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Thea Norman

University of California, Santa Cruz · US
Area of research
Cancer Research · Genetics
Research interest
Research interests include Medicine, Computational biology, Biology, Genome, Somatic cell, and Clinical trial.
h-index
citations
1,952
works
13
NIH funding
primary concept
email

Recent publications

Causes and consequences of child growth faltering in low-resource settings
Nature 2023cited by 112position: middledoi
Early-childhood linear growth faltering in low- and middle-income countries
Nature 2023cited by 109position: middledoi
Child wasting and concurrent stunting in low- and middle-income countries
Nature 2023cited by 104position: middledoi
A community challenge to evaluate RNA-seq, fusion detection, and isoform quantification methods for cancer discovery
Cell Systems 2021cited by 38position: middledoi
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
JAMA Network Open 2020cited by 409position: middledoi
Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach
Scientific Reports 2019cited by 55position: middledoi
Combining accurate tumor genome simulation with crowdsourcing to benchmark somatic structural variant detection
Genome biology 2018cited by 57position: middledoi
Inferring causal molecular networks: empirical assessment through a community-based effort
Nature Methods 2016cited by 246position: middledoi
Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data
The Lancet Oncology 2016cited by 143position: middledoi
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease
Alzheimer s & Dementia 2016cited by 94position: middledoi
Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
Nature Communications 2016cited by 87position: middledoi
Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection
Nature Methods 2015cited by 367position: middledoi
Systematic Analysis of Challenge-Driven Improvements in Molecular Prognostic Models for Breast Cancer
Science Translational Medicine 2013cited by 131position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Kathleen E. Houlahan · Juravinski Cancer Centre2 papers (2015–2018)David Haussler · Innovative Genomics Institute2 papers (2015–2018)Yin Hu · University of Kentucky2 papers (2015–2018)Gustavo Stolovitzky · New York University2 papers (2015–2018)Paul C. Boutros · University of Virginia2 papers (2015–2018)Adam D. Ewing · Pennsylvania State University2 papers (2015–2018)Joshua M. Stuart · National Cancer Institute2 papers (2015–2018)Takafumi N. Yamaguchi · University of Tsukuba2 papers (2015–2018) · 2 papers (2015–2018)J Christopher Bare · Lawrence Berkeley National Laboratory2 papers (2015–2018)Kyle Ellrott · OHSU Knight Cancer Institute2 papers (2015–2018) · 2 papers (2015–2018)Stephen Friend · American Type Culture Collection2 papers (2015–2018) · 1 papers (2015–2015)Justin Guinney · Tempus Labs (United States)1 papers (2018–2018)Ken Chen · Teikyo University1 papers (2018–2018)Anna Y. Lee · University of Queensland1 papers (2018–2018) · 1 papers (2015–2015) · 1 papers (2015–2015)Zechen Chong · Genomics (United Kingdom)1 papers (2018–2018)