F. Dezem

发表

Predicting master transcription factors from pan-cancer expression data

Henry W. Long, R. Young, H. Noushmehr, 2019, bioRxiv.

Transcriptome and interactome analyses identify the TP53 interacting gene RCCD1 as a candidate susceptibility gene at the 15p26.1 breast and ovarian cancer risk locus

P. Pharoah, M. Freedman, S. Gayther, 2020, bioRxiv.

Ovarian Cancer Risk Variants Are Enriched in Histotype-Specific Enhancers and Disrupt Transcription Factor Binding Sites.

Simon G. Coetzee, Dennis J. Hazelett, B. Berman, 2020, American journal of human genetics.

US Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Epsilon Variant: Highly Transmissible but With an Adjusted Muted Host T-Cell Response

F. Dezem, A. Stotland, S. Jordan, 2022, Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America.

US Severe Acute Respiratory Syndrome Coronavirus 2 Epsilon Variant: Highly Transmissible but With an Adjusted Muted Host T-Cell Response

F. Dezem, A. Stotland, S. Jordan, 2022, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer

L. Kiemeney, R. Vierkant, Jingmei Li, 2020, bioRxiv.

Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci

Simon G. Coetzee, A. Whittemore, M. Beckmann, 2022, Journal of the National Cancer Institute.

DNA Methylation-based Signatures Classify Sporadic Pituitary Tumors According to Clinicopathological Features

H. Noushmehr, T. Malta, S. Kalkanis, 2020, bioRxiv.

A global metagenomic map of urban microbiomes and antimicrobial resistance

Stephanie L. Hyland, Nora C. Toussaint, Paweł P. Łabaj, 2021, Cell.

Ovarian Cancer Risk Variants are Enriched in Histotype-Specific Enhancers that Disrupt Transcription Factor Binding Sites

Simon G. Coetzee, Dennis J. Hazelett, B. Berman, 2020, bioRxiv.

US Severe Acute Respiratory Syndrome Coronavirus 2 Epsilon Variant: Highly Transmissible but With an Adjusted Muted Host T-Cell Response

F. Dezem, A. Stotland, S. Jordan, 2022, Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America.

Super-Enhancer-Associated LncRNA UCA1 Interacts Directly with AMOT to Activate YAP Target Genes in Epithelial Ovarian Cancer

Henry W. Long, T. Sellers, H. Noushmehr, 2019, iScience.

Optimizing exosomal RNA isolation for RNA-Seq analyses of archival sera specimens

H. Noushmehr, B. Karlan, F. Dezem, 2018, PloS one.

Incidence and prognostic impact of HER2‐positivity loss after dual HER2‐directed neoadjuvant therapy for HER2+ breast cancer

H. McArthur, F. Dezem, J. Plummer, 2023, Cancer medicine.

A Machine Learning One-Class Logistic Regression Model to Predict Stemness in Single Cell Transcriptomics and Spatial Omics Datasets

Zachary R. Lewis, T. Malta, F. Dezem, 2023, bioRxiv.

A machine learning one-class logistic regression model to predict stemness for single cell transcriptomics and spatial omics

T. Malta, F. Dezem, Giang T Ong, 2023, BMC Genomics.

A Comparative Analysis of Imaging-Based Spatial Transcriptomics Platforms

F. Dezem, Kellie Wise, Jasmine Plummer, 2023, bioRxiv.

Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions.

Simon G. Coetzee, L. Kiemeney, R. Vierkant, 2024, American journal of human genetics.

Cis- and trans-eQTL TWASs of breast and ovarian cancer identify more than 100 susceptibility genes in the BCAC and OCAC consortia.

S. Gayther, J. Schildkraut, F. Dezem, 2024, American journal of human genetics.

Cis- and trans-eQTL TWAS of breast and ovarian cancer identify more than 100 risk associated genes in the BCAC and OCAC consortia

S. Gayther, J. Schildkraut, F. Dezem, 2023, bioRxiv.