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Rapid Acceleration of Diagnostics - Digital Health Technologies (RADx-DHT): NIH Digital Health Solutions for COVID-19: Team SAE
Study
phs002534
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WGS analysis of Japanese liver cancer
Study
JGAS000151
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Clinical Outcomes by Tumor Mutational Burden and Inflammatory Gene Expression With Combined Nivolumab and Ipilimumab or Monotherapy in Advanced Melanoma_CM67-RNASeq
Dataset
EGAD00001006306
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Clinical Outcomes by Tumor Mutational Burden and Inflammatory Gene Expression With Combined Nivolumab and Ipilimumab or Monotherapy in Advanced Melanoma - CM066-WES
Dataset
EGAD00001006309
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Elucidating the development of cervical cancer and identifying therapeutic targets based on cancer genome analysis.
Study
JGAS000803
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Cancer genomics for elucidation of molecular mechanisms of carcinogenecis and progression in lung cancer
Study
JGAS000756
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GeneSTAR (Genetic Study of Atherosclerosis Risk) NextGen Consortium: Functional Genomics of Platelet Aggregation Using iPS and Derived Megakaryocytes
Study
phs001074
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NHLBI TOPMed: Genetic Study of Atherosclerosis Risk (GeneSTAR)
Study
phs001218
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The epigenetic landscape controlled by p63 in epidermal development
Study
phs001737
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PDX_models_from_Latin_America_RNAseq_Xenofiltered
Study
EGAS00001008232