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:
Phenotype prediction from single-cell RNA-seq data using attention-based neural networks
Yuzhen Mao, Yen‐Yi Lin, Nelson K.Y. Wong, et al.
Bioinformatics (2024) Vol. 40, Iss. 2
Open Access | Times Cited: 7
Yuzhen Mao, Yen‐Yi Lin, Nelson K.Y. Wong, et al.
Bioinformatics (2024) Vol. 40, Iss. 2
Open Access | Times Cited: 7
Showing 7 citing articles:
Database-Augmented Transformer-Based Large Language Models Achieve High Accuracy in Mapping Gene-Phenotype Relationships
Nicolas Matthew Suhardi, Anastasia Oktarina, Mathias P. Bostrom, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Nicolas Matthew Suhardi, Anastasia Oktarina, Mathias P. Bostrom, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases
Anastasia Litinetskaya, Maiia Shulman, Soroor Hediyeh-zadeh, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Anastasia Litinetskaya, Maiia Shulman, Soroor Hediyeh-zadeh, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Bioinformatics and molecular biology tools for diagnosis, prevention, treatment and prognosis of COVID-19
Débora Dummer Meira, Aléxia Stefani Siqueira Zetum, Matheus Correia Casotti, et al.
Heliyon (2024) Vol. 10, Iss. 14, pp. e34393-e34393
Open Access
Débora Dummer Meira, Aléxia Stefani Siqueira Zetum, Matheus Correia Casotti, et al.
Heliyon (2024) Vol. 10, Iss. 14, pp. e34393-e34393
Open Access
Exploring phenotype-related single-cells through attention-enhanced representation learning
Qinhua Wu, Junxiang Ding, Ruikun He, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Qinhua Wu, Junxiang Ding, Ruikun He, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Uncovering Predictive Gene and Cellular Signatures for Checkpoint Immunotherapy Response through Machine Learning Analysis of Immune Single-Cell RNA-seq Data
Asaf Pinhasi, Keren Yizhak
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Asaf Pinhasi, Keren Yizhak
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease states
Tian-Yu Liu, Edward De Brouwer, Tony Kuo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Tian-Yu Liu, Edward De Brouwer, Tony Kuo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics
Jordi Martorell‐Marugán, Raúl López-Domínguez, Juan Antonio Villatoro-García, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
Jordi Martorell‐Marugán, Raúl López-Domínguez, Juan Antonio Villatoro-García, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
