H. Robert Frost

BMC Bioinform., December, 2024

A generalized eigenvector centrality for multilayer networks with inter-layer constraints on adjacent node importance.

[BibT_eX]

[DOI]

Appl. Netw. Sci., December, 2024

Tissue-adjusted pathway analysis of cancer (TPAC): A novel approach for quantifying tumor-specific gene set dysregulation relative to normal tissue.

[BibT_eX]

[DOI]

PLoS Comput. Biol., January, 2024

Network analysis using Krylov subspace trajectories.

[BibT_eX]

[DOI]

CoRR, 2024

2023

STREAK: A supervised cell surface receptor abundance estimation strategy for single cell RNA-sequencing data using feature selection and thresholded gene set scoring.

[BibT_eX]

[DOI]

Azka Javaid

Hildreth Robert Frost

PLoS Comput. Biol., 2023

Eigenvector Centrality for Multilayer Networks with Dependent Node Importance.

[BibT_eX]

[DOI]

Hildreth Robert Frost

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

CAMML with the Integration of Marker Proteins (ChIMP).

[BibT_eX]

[DOI]

Courtney Schiebout

Bioinform., November, 2022

Eigenvectors from Eigenvalues Sparse Principal Component Analysis.

[BibT_eX]

[DOI]

J. Comput. Graph. Stat., January, 2022

CBEA: Competitive balances for taxonomic enrichment analysis.

[BibT_eX]

[DOI]

Quang P. Nguyen

Anne G. Hoen

PLoS Comput. Biol., 2022

Iterative execution of discrete and inverse discrete Fourier transforms with applications for signal denoising via sparsification.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Analyzing cancer gene expression data through the lens of normal tissue-specificity.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

2020

Cancer prognosis prediction using somatic point mutation and copy number variation data: a comparison of gene-level and pathway-based models.

[BibT_eX]

[DOI]

Xingyu Zheng

BMC Bioinform., 2020

Comparison of pathway and gene-level models for cancer prognosis prediction.

[BibT_eX]

[DOI]

Xingyu Zheng

BMC Bioinform., 2020

2018

Gene characteristics predicting missense, nonsense and frameshift mutations in tumor samples.

[BibT_eX]

[DOI]

David Wallace-Bradley

Marek Kimmel

Olga Y. Gorlova

BMC Bioinform., 2018

A multi-omics approach for identifying important pathways and genes in human cancer.

[BibT_eX]

[DOI]

BMC Bioinform., 2018

Computation and application of tissue-specific gene set weights.

[BibT_eX]

[DOI]

Bioinform., 2018

2016

Unsupervised gene set testing based on random matrix theory.

[BibT_eX]

[DOI]

BMC Bioinform., 2016

2015

An Independent Filter for Gene Set Testing Based on Spectral Enrichment.

[BibT_eX]

[DOI]

Zhigang Li

Folkert W. Asselbergs

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Modeling Neurovascular Coupling from Clustered Parameter Sets for Multimodal EEG-NIRS.

[BibT_eX]

[DOI]

M. Tanveer Talukdar

Solomon Gilbert Diamond

Comput. Math. Methods Medicine, 2015

Spectral gene set enrichment (SGSE).

[BibT_eX]

[DOI]

Zhigang Li

BMC Bioinform., 2015

Principal component gene set enrichment (PCGSE).

[BibT_eX]

[DOI]

Zhigang Li

BioData Min., 2015

2014

Modeling the Autism Spectrum Disorder Phenotype.

[BibT_eX]

[DOI]

Alexa T. McCray

Philip Trevvett

Neuroinformatics, 2014

Optimization of gene set annotations via entropy minimization over variable clusters (EMVC).

[BibT_eX]

[DOI]

Bioinform., 2014

2012

Markov Chain Ontology Analysis (MCOA).

[BibT_eX]

[DOI]