Yu-Han H. Hsu

发表

Developing Computational Methods for Analyzing Metabolomics Data and Applications to Study Obesity

Yu-Han H. Hsu, 2018 .

GPU-Accelerated Compartmental Modeling Analysis of DCE-MRI Data from Glioblastoma Patients Treated with Bevacizumab

Yu-Han H. Hsu, Ziyin Huang, G. Ferl, 2015, PloS one.

Integrating untargeted metabolomics, genetically informed causal inference, and pathway enrichment to define the obesity metabolome

Yu-Han H. Hsu, J. Hirschhorn, A. Metspalu, 2019, bioRxiv.

Metabolomic profiles as reliable biomarkers of dietary composition.

Yu-Han H. Hsu, J. Hirschhorn, T. Esko, 2017, The American journal of clinical nutrition.

Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium

Yu-Han H. Hsu, Sanjay R. Patel, J. Witte, 2017, PLoS genetics.

Genoppi is an open-source software for robust and standardized integration of proteomic and genetic data

Yu-Han H. Hsu, K. Lage, K. Eggan, 2021, Nature Communications.

Metabolomic proﬁles as reliable biomarkers of dietary composition 1–3

Yu-Han H. Hsu, J. Hirschhorn, T. Esko, 2017 .

Genome-wide Analysis of Body Proportion Classifies Height-Associated Variants by Mechanism of Action and Implicates Genes Important for Skeletal Development.

Yu-Han H. Hsu, Michael H. Guo, D. Strachan, 2015, American journal of human genetics.

Protein interaction studies in human induced neurons indicate convergent biology underlying autism spectrum disorders

Yu-Han H. Hsu, K. Lage, K. Eggan, 2023, Cell genomics.

Using brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia

Yu-Han H. Hsu, S. Carr, K. Lage, 2021, medRxiv.

Hepatic NADH reductive stress underlies common variation in metabolic traits

Yu-Han H. Hsu, Russell P. Goodman, Owen S. Skinner, 2020, Nature.

Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry.

Scott M. Williams, Yu-Han H. Hsu, Nicholette D. Palmer, 2021, American journal of human genetics.

Using metabolite profiling to construct and validate a metabolite risk score for predicting future weight gain

Yu-Han H. Hsu, M. Ridderstråle, J. Hirschhorn, 2019, PloS one.

GPU-accelerated nonparametric kinetic analysis of DCE-MRI data from glioblastoma patients treated with bevacizumab.

Yu-Han H. Hsu, Yu-Han H Hsu, Gregory Z Ferl, 2013, Magnetic resonance imaging.

Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia

Yu-Han H. Hsu, K. Eggan, M. Schenone, 2023, iScience.

Integrating untargeted metabolomics, genetically informed causal inference, and pathway enrichment to define the obesity metabolome

Yu-Han H. Hsu, J. Hirschhorn, A. Metspalu, 2019, bioRxiv.

PAIRUP-MS: Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data

Andres Metspalu, Kristen Fortney, Tune H Pers, 2017, bioRxiv.

Genoppi is an open-source software for robust and standardized integration of proteomic and genetic data

Yu-Han H. Hsu, K. Lage, K. Eggan, 2021, Nature Communications.