
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Essential gene prediction in Drosophila melanogaster using machine learning approaches based on sequence and functional features
Olufemi Aromolaran, Thomas Beder, Marcus Oswald, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 612-621
Open Access | Times Cited: 39
Olufemi Aromolaran, Thomas Beder, Marcus Oswald, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 612-621
Open Access | Times Cited: 39
Showing 1-25 of 39 citing articles:
Machine learning approach to gene essentiality prediction: a review
Olufemi Aromolaran, Damilare Aromolaran, Itunuoluwa Isewon, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Open Access | Times Cited: 77
Olufemi Aromolaran, Damilare Aromolaran, Itunuoluwa Isewon, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Open Access | Times Cited: 77
A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification
Nguyen Quoc Khanh Le, Duyen Thi, Truong Nguyen Khanh Hung, et al.
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 23, pp. 9070-9070
Open Access | Times Cited: 63
Nguyen Quoc Khanh Le, Duyen Thi, Truong Nguyen Khanh Hung, et al.
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 23, pp. 9070-9070
Open Access | Times Cited: 63
Genome streamlining in a minute herbivore that manipulates its host plant
Robert Greenhalgh, Wannes Dermauw, Joris J. Glas, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 45
Robert Greenhalgh, Wannes Dermauw, Joris J. Glas, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 45
‘Bingo’—a large language model- and graph neural network-based workflow for the prediction of essential genes from protein data
Jiani Ma, Jiangning Song, Neil D. Young, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 11
Jiani Ma, Jiangning Song, Neil D. Young, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 11
Systems biology of Haemonchus contortus – Advancing biotechnology for parasitic nematode control
Yuanting Zheng, Neil D. Young, Tao Wang, et al.
Biotechnology Advances (2025), pp. 108567-108567
Closed Access
Yuanting Zheng, Neil D. Young, Tao Wang, et al.
Biotechnology Advances (2025), pp. 108567-108567
Closed Access
A hybrid machine learning model with attention mechanism and multidimensional multivariate feature coding for essential gene prediction
Wu Yan, Fujun Yu, Li Tan, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
Wu Yan, Fujun Yu, Li Tan, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
Artificial intelligence and machine learning applications for cultured meat
Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 3
Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 3
An Optimal Stacked ResNet-BiLSTM-Based Accurate Detection and Classification of Genetic Disorders
K. P. Nandhini, G. Tamilpavai
Neural Processing Letters (2023) Vol. 55, Iss. 7, pp. 9117-9138
Open Access | Times Cited: 8
K. P. Nandhini, G. Tamilpavai
Neural Processing Letters (2023) Vol. 55, Iss. 7, pp. 9117-9138
Open Access | Times Cited: 8
Harnessing model organism genomics to underpin the machine learning-based prediction of essential genes in eukaryotes – Biotechnological implications
Túlio de Lima Campos, Pasi K. Korhonen, Andreas Hofmann, et al.
Biotechnology Advances (2021) Vol. 54, pp. 107822-107822
Open Access | Times Cited: 18
Túlio de Lima Campos, Pasi K. Korhonen, Andreas Hofmann, et al.
Biotechnology Advances (2021) Vol. 54, pp. 107822-107822
Open Access | Times Cited: 18
Identifying essential genes across eukaryotes by machine learning
Thomas Beder, Olufemi Aromolaran, Jürgen Dönitz, et al.
NAR Genomics and Bioinformatics (2021) Vol. 3, Iss. 4
Open Access | Times Cited: 18
Thomas Beder, Olufemi Aromolaran, Jürgen Dönitz, et al.
NAR Genomics and Bioinformatics (2021) Vol. 3, Iss. 4
Open Access | Times Cited: 18
Essential genes identification model based on sequence feature map and graph convolutional neural network
Wenxing Hu, Mengshan Li, Haiyang Xiao, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Wenxing Hu, Mengshan Li, Haiyang Xiao, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Inference of Essential Genes of the Parasite Haemonchus contortus via Machine Learning
Túlio de Lima Campos, Pasi K. Korhonen, Neil D. Young, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 13, pp. 7015-7015
Open Access | Times Cited: 2
Túlio de Lima Campos, Pasi K. Korhonen, Neil D. Young, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 13, pp. 7015-7015
Open Access | Times Cited: 2
Combined use of feature engineering and machine-learning to predict essential genes in Drosophila melanogaster
Túlio de Lima Campos, Pasi K. Korhonen, Andreas Hofmann, et al.
NAR Genomics and Bioinformatics (2020) Vol. 2, Iss. 3
Open Access | Times Cited: 15
Túlio de Lima Campos, Pasi K. Korhonen, Andreas Hofmann, et al.
