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:
Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear methods
Constantin Ahlmann-Eltze, Wolfgang Huber, Simon Anders
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 7
Constantin Ahlmann-Eltze, Wolfgang Huber, Simon Anders
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 7
Showing 7 citing articles:
Simple controls exceed best deep learning algorithms and reveal foundation model effectiveness for predicting genetic perturbations
Daniel R. Wong, Abby S. Hill, Rocco Moccia
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access | Times Cited: 1
Daniel R. Wong, Abby S. Hill, Rocco Moccia
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access | Times Cited: 1
Causal models and prediction in cell line perturbation experiments
James P. Long, Yumeng Yang, Shohei Shimizu, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
James P. Long, Yumeng Yang, Shohei Shimizu, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
AUC-PR is a More Informative Metric for Assessing the Biological Relevance of In Silico Cellular Perturbation Prediction Models
Hongxu Zhu, Amir Asiaee, Leila Azinfar, et al.
(2025)
Open Access
Hongxu Zhu, Amir Asiaee, Leila Azinfar, et al.
(2025)
Open Access
GenePert: Leveraging GenePT Embeddings for Gene Perturbation Prediction
Yiqun T. Chen, James Zou
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Yiqun T. Chen, James Zou
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
A systematic comparison of computational methods for expression forecasting
Eric Kernfeld, Yunxiao Yang, Joshua S. Weinstock, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Eric Kernfeld, Yunxiao Yang, Joshua S. Weinstock, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
A cross-species foundation model for single cells
Korbinian Traeuble, Matthias Heinig
Cell Research (2024)
Open Access
Korbinian Traeuble, Matthias Heinig
Cell Research (2024)
Open Access
Integrative Computational Framework, Dyscovr, Links Mutated Driver Genes to Expression Dysregulation Across 19 Cancer Types
Sara Geraghty, Jacob A. Boyer, Mahya Fazel-Zarandi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Sara Geraghty, Jacob A. Boyer, Mahya Fazel-Zarandi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Modeling and predicting single-cell multi-gene perturbation responses with scLAMBDA
Gefei Wang, Tian-Yu Liu, Jia Zhao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Gefei Wang, Tian-Yu Liu, Jia Zhao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
