Xiaoyin Li

发表

Prediction of time series by statistical learning: general losses and fast rates

Pierre Alquier, Xiaoyin Li, O. Wintenberger, 2012, 1211.1847.

Learning under Dependence for Aggregation of Estimators andClassification, with Applications to DNA Analysis

Xiaoyin Li, 2014 .

The power of genetic diversity in genome-wide association studies of lipids

Christopher D. Brown, Aaron F. McDaid, M. P. Concas, 2021, Nature.

On weak dependence conditions: The case of discrete valued processes

P. Doukhan, Xiaoyin Li, K. Fokianos, 2012 .

Two Optimization Approaches for Solving Split Variational Inclusion Problems with Applications

Xiaoyin Li, Xiaojun Ma, Hongwei Liu, 2022, Journal of Scientific Computing.

An iterative approach to detect pleiotropy and perform Mendelian Randomization analysis using GWAS summary statistics

Xiaofeng Zhu, Rong Xu, Tao Wang, 2020, Bioinform..

Cross-Phenotype Association Analysis Using Summary Statistics from GWAS.

Xiaofeng Zhu, Xiaoyin Li, Xiaofeng Zhu, 2017, Methods in molecular biology.

Multivariate Analysis of Anthropometric Traits Using Summary Statistics of Genome-Wide Association Studies from GIANT Consortium

Xiaofeng Zhu, Xiaoyin Li, Yeunjoo E. Song, 2016, PloS one.

A Saturated Map of Common Genetic Variants Associated with Human Height from 5.4 Million Individuals of Diverse Ancestries

Aaron F. McDaid, Yan V. Sun, Cassandra N. Spracklen, 2022 .

Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

Jennifer G. Robinson, Nicholette D. Palmer, P. Elliott, 2019, Nature Communications.

Statistical inference for DNA sequences of promoters: a non-stationary qualitative model

P. Doukhan, Xiaoyin Li, J. Feugeas, 2017 .

Leveraging linkage evidence to identify low-frequency and rare variants on 16p13 associated with blood pressure using TOPMed whole genome sequencing data

May E. Montasser, T. Assimes, A. Reiner, 2019, Human Genetics.

Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci

Nicholette D. Palmer, P. Elliott, M. Fornage, 2020, Molecular Psychiatry.

Prediction of Quantiles by Statistical Learning and Application to GDP Forecasting

Pierre Alquier, Xiaoyin Li, Pierre Alquier, 2012, Discovery Science.

Leveraging linkage evidence to identify low-frequency and rare variants on 16p13 associated with blood pressure using TOPMed whole genome sequencing data

May E. Montasser, T. Assimes, A. Reiner, 2019, Human Genetics.

Height associated variants demonstrate assortative mating in human populations

Scott M. Williams, S. Redline, Xiaofeng Zhu, 2017, Scientific Reports.

Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

Jennifer G. Robinson, Nicholette D. Palmer, P. Elliott, 2019, Nature Communications.

Machine Learning-Based Identifications of COVID-19 Fake News Using Biomedical Information Extraction

Xiaoyin Li, Mengshi Zhou, Melissa B. Hanzsek-Brill, 2023, Big Data Cogn. Comput..

A saturated map of common genetic variants associated with human height

Aaron F. McDaid, M. P. Concas, Cassandra N. Spracklen, 2022, Nature.

Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

Jennifer G. Robinson, M. P. Concas, Nicholette D. Palmer, 2019, Nature Communications.

Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci

Nicholette D. Palmer, P. Elliott, M. Fornage, 2020, Molecular Psychiatry.

The iterative method for solving the proximal split feasibility problem with an application to LASSO problem

Xiaoyin Li, Xiaojun Ma, Hongwei Liu, 2021, Computational and Applied Mathematics.