Ruowang Li

发表

Methods of integrating data to uncover genotype–phenotype interactions

M. Ritchie, E. Holzinger, Ruowang Li, 2015, Nature Reviews Genetics.

Paternally Induced Transgenerational Environmental Reprogramming of Metabolic Gene Expression in Mammals

Zhiping Weng, Nir Friedman, Ruowang Li, 2010, Cell.

Evaluation of phenotyping errors on polygenic risk score predictions

Jason H. Moore, Ruowang Li, R. Duan, 2019, bioRxiv.

Electronic health records and polygenic risk scores for predicting disease risk

Jason H. Moore, M. Ritchie, Ruowang Li, 2020, Nature Reviews Genetics.

Integration of genetic and functional genomics data to uncover chemotherapeutic induced cytotoxicity

M. Dolan, M. Ritchie, Ruowang Li, 2018, The Pharmacogenomics Journal.

Evaluation of Phenotyping Errors on Polygenic Risk Score Predictions

Jason H. Moore, Jiayi Tong, Rui Duan, 2020, BIOINFORMATICS.

Statistical Impact of Sample Size and Imbalance on Multivariate Analysis in silico and A Case