Published in Nutrients, 2019
This paper describes the investigation of the effect of abnomal metabolism of fatty acids (FAs) to anorexia nervosa (AN) patients. We found that intake and AN status modified the correlations of FAs with body mass index (BMI), depression, and anxiety. Specifically, FAs dysregulations correlate with worsened symptoms of AN.
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Published in Pacific Symposium on Biocomputing, 2019
This study provides a rich database of known human variants across SRA samples that can support future meta-analyses of human sequence variation.
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Published in PNAS (Proceedings of the National Academy of Sciences of the United States of America), 2018
Hepatocellular carcinoma (HCC) research has been hampered by the absence of consensus mouse models with clearly defined molecular features faithfully recapitulating human HCC. Here we tackle this gap by implementing a cross-species comparative analysis between a large cohort of patients and four diverse mouse models focused on clinically and therapeutically relevant aspects of genomic and transcriptomic profiles and propose two of these models as valid for the study of different stages of human HCC.
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Published in BioRxiv, 2018
This paper evaluated the potential of using natural language processing method to find namely data sets consisting of short-phrases and long sentences in biomedical metadata.
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Published in BMC Bioinformatics, 2017
In this study, we evaluated the performance of the most recent and commonly used CNV detection tools for WES data in cancer to address their limitations and provide guidelines for developing new ones. We focused on the tools that have been designed or have the ability to detect cancer somatic aberrations.
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Published in AMIA Annual Symposium Proceedings, 2017
This paper describes a framework: PRivacy-preserving EstiMation of Individual admiXture (PREMIX) using Intel software guard extensions (SGX).
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Published in Annals of the New York Academy of Sciences, 2016
This paper investigates the common practices in accessing biomedical data and ethical aspects of genome privacy
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Published in Scientific Reports, 2016
This paper describes a method to identify CDR3 reads in a breast tumor exome and validate it using deep TCRB sequencing in 1,078 TCGA breast cancer exomes.
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