encoding the heat-resistant obscure (Hero) proteins in the pathogenesis of cardiovascular diseases. - Falk Schreiber, Tobias Czauderna, Dimitar Garkov, Niklas Gröne, Karsten Klein, Matthias Lange, Uwe Scholz, Björn Sommer:
Sustainable software development in science - insights from 20 years of Vanted. - Aruana F. F. Hansel-Fröse, Christoph Brinkrolf, Marcel Friedrichs, Bruno Dallagiovanna, Lucía Spangenberg:
Petri net modeling and simulation of post-transcriptional regulatory networks of human embryonic stem cell (hESC) differentiation to cardiomyocytes. - Frontmatter. i-ii
- Ralf Hofestädt:
Editorial - 20 years Journal of Integrative Bioinformatics. - Zahra Mosalanejad, Seyed Nooreddin Faraji, Mohammad Reza Rahbar, Ahmad Gholami:
Designing an optimized theta-defensin peptide for HIV therapy using in-silico approaches.
Volume 22, Number 2, 2025
- Jose María Belmonte, Miguel Blanquer, Gregorio Bernabé, Fernando Jiménez, José Manuel García:
Survival risk prediction in hematopoietic stem cell transplantation for multiple myeloma. - Pablo Enrique Guillem, Marco Zurdo-Tabernero, Noelia Egido Iglesias, Ángel Canal-Alonso, Liliana Durón Figueroa, Guillermo Hernández, Angélica González Arrieta, Fernando De la Prieta:
Leveraging transformers for semi-supervised pathogenicity prediction with soft labels. - João Capela, João Cheixo, Dick de Ridder, Oscar Dias, Miguel Rocha:
Predicting precursors of plant specialized metabolites using DeepMol automated machine learning. - Daniel Pérez-Rodríguez, Roberto C. Agís-Balboa, Hugo López-Fernández:
Fcodes update: a kinship encoding framework with F-Tree GUI & LLM inference. - Alba Nogueira-Rodríguez, Daniel Glez-Peña, Cristina P. Vieira, Jorge Vieira, Hugo López-Fernández:
Towards a more accurate and reliable evaluation of machine learning protein-protein interaction prediction model performance in the presence of unavoidable dataset biases. - Guilherme Henriques, Maryam Abbasi, Daniel Martins, Joel P. Arrais:
Integrating AI and genomics: predictive CNN models for schizophrenia phenotypes. - Frontmatter. i-ii
- Salvador de Haro, Gregorio Bernabé, José Manuel García, Pilar González-Férez:
A ViTUNeT-based model using YOLOv8 for efficient LVNC diagnosis and automatic cleaning of dataset. - Jesús García-Salmerón, José Manuel García, Gregorio Bernabé, Pilar González-Férez:
Automated mitosis detection in stained histopathological images using Faster R-CNN and stain techniques. - Rawan Gedeon, Atulya Nagar:
Colon cancer survival prediction from gland shapes within histology slides using deep learning. - Anushka Chaurasia, Deepak Kumar, Yogita:
Predicting DDI-induced pregnancy and neonatal ADRs using sparse PCA and stacking ensemble approach.
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