Elana J. Fertig
Orcid: 0000-0003-3204-342X
According to our database1,
Elana J. Fertig
authored at least 20 papers
between 2010 and 2023.
Collaborative distances:
Collaborative distances:
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Online presence:
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on twitter.com
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Bibliography
2023
Patterns, August, 2023
2022
Regression Expression Variation Analysis (REVA): a rank-based multi-dimensional measure of correlation.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
2020
CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data structures.
BMC Bioinform., 2020
projectR: an R/Bioconductor package for transfer learning via PCA, NMF, correlation and clustering.
Bioinform., 2020
2019
CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer.
PLoS Comput. Biol., 2019
2018
Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer.
Bioinform., 2018
2017
PatternMarkers & GWCoGAPS for novel data-driven biomarkers via whole transcriptome NMF.
Bioinform., 2017
StereoGene: rapid estimation of genome-wide correlation of continuous or interval feature data.
Bioinform., 2017
2015
Bioinform., 2015
The estimation of dimensionality in gene expression data using Nonnegative Matrix Factorization.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Preserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction.
Bioinform., 2014
2012
Proceedings of the Research in Computational Molecular Biology, 2012
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012
Identifying context-specific transcription factor targets from prior knowledge and gene expression data.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
2011
Proceedings of the Handbook of Statistical Bioinformatics., 2011
2010
CoGAPS: an R/C++ package to identify patterns and biological process activity in transcriptomic data.
Bioinform., 2010