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Predicting severity in COVID-19 disease using sepsis blood gene expression signatures

Scientific reports, 2023-01, Vol.13 (1), p.1247-1247, Article 1247

2023

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Engineered helicase replaces thermocycler in DNA amplification while retaining desired PCR characteristics

Nature communications, 2022-10, Vol.13 (1), p.6312-6312, Article 6312

2022

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Single cardiomyocyte nuclear transcriptomes reveal a lincRNA-regulated de-differentiation and cell cycle stress-response in vivo

Nature communications, 2017-08, Vol.8 (1), p.225-13, Article 225

2017

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Genomic enhancers in cardiac development and disease

Nature reviews cardiology, 2022-01, Vol.19 (1), p.7-25

2022

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Peripheral inflammatory biomarkers define biotypes of bipolar depression

Molecular psychiatry, 2021-07, Vol.26 (7), p.3395-3406

2021

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Connecting blood and intratumoral T reg cell activity in predicting future relapse in breast cancer

Nature immunology, 2019-09, Vol.20 (9), p.1220

2019

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Divergent clonal selection dominates medulloblastoma at recurrence

Nature (London), 2016-01, Vol.529 (7586), p.351-357

2016

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Copulation in antiarch placoderms and the origin of gnathostome internal fertilization

Nature (London), 2015-01, Vol.517 (7533), p.196-199

2015

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MicroRNAs as potential therapeutics to enhance chemosensitivity in advanced prostate cancer

Scientific reports, 2018-05, Vol.8 (1), p.7820-12, Article 7820

2018

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Evaluation of DNA microarray results with quantitative gene expression platforms

Nature biotechnology, 2006-09, Vol.24 (9), p.1115-1122

2006

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Genetic variation influencing DNA methylation provides insights into molecular mechanisms regulating genomic function

Nature genetics, 2022-01, Vol.54 (1), p.18-29

2022

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A novel Alzheimer disease locus located near the gene encoding tau protein

Molecular psychiatry, 2016-01, Vol.21 (1), p.108-117

2016

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Characterizing the malignancy and drug resistance of cancer cells from their membrane resealing response

Scientific reports, 2016-05, Vol.6 (1), p.26692-26692, Article 26692

2016

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Common variants at 7p21 are associated with frontotemporal lobar degeneration with TDP-43 inclusions

Nature genetics, 2010-03, Vol.42 (3), p.234-239

2010

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Infrequently expressed miRNAs in colorectal cancer tissue and tumor molecular phenotype

Modern pathology, 2017-08, Vol.30 (8), p.1152-1169

2017

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The genome of woodland strawberry ( Fragaria vesca )

Nature genetics, 2011-02, Vol.43 (2), p.109-116

2011

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Platform for the interdisciplinary study of cardiovascular, metabolic and neurovascular diseases (PICMAN) protocol

Scientific reports, 2023-11, Vol.13 (1), p.20521-20521, Article 20521

2023

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Detectable clonal mosaicism and its relationship to aging and cancer

Nature genetics, 2012-06, Vol.44 (6), p.651-658

2012

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On the issue of transparency and reproducibility in nanomedicine

Nature nanotechnology, 2019-07, Vol.14 (7), p.629-635

2019

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Spatial distribution of B cells and lymphocyte clusters as a predictor of triple-negative breast cancer outcome

NPJ breast cancer, 2021-07, Vol.7 (1), p.84-84, Article 84

2021

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Infrequently expressed miRNAs in colorectal cancer tissue and tumor molecular phenotype

Modern pathology, 2018-01, Vol.31 (1), p.209-209

2018

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ERK1/2 phosphorylation predicts survival following anti-PD-1 immunotherapy in recurrent glioblastoma

Nature cancer, 2021-12, Vol.2 (12), p.1372

2021

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Genome-wide association analysis of venous thromboembolism identifies new risk loci and genetic overlap with arterial vascular disease

Nature genetics, 2019-11, Vol.51 (11), p.1574-1579

2019

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Early role of vascular dysregulation on late-onset Alzheimer's disease based on multifactorial data-driven analysis

Nature communications, 2016-06, Vol.7 (1), p.11934-11934, Article 11934

2016

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Predicting Alzheimer's disease progression using multi-modal deep learning approach

Scientific reports, 2019-02, Vol.9 (1), p.1952, Article 1952

2019

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Predicting severity in COVID-19 disease using sepsis blood gene expression signatures

Engineered helicase replaces thermocycler in DNA amplification while retaining desired PCR characteristics

Single cardiomyocyte nuclear transcriptomes reveal a lincRNA-regulated de-differentiation and cell cycle stress-response in vivo

Genomic enhancers in cardiac development and disease

Peripheral inflammatory biomarkers define biotypes of bipolar depression

Connecting blood and intratumoral T reg cell activity in predicting future relapse in breast cancer

Divergent clonal selection dominates medulloblastoma at recurrence

Copulation in antiarch placoderms and the origin of gnathostome internal fertilization

MicroRNAs as potential therapeutics to enhance chemosensitivity in advanced prostate cancer

Evaluation of DNA microarray results with quantitative gene expression platforms

Genetic variation influencing DNA methylation provides insights into molecular mechanisms regulating genomic function

A novel Alzheimer disease locus located near the gene encoding tau protein

Characterizing the malignancy and drug resistance of cancer cells from their membrane resealing response

Common variants at 7p21 are associated with frontotemporal lobar degeneration with TDP-43 inclusions

Infrequently expressed miRNAs in colorectal cancer tissue and tumor molecular phenotype

The genome of woodland strawberry ( Fragaria vesca )

Platform for the interdisciplinary study of cardiovascular, metabolic and neurovascular diseases (PICMAN) protocol

Detectable clonal mosaicism and its relationship to aging and cancer

On the issue of transparency and reproducibility in nanomedicine

Spatial distribution of B cells and lymphocyte clusters as a predictor of triple-negative breast cancer outcome

Infrequently expressed miRNAs in colorectal cancer tissue and tumor molecular phenotype

ERK1/2 phosphorylation predicts survival following anti-PD-1 immunotherapy in recurrent glioblastoma

Genome-wide association analysis of venous thromboembolism identifies new risk loci and genetic overlap with arterial vascular disease

Early role of vascular dysregulation on late-onset Alzheimer's disease based on multifactorial data-driven analysis

Predicting Alzheimer's disease progression using multi-modal deep learning approach

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