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:

Using Supervised Learning Methods for Gene Selection in RNA-Seq Case-Control Studies
Stéphane Wenric, Ruhollah Shemirani
Frontiers in Genetics (2018) Vol. 9
Open Access | Times Cited: 45

Showing 26-50 of 45 citing articles:

Predicting RNA-seq data using genetic algorithm and ensemble classification algorithms
Micheal Olaolu Arowolo, Marion O. Adebiyi, Ayodele A. Adebiyi, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2021) Vol. 21, Iss. 2, pp. 1073-1073
Open Access | Times Cited: 9
An Adaptive Genetic Algorithm with Recursive Feature Elimination Approach for Predicting Malaria Vector Gene Expression Data Classification using Support Vector Machine Kernels
Micheal Olaolu Arowolo, Marion O. Adebiyi, Chiebuka T. Nnodim, et al.
Walailak Journal of Science and Technology (WJST) (2021) Vol. 18, Iss. 17
Open Access | Times Cited: 9
Identifying Cancer Biomarkers from High-Throughput RNA Sequencing Data by Machine Learning
Zishuang Zhang, Zhi-Ping Liu
Lecture notes in computer science (2019), pp. 517-528
Closed Access | Times Cited: 9
Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma
Nuojin Cheng, Ashley J. Schulte, Fadil Santosa, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 9
Bioinformatics analyses show dysregulation of calcium-related genes in Angelman syndrome mouse model
Julia Panov, Hanoch Kaphzan
Neurobiology of Disease (2020) Vol. 148, pp. 105180-105180
Open Access | Times Cited: 7
GeneSelectML: a comprehensive way of gene selection for RNA-Seq data via machine learning algorithms
Osman Dağ, Merve Kaşıkçı, Özlem İlk, et al.
Medical & Biological Engineering & Computing (2022) Vol. 61, Iss. 1, pp. 229-241
Closed Access | Times Cited: 5
Enhanced Dimensionality Reduction Methods for Classifying Malaria Vector Dataset using Decision Tree
Micheal Olaolu Arowolo, Marion O. Adebiyi, Ayodele A. Adebiyi
Sains Malaysiana (2021) Vol. 50, Iss. 9, pp. 2579-2589
Open Access | Times Cited: 5
Rewiring of gene expression in circulating white blood cells is associated with pregnancy outcome in heifers (Bos taurus)
Sarah E. Moorey, Bailey N. Walker, Michelle F. Elmore, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 2
Analysis of Ensemble Feature Selection for Correlated High-Dimensional RNA-Seq Cancer Data
Aneta Polewko-Klim, Witold R. Rudnicki
Lecture notes in computer science (2020), pp. 525-538
Open Access | Times Cited: 2
Fuzzy Set Similarity for Feature Selection in Classification
Valerie Cross, Michael A. Zmuda, Rahul Paul, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2020), pp. 1-8
Closed Access | Times Cited: 2
On the Unfounded Enthusiasm for Soft Selective Sweeps III: The Supervised Machine Learning Algorithm That Isn’t
Eran Elhaik, Dan Graur
Genes (2021) Vol. 12, Iss. 4, pp. 527-527
Open Access | Times Cited: 2
A machine-learning classifier trained with microRNA ratios to distinguish melanomas from nevi
Rodrigo Torres, Ursula E. Lang, Miroslav Hejna, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Closed Access | Times Cited: 1
Towards an Analysis of Post-Transcriptional Gene Regulation in Psoriasis via microRNAs using Machine Learning Algorithms
Jordi Carrere-Molina, Laia Subirats, Jordi Casas-Roma
(2019), pp. 600-603
Closed Access | Times Cited: 1
Systems-level investigation of mucopolysaccharidosis IIIA identifies deficient synaptic activity as a key driver of disease progression
Alon M. Douek, Adrian Salavaty, Florian Kreuder, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data
Xi Chen, Yuan Wang, Antonio Cappuccio, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
An ICA-ensemble learning approaches for prediction of RNA-seq malaria vector gene expression data classification
Micheal Olaolu Arowolo, Marion O. Adebiyi, Ayodele A. Adebiyi, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2021) Vol. 11, Iss. 2, pp. 1561-1561
Open Access | Times Cited: 1
Gene Selection Using Integrative Analysis of Multi‐Level Omics Data: A Systematic Review
Saswati Mahapatra, Tripti Swarnkar
(2021), pp. 145-171
Closed Access | Times Cited: 1
EPS: automated feature selection in case–control studies using extreme pseudo-sampling
Ruhollah Shemirani, Stéphane Wenric, Eimear E. Kenny, et al.
Bioinformatics (2021) Vol. 37, Iss. 19, pp. 3372-3373
Closed Access | Times Cited: 1
AITeQ: A machine learning framework for Alzheimer’s prediction using a distinctive 5-gene signature
Ishtiaque Ahammad, Anika Bushra Lamisa, Arittra Bhattacharjee, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data
Aneta Polewko-Klim, Witold R. Rudnicki
arXiv (Cornell University) (2020)
Closed Access
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