NAR Genomics and Bioinformatics (2020) Vol. 2, Iss. 3
Open Access | Times Cited: 15
Cross-species prediction of essential genes in insects
Giovanni Marques de Castro, Zandora Hastenreiter, Thiago Augusto Silva Monteiro, et al.
Bioinformatics (2022) Vol. 38, Iss. 6, pp. 1504-1513
Open Access | Times Cited: 8
Giovanni Marques de Castro, Zandora Hastenreiter, Thiago Augusto Silva Monteiro, et al.
Bioinformatics (2022) Vol. 38, Iss. 6, pp. 1504-1513
Open Access | Times Cited: 8
Cross-Predicting Essential Genes between Two Model Eukaryotic Species Using Machine Learning
Túlio de Lima Campos, Pasi K. Korhonen, Neil D. Young
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 10, pp. 5056-5056
Open Access | Times Cited: 11
Túlio de Lima Campos, Pasi K. Korhonen, Neil D. Young
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 10, pp. 5056-5056
Open Access | Times Cited: 11
Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogaster
Olufemi Aromolaran, Itunuoluwa Isewon, Eunice O. Adedeji, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0288023-e0288023
Open Access | Times Cited: 4
Olufemi Aromolaran, Itunuoluwa Isewon, Eunice O. Adedeji, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0288023-e0288023
Open Access | Times Cited: 4
Maize Feature Store: A centralized resource to manage and analyze curated maize multi-omics features for machine learning applications
Shatabdi Sen, Margaret Woodhouse, John L. Portwood, et al.
Database (2023) Vol. 2023
Open Access | Times Cited: 4
Shatabdi Sen, Margaret Woodhouse, John L. Portwood, et al.
Database (2023) Vol. 2023
Open Access | Times Cited: 4
Integrating massive RNA-seq data to elucidate transcriptome dynamics in Drosophila melanogaster
Sheng Hu Qian, Mengwei Shi, Dan‐Yang Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 3
Sheng Hu Qian, Mengwei Shi, Dan‐Yang Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 3
Untangling the Context-Specificity of Essential Genes by Means of Machine Learning: A Constructive Experience
Maurizio Giordano, Emanuele Falbo, Lucia Maddalena, et al.
Biomolecules (2023) Vol. 14, Iss. 1, pp. 18-18
Open Access | Times Cited: 3
Maurizio Giordano, Emanuele Falbo, Lucia Maddalena, et al.
Biomolecules (2023) Vol. 14, Iss. 1, pp. 18-18
Open Access | Times Cited: 3
Novel Data Science Methodologies for Essential Genes Identification Based on Network Analysis
Mario Manzo, Maurizio Giordano, Lucia Maddalena, et al.
Studies in computational intelligence (2023), pp. 117-145
Closed Access | Times Cited: 2
Mario Manzo, Maurizio Giordano, Lucia Maddalena, et al.
Studies in computational intelligence (2023), pp. 117-145
Closed Access | Times Cited: 2
Machine learning on large scale perturbation screens for SARS-CoV-2 host factors identifies β-catenin/CBP inhibitor PRI-724 as a potent antiviral
Maximilian A. Kelch, Antonella Vera-Guapi, Thomas Beder, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 2
Maximilian A. Kelch, Antonella Vera-Guapi, Thomas Beder, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 2
Network-Based Computational Modeling to Unravel Gene Essentiality
Ilaria Granata, Maurizio Giordano, Lucia Maddalena, et al.
(2023), pp. 29-56
Closed Access | Times Cited: 2
Ilaria Granata, Maurizio Giordano, Lucia Maddalena, et al.
(2023), pp. 29-56
Closed Access | Times Cited: 2
Predicting host dependency factors of pathogens in Drosophila melanogaster using machine learning
Olufemi Aromolaran, Thomas Beder, Eunice O. Adedeji, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 4581-4592
Open Access | Times Cited: 5
Olufemi Aromolaran, Thomas Beder, Eunice O. Adedeji, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 4581-4592
Open Access | Times Cited: 5
Prediction of essential genes in G20 using machine learning model
Thierry Kongne Nembot, Ernest Basile Fotseu Fotseu, Rajesh K. Sani, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021), pp. 3578-3582
Closed Access | Times Cited: 4
Thierry Kongne Nembot, Ernest Basile Fotseu Fotseu, Rajesh K. Sani, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021), pp. 3578-3582
Closed Access | Times Cited: 4
Differentially used codons among essential genes in bacteria identified by machine learning-based analysis
Annushree Kurmi, Piyali Sen, Madhusmita Dash, et al.
Molecular Genetics and Genomics (2024) Vol. 299, Iss. 1
Closed Access
Annushree Kurmi, Piyali Sen, Madhusmita Dash, et al.
Molecular Genetics and Genomics (2024) Vol. 299, Iss. 1
Closed Access