Author

M. I. Love

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:GWAS / association mapping· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

M. A. Troester· 2 shared A. Bhattacharya· 1 shared A. F. Olshan· 1 shared A. Walens· 1 shared C. M. Perou· 1 shared D. Wu· 1 shared J.-E. Park· 1 shared K. A. Hoadley· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

M. A. Troester

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2 papers

Recent·Most cited

Cancer BiologybioRxivFeb 9, 2023

Diffsig: Associating Risk Factors With Mutational Signatures

J.-E. Park, M. A. Smith, S. C. Van Alsten…·M. I. Love

Diffsig estimates associations between risk factors and mutational signatures using a Bayesian model, confirming known cancer mechanisms in breast cancer data.

DOI 10.1158/1055-9965.epi-23-0728

humanwhole-genome sequencing

𝕏 PostBluesky

Cancer BiologybioRxivSep 14, 2019

A framework for transcriptome-wide association studies in breast cancer in diverse study populations

A. Bhattacharya, M. Garcia-Closas, A. F. Olshan…·M. I. Love

This paper develops a framework for transcriptome-wide association studies (TWAS) in breast cancer across diverse populations, identifying gene associations in underrepresented groups that are missed by GWAS.

DOI 10.1186/s13059-020-1942-6

humanbulk RNA-seq

𝕏 PostBluesky