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ORCIDJournal of Integrative Bioinformatics, Volume 19
Volume 19, Number 1, March 2022
- Arthur I. Dergilev, Nina Orlova, Oxana B. Dobrovolskaya
, Yuriy L. Orlov:
Statistical estimates of multiple transcription factors binding in the model plant genomes based on ChIP-seq data. - Reyes-González Juan Pablo, Díaz-Peregrino Roberto, Soto-Ulloa Victor, Galvan-Remigio Isabel, Castillo Paul, Ogando-Rivas Elizabeth:
Big data in the healthcare system: a synergy with artificial intelligence and blockchain technology. - Saidi Wang, Haiyan Hu, Xiaoman Li:
A systematic study of motif pairs that may facilitate enhancer-promoter interactions. - Kristóf Takács, Vince Grolmusz:
On the border of the amyloidogenic sequences: prefix analysis of the parallel beta sheets in the PDB_Amyloid collection. - Frontmatter. i-ii
- Ali Afgar, Mahla Sattarzadeh Bardsiri, Reza Vahidi, Alireza Farsinejad:
Predicting the possible effect of miR-203a-3p and miR-29a-3p on DNMT3B and GAS7 genes expression. - Franziska Reinhardt, Peter F. Stadler:
ExceS-A: an exon-centric split aligner. - Balázs Szalkai, Vince Grolmusz:
SCARF: a biomedical association rule finding webserver.
Volume 19, Number 2, August 2022
- Falk Schreiber, Tobias Czauderna:
Design considerations for representing systems biology information with the Systems Biology Graphical Notation. - David S. Goodsell:
Integrative illustration of a JCVI-syn3A minimal cell. - Frontmatter. i-ii
- Monica Zoppè:
Colors in the representation of biological structures. - Björn Sommer, Daisuke Inoue, Marc Baaden:
Design X Bioinformatics: a community-driven initiative to connect bioinformatics and design. - Laura A. Garrison, Stefan Bruckner:
Considering best practices in color palettes for molecular visualizations. - Davide Spalvieri, Anne-Marine Mauviel, Matthieu Lambert, Nicolas Férey, Sophie Sacquin-Mora, Matthieu Chavent, Marc Baaden:
Design - a new way to look at old molecules.
Volume 19, Number 3, September 2022
- Mohd Izzat Yong, Mohd Saberi Mohamad, Yee Wen Choon, Weng Howe Chan, Hasyiya Karimah Adli, Khairul Nizar Syazwan Wan Salihin Wong, Nooraini Yusoff, Muhammad Akmal bin Remli:
A hybrid of Bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production. - Delora Baptista, João Correia, Bruno Pereira, Miguel Rocha:
Evaluating molecular representations in machine learning models for drug response prediction and interpretability. - Alexandre Oliveira, Emanuel Cunha, Fernando Cruz, João Capela, João Carlos Sequeira, Marta Sampaio, Cláudia Sampaio, Oscar Días:
Systematic assessment of template-based genome-scale metabolic models created with the BiGG Integration Tool. - Pierpaolo Vittorini, Pablo Chamoso, Fernando de la Prieta:
A device and an app for the diagnosis and self-management of tinnitus. - Madhumita Madhumita, Sushmita Paul:
A review on methods for predicting miRNA-mRNA regulatory modules. - Simon Orozco-Arias, Mariana S. Candamil-Cortes, Paula A. Jaimes, Estiven Valencia-Castrillon, Reinel Tabares-Soto, Gustavo A. Isaza, Romain Guyot:
Automatic curation of LTR retrotransposon libraries from plant genomes through machine learning. - Pranab Das, Yogita, Vipin Pal:
Integrative analysis of chemical properties and functions of drugs for adverse drug reaction prediction based on multi-label deep neural network. - Frontmatter. i-ii
- Yashbir Singh, Naidu Subbarao, Abhinav Jaimini, Quincy A. Hathaway, Amina Kunovac, Bradley James Erickson, Vishnu Swarup, Himanshu Narayan Singh:
Genome-wide expression reveals potential biomarkers in breast cancer bone metastasis.
Volume 19, Number 4, December 2022
- Manuel Feser, Patrick König, Anne Fiebig, Daniel Arend, Matthias Lange, Uwe Scholz:
On the way to plant data commons - a genotyping use case. - Frontmatter. i-ii
- Christian Panse, Christian Trachsel, Can Türker:
Bridging data management platforms and visualization tools to enable ad-hoc and smart analytics in life sciences. - Marcel P. Schilling, Svenja Schmelzer, Lukas Klinger, Markus Reischl:
KaIDA: a modular tool for assisting image annotation in deep learning. - Justus Wolff, Julian O. Matschinske, Dietrich Baumgart, Anne Pytlik, Andreas Keck, Arunakiry Natarajan, Claudio E. von Schacky, Josch Pauling, Jan Baumbach:
Federated machine learning for a facilitated implementation of Artificial Intelligence in healthcare - a proof of concept study for the prediction of coronary artery calcification scores. - Michael Aichem, Karsten Klein, Tobias Czauderna, Dimitar Garkov, Jinxin Zhao, Jian Li, Falk Schreiber:
Towards a hybrid user interface for the visual exploration of large biomolecular networks using virtual reality. - Irina Balaur, Ludovic Roy, Vasundra Touré, Alexander Mazein, Charles Auffray:
GraphML-SBGN bidirectional converter for metabolic networks. - Yassir Boulaamane, Mahmoud A. A. Ibrahim, Mohammed-Reda Britel, Amal A. M. Maurady:
In silico studies of natural product-like caffeine derivatives as potential MAO-B inhibitors/AA2AR antagonists for the treatment of Parkinson's disease.
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