H Robert Frost
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Explore the profile of H Robert Frost including associated specialties, affiliations and a list of published articles.
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Articles
42
Citations
407
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Recent Articles
1.
Gingerich I, Goods B, Frost H
Res Sq
. 2025 Mar;
PMID: 40034439
Spatial transcriptomics (ST) provides critical insights into the spatial organization of gene expression, enabling researchers to unravel the intricate relationship between cellular environments and biological function. Identifying spatial domains within...
2.
Gingerich I, Goods B, Goods B, Frost H, Frost H
bioRxiv
. 2025 Jan;
PMID: 39763720
Spatial transcriptomics (ST) provides critical insights into the complex spatial organization of gene expression in tissues, enabling researchers to unravel the intricate relationship between cellular environments and biological function. Identifying...
3.
Frost H
bioRxiv
. 2024 Oct;
PMID: 39386631
Although single cell RNA-sequencing (scRNA-seq) provides unprecedented insights into the biology of complex tissues, analyzing such data on a gene-by-gene basis is challenging due to the large number of tested...
4.
Schiebout C, Frost H
BMC Bioinformatics
. 2024 Jun;
25(1):212.
PMID: 38872103
Background: A vital step in analyzing single-cell data is ascertaining which cell types are present in a dataset, and at what abundance. In many diseases, the proportions of varying cell...
5.
Frost H
Appl Netw Sci
. 2024 May;
9(1):14.
PMID: 38699246
We present a novel approach for computing a variant of eigenvector centrality for multilayer networks with inter-layer constraints on node importance. Specifically, we consider a multilayer network defined by multiple...
6.
Frost H
PLoS Comput Biol
. 2024 Apr;
20(4):e1012084.
PMID: 38683883
We have developed a new, and analytically novel, single sample gene set testing method called Reconstruction Set Test (RESET). RESET quantifies gene set importance based on the ability of set...
7.
Frost H
PLoS Comput Biol
. 2024 Jan;
20(1):e1011717.
PMID: 38206988
We describe a novel single sample gene set testing method for cancer transcriptomics data named tissue-adjusted pathway analysis of cancer (TPAC). The TPAC method leverages information about the normal tissue-specificity...
8.
Schiebout C, Lust H, Huang Y, Frost H
Bioinform Adv
. 2023 Sep;
3(1):vbad120.
PMID: 37745004
Summary: Doublets are usually considered an unwanted artifact of single-cell RNA-sequencing (scRNA-seq) and are only identified in datasets for the sake of removal. However, if cells have a juxtacrine interaction...
9.
Javaid A, Frost H
Bioinform Adv
. 2023 Jun;
3(1):vbad073.
PMID: 37359727
Summary: The rapid development of single-cell transcriptomics has revolutionized the study of complex tissues. Single-cell RNA-sequencing (scRNA-seq) can profile tens-of-thousands of dissociated cells from a tissue sample, enabling researchers to...
10.
Frost H
bioRxiv
. 2023 Apr;
PMID: 37066315
We have developed a new, and analytically novel, single sample gene set testing method called Reconstruction Set Test (RESET). RESET quantifies gene set importance at both the sample-level and for...