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ORCIDH. Robert Frost
Person information
- affiliation: Dartmouth College, Hanover, NH, USA
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2020 – today
- 2024
[j25]H. Robert Frost:
A generalized eigenvector centrality for multilayer networks with inter-layer constraints on adjacent node importance. Appl. Netw. Sci. 9(1): 14 (2024)- [j24]Courtney Schiebout, H. Robert Frost:
CAraCAl: CAMML with the integration of chromatin accessibility. BMC Bioinform. 25(1): 212 (2024) - [j23]H. Robert Frost
:
Tissue-adjusted pathway analysis of cancer (TPAC): A novel approach for quantifying tumor-specific gene set dysregulation relative to normal tissue. PLoS Comput. Biol. 20(1) (2024) - [j22]H. Robert Frost:
Reconstruction Set Test (RESET): A computationally efficient method for single sample gene set testing based on randomized reduced rank reconstruction error. PLoS Comput. Biol. 20(4): 1012084 (2024) - [i3]H. Robert Frost:
Network analysis using Krylov subspace trajectories. CoRR abs/2403.01269 (2024) - 2023
- [j21]Azka Javaid, Hildreth Robert Frost:
STREAK: A supervised cell surface receptor abundance estimation strategy for single cell RNA-sequencing data using feature selection and thresholded gene set scoring. PLoS Comput. Biol. 19(8) (2023) - [c1]Hildreth Robert Frost:
Eigenvector Centrality for Multilayer Networks with Dependent Node Importance. COMPLEX NETWORKS (3) 2023: 3-14 - 2022
- [j20]Courtney Schiebout, H. Robert Frost:
CAMML with the Integration of Marker Proteins (ChIMP). Bioinform. 38(23): 5206-5213 (2022) - [j19]H. Robert Frost:
Eigenvectors from Eigenvalues Sparse Principal Component Analysis. J. Comput. Graph. Stat. 31(1): 486-501 (2022) - [j18]Quang P. Nguyen, Anne G. Hoen, H. Robert Frost:
CBEA: Competitive balances for taxonomic enrichment analysis. PLoS Comput. Biol. 18(5) (2022) - [i2]H. Robert Frost:
Eigenvector centrality for multilayer networks with dependent node importance. CoRR abs/2205.01478 (2022) - [i1]H. Robert Frost:
Iterative execution of discrete and inverse discrete Fourier transforms with applications for signal denoising via sparsification. CoRR abs/2211.09284 (2022) - 2021
- [j17]H. Robert Frost:
Analyzing cancer gene expression data through the lens of normal tissue-specificity. PLoS Comput. Biol. 17(6) (2021) - 2020
- [j16]Xingyu Zheng, Christopher I. Amos, H. Robert Frost:
Comparison of pathway and gene-level models for cancer prognosis prediction. BMC Bioinform. 21(1): 76 (2020) - [j15]Xingyu Zheng, Christopher I. Amos, H. Robert Frost:
Cancer prognosis prediction using somatic point mutation and copy number variation data: a comparison of gene-level and pathway-based models. BMC Bioinform. 21(1): 467 (2020)
2010 – 2019
- 2018
- [j14]H. Robert Frost:
Computation and application of tissue-specific gene set weights. Bioinform. 34(17): 2957-2964 (2018) - [j13]Ivan P. Gorlov, Claudio W. Pikielny, Hildreth R. Frost, Stephanie C. Her, Michael D. Cole, Samuel D. Strohbehn, David Wallace-Bradley, Marek Kimmel, Olga Y. Gorlova, Christopher I. Amos:
Gene characteristics predicting missense, nonsense and frameshift mutations in tumor samples. BMC Bioinform. 19(1): 430:1-430:14 (2018) - [j12]H. Robert Frost, Christopher I. Amos:
A multi-omics approach for identifying important pathways and genes in human cancer. BMC Bioinform. 19(1): 479:1-479:14 (2018) - 2016
- [j11]H. Robert Frost, Christopher I. Amos:
Unsupervised gene set testing based on random matrix theory. BMC Bioinform. 17: 442:1-442:16 (2016) - 2015
- [j10]H. Robert Frost, Zhigang Li, Jason H. Moore:
Principal component gene set enrichment (PCGSE). BioData Min. 8: 25 (2015) - [j9]H. Robert Frost, Zhigang Li, Jason H. Moore:
Spectral gene set enrichment (SGSE). BMC Bioinform. 16: 70:1-70:11 (2015) - [j8]M. Tanveer Talukdar, H. Robert Frost, Solomon Gilbert Diamond:
Modeling Neurovascular Coupling from Clustered Parameter Sets for Multimodal EEG-NIRS. Comput. Math. Methods Medicine 2015: 830849:1-830849:13 (2015) - [j7]H. Robert Frost, Zhigang Li, Folkert W. Asselbergs, Jason H. Moore:
An Independent Filter for Gene Set Testing Based on Spectral Enrichment. IEEE ACM Trans. Comput. Biol. Bioinform. 12(5): 1076-1086 (2015) - 2014
- [j6]H. Robert Frost, Jason H. Moore:
Optimization of gene set annotations via entropy minimization over variable clusters (EMVC). Bioinform. 30(12): 1698-1706 (2014) - [j5]Alexa T. McCray, Philip Trevvett, H. Robert Frost:
Modeling the Autism Spectrum Disorder Phenotype. Neuroinformatics 12(2): 291-305 (2014) - 2012
- [j4]Nora Kim, Peter C. Andrews, Folkert W. Asselbergs, H. Robert Frost, Scott M. Williams, Brent T. Harris, Cynthia Read, Kathleen D. Askland, Jason H. Moore:
Gene ontology analysis of pairwise genetic associations in two genome-wide studies of sporadic ALS. BioData Min. 5: 9 (2012) - [j3]H. Robert Frost, Alexa T. McCray:
Markov Chain Ontology Analysis (MCOA). BMC Bioinform. 13: 23 (2012)
2000 – 2009
- 2009
- [j2]Kei-Hoi Cheung, H. Robert Frost, M. Scott Marshall, Eric Prud'hommeaux, Matthias Samwald, Jun Zhao, Adrian Paschke:
A journey to Semantic Web query federation in the life sciences. BMC Bioinform. 10(S-10): 10 (2009) - 2005
- [j1]Brian Hazlehurst, H. Robert Frost, Dean F. Sittig, Victor J. Stevens:
Application of Information Technology: MediClass: A System for Detecting and Classifying Encounter-based Clinical Events in Any Electronic Medical Record. J. Am. Medical Informatics Assoc. 12(5): 517-529 (2005)
Coauthor Index
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