Author

Junmei Cairns

Mayo ClinicORCID 0000-0002-3941-4564Unclaimed ORCID profile · follow to get notified of new preprints

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Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Research Focus:drug response / drug discovery· 3 Research Focus:gene regulatory network inference· 3 Organism:human· 3 Research Focus:benchmarking· 2 Approach:statistical model· 2 Assay:ChIP-seq· 1

Frequent Co-Authors

Liewei WangiD· 3 shared Saurabh SinhaiD· 2 shared Amin EmadiD· 1 shared Amin EmadiD· 1 shared Casey Ryan HansoniD· 1 shared David Earl HostalleroiD· 1 shared Krishna R. KalariiD· 1 shared Lixuan WeiiD· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 14 mutual co-author links

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3 shared papersBioinformatics

Liewei WangORCID

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3 papers

Recent·Most cited

A Deep Learning Framework for Prediction of Clinical Drug Response of Cancer Patients and Identification of Drug Sensitivity Biomarkers using Preclinical Samples

David Earl Hostallero, Lixuan Wei, Liewei Wang, Junmei Cairns, Amin Emad

This paper develops a deep learning framework called TINDL to predict cancer patient drug response and identify drug sensitivity biomarkers using preclinical samples, showing improved performance over other models.

bioRxiv · Jul 6, 2021 · PreprintBioinformatics

Principled Multi-Omic Analysis Reveals Gene Regulatory Mechanisms Of Phenotype Variation

Casey Ryan Hanson, Junmei Cairns, Liewei Wang, Saurabh Sinha

This study introduces pGENMi, a probabilistic model that integrates multi-omics data to identify transcription factors regulating cell line response to cytotoxic treatment, finding 41% validation rate for predicted associations.

Genome Research · Aug 1, 2018Peer-reviewedGenomics

Knowledge-guided gene prioritization reveals new insights into the mechanisms of chemoresistance

Amin Emad, Junmei Cairns, Krishna R. Kalari, Liewei Wang, Saurabh Sinha

The paper introduces ProGENI, a gene prioritization method that improves drug sensitivity prediction by integrating gene expression and prior biological knowledge, identifying new genes involved in chemoresistance.

Genome biology · Aug 11, 2017Peer-reviewedBioinformatics