Open Access Helper

OpenAlex Citation Counts

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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:

Biologically informed deep learning to infer gene program activity in single cells
Mohammad Lotfollahi, Sergei Rybakov, Karin Hrovatin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 10

Showing 10 citing articles:

An empirical Bayes method for differential expression analysis of single cells with deep generative models
Pierre Boyeau, Jeffrey Regier, Adam Gayoso, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 21
Open Access | Times Cited: 34
Deep learning models will shape the future of stem cell research
John F. Ouyang, Sonia Chothani, Owen J. L. Rackham
Stem Cell Reports (2023) Vol. 18, Iss. 1, pp. 6-12
Open Access | Times Cited: 7
SigPrimedNet: A Signaling-Informed Neural Network for scRNA-seq Annotation of Known and Unknown Cell Types
Pelin Gundogdu, Inmaculada Álamo-Álvarez, Isabel A. Nepomuceno-Chamorro, et al.
Biology (2023) Vol. 12, Iss. 4, pp. 579-579
Open Access | Times Cited: 5
An Empirical Bayes Method for Differential Expression Analysis of Single Cells with Deep Generative Models
Pierre Boyeau, Jeffrey Regier, Adam Gayoso, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 8
Supervised Deep Learning with Gene Annotation for Cell Classification
Zhexiao Lin, Wei Sun
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 1
Designing interpretable deep learning applications for functional genomics: a quantitative analysis
Arno van Hilten, Sonja Katz, Edoardo Saccenti, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 1
Identification of cell types, states and programs by learning gene set representations
Soroor Hediyeh-zadeh, Holly J. Whitfield, Malvika Kharbanda, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
CanSig: discovery of shared transcriptional states across cancer patients from single-cell RNA sequencing data
Josephine Yates, Florian Barkmann, Pawel Piotr Czyz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Principled feature attribution for unsupervised gene expression analysis
Joseph D. Janizek, Anna Spiro, Safiye Çelik, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Biologically informed variational autoencoders allow predictive modeling of genetic and drug induced perturbations
Daria Doncevic, Carl Herrmann
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
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