Dan-Yu Lin

发表

Mixed Models for Case-Control Genome-Wide Association Studies: Major Challenges and Partial Solutions

Saharon Rosset, David E. Golan, Dan-Yu Lin, 2018, Handbook of Statistical Methods for Case-Control Studies.

SCOPE: A Normalization and Copy-Number Estimation Method for Single-Cell DNA Sequencing.

Yuchao Jiang, Dan-Yu Lin, Rujin Wang, 2020, Cell systems.

BIOINFORMATICS ORIGINAL PAPER

Qianchuan He, Dan-Yu Lin, D. Lin, 2022 .

Semiparametric regression analysis of interval‐censored competing risks data

Donglin Zeng, Dan-Yu Lin, Lu Mao, 2016, Biometrics.

Meta-analysis for Discovering Rare-Variant Associations: Statistical Methods and Software Programs.

Dan-Yu Lin, Zheng-Zheng Tang, D. Lin, 2015, American journal of human genetics.

Consistency and overfitting of multi-omics methods on experimental data

Dan-Yu Lin, Michael I Love, Sean D McCabe, 2019, Briefings Bioinform..

A general framework for integrative analysis of incomplete multiomics data

Donglin Zeng, Dan-Yu Lin, David Couper, 2020, Genetic epidemiology.

Efficient Semiparametric Inference Under Two-Phase Sampling, With Applications to Genetic Association Studies

Ran Tao, Donglin Zeng, Dan-Yu Lin, 2017, Journal of the American Statistical Association.

Genetic association analysis under complex survey sampling: the Hispanic Community Health Study/Study of Latinos.

Ran Tao, Donglin Zeng, Dan-Yu Lin, 2014, American journal of human genetics.

Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling

Ran Tao, Donglin Zeng, Dan-Yu Lin, 2015, Journal of the American Statistical Association.

PreMeta: a tool to facilitate meta-analysis of rare-variant associations

Ran Tao, Dan-Yu Lin, Zhouwen Liu, 2017, BMC Genomics.

MASS: meta-analysis of score statistics for sequencing studies

Dan-Yu Lin, Zheng-Zheng Tang, D. Lin, 2013, Bioinform..

Meta-analysis of genome-wide association studies with overlapping subjects.

Dan-Yu Lin, Patrick F Sullivan, P. Sullivan, 2009, American journal of human genetics.

Improving the Power to Detect Indirect Effects in Mediation Analysis

Dan-Yu Lin, John Kidd, D. Lin, 2021, 2107.09812.

Joint Analysis of Psychiatric Disorders Increases Accuracy of Risk Prediction for Schizophrenia, Bipolar Disorder, and Major Depressive Disorder

Laura J. Scott, Naomi R. Wray, Margaret A. Pericak-Vance, 2015, American journal of human genetics.

Fine-Mapping and Initial Characterization of QT Interval Loci in African Americans

Karen L. Mohlke, Praveen Sethupathy, Lucia A. Hindorff, 2012, PLoS genetics.

A general framework for detecting disease associations with rare variants in sequencing studies.

Dan-Yu Lin, Zheng-Zheng Tang, D. Lin, 2011, American journal of human genetics.

Integrative analysis of sequencing and array genotype data for discovering disease associations with rare mutations

Dan-Yu Lin, Yun Li, Yi-Juan Hu, 2015, Proceedings of the National Academy of Sciences.

Simultaneous inference on treatment effects in survival studies with factorial designs

Dan-Yu Lin, Paul Gallo, David Couper, 2016, Biometrics.

Meta-analysis of gene-level associations for rare variants based on single-variant statistics.

Dan-Yu Lin, Andrea Ganna, Yi-Juan Hu, 2013, American journal of human genetics.

Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

Jianxin Shi, Susmita Datta, Aribert Rothenberger, 2013, Nature Genetics.

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Christian Gieger, Jianxin Shi, Inês Barroso, 2013, Nature Genetics.

Meta‐Analysis of Sequencing Studies With Heterogeneous Genetic Associations

Dan-Yu Lin, Zheng-Zheng Tang, D. Lin, 2014, Genetic epidemiology.

Inactivating mutations in NPC1L1 and protection from coronary heart disease.

John Spertus, Thomas Meitinger, Joshua C Denny, 2014, The New England journal of medicine.

Adipose Tissue Gene Expression Associations Reveal Hundreds of Candidate Genes for Cardiometabolic Traits.

Dan-Yu Lin, Christian Fuchsberger, Michael I Love, 2019, American journal of human genetics.

I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms

Donglin Zeng, Dan-Yu Lin, Charles M Perou, 2019, Genome Biology.

Loss-of-function mutations in APOC3, triglycerides, and coronary disease.

He Zhang, Thomas Meitinger, Raimund Erbel, 2014, The New England journal of medicine.

Quantitative trait analysis in sequencing studies under trait-dependent sampling

Donglin Zeng, Dan-Yu Lin, Zheng-Zheng Tang, 2013, Proceedings of the National Academy of Sciences.