Tyler Funnell
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Explore the profile of Tyler Funnell including associated specialties, affiliations and a list of published articles.
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12
Citations
425
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Recent Articles
1.
Fei T, Donovan V, Funnell T, Baichoo M, Waters N, Paredes J, et al.
bioRxiv
. 2025 Mar;
PMID: 40027751
Correlating time-dependent patient characteristics and matched microbiome samples can be helpful to identify biomarkers in longitudinal microbiome studies. Existing approaches typically repeat a pre-specified modeling approach for all taxonomic features,...
2.
Fei T, Funnell T, Waters N, Raj S, Baichoo M, Sadeghi K, et al.
Cell Rep Methods
. 2024 Nov;
4(11):100899.
PMID: 39515336
Identifying predictive biomarkers of patient outcomes from high-throughput microbiome data is of high interest, while existing computational methods do not satisfactorily account for complex survival endpoints, longitudinal samples, and taxa-specific...
3.
Dai A, Adintori P, Funnell T, Jogia W, Fei T, Waters N, et al.
bioRxiv
. 2024 Oct;
PMID: 39463943
Intestinal microbiota composition is implicated in several diseases; understanding the factors that influence it are key to elucidating host-commensal interactions and to designing microbiome-targeted therapies. We quantified how diet influences...
4.
Kim M, Gorelick A, Vazquez-Garcia I, Williams M, Salehi S, Shi H, et al.
Nat Genet
. 2024 May;
56(5):889-899.
PMID: 38741018
The extent of cell-to-cell variation in tumor mitochondrial DNA (mtDNA) copy number and genotype, and the phenotypic and evolutionary consequences of such variation, are poorly characterized. Here we use amplification-free...
5.
Fei T, Funnell T, Waters N, Raj S, Sadeghi K, Dai A, et al.
bioRxiv
. 2023 May;
PMID: 37205350
Identifying predictive biomarkers of patient outcomes from high-throughput microbiome data is of high interest, while existing computational methods do not satisfactorily account for complex survival endpoints, longitudinal samples, and taxa-specific...
6.
Vazquez-Garcia I, Uhlitz F, Ceglia N, Lim J, Wu M, Mohibullah N, et al.
Nature
. 2022 Dec;
612(7941):778-786.
PMID: 36517593
High-grade serous ovarian cancer (HGSOC) is an archetypal cancer of genomic instability patterned by distinct mutational processes, tumour heterogeneity and intraperitoneal spread. Immunotherapies have had limited efficacy in HGSOC, highlighting...
7.
Funnell T, OFlanagan C, Williams M, McPherson A, McKinney S, Kabeer F, et al.
Nature
. 2022 Oct;
612(7938):106-115.
PMID: 36289342
How cell-to-cell copy number alterations that underpin genomic instability in human cancers drive genomic and phenotypic variation, and consequently the evolution of cancer, remains understudied. Here, by applying scaled single-cell...
8.
Landau H, Orlando E, Rodriguez E, Applebaum A, Mitchell H, Peled J, et al.
Transplant Cell Ther
. 2022 Oct;
28(12):832.e1-832.e7.
PMID: 36182105
For eligible patients with multiple myeloma (MM) and amyloid light chain (AL) amyloidosis, high-dose chemotherapy and autologous hematopoietic cell transplantation (HCT) is a standard and widely used consolidation therapy. Autologous...
9.
Eirew P, OFlanagan C, Ting J, Salehi S, Brimhall J, Wang B, et al.
Nat Commun
. 2022 Aug;
13(1):4534.
PMID: 35927228
Assessing tumour gene fitness in physiologically-relevant model systems is challenging due to biological features of in vivo tumour regeneration, including extreme variations in single cell lineage progeny. Here we develop...
10.
Funnell T, Zhang A, Grewal D, McKinney S, Bashashati A, Wang Y, et al.
PLoS Comput Biol
. 2019 Feb;
15(2):e1006799.
PMID: 30794536
Mutation signatures in cancer genomes reflect endogenous and exogenous mutational processes, offering insights into tumour etiology, features for prognostic and biologic stratification and vulnerabilities to be exploited therapeutically. We present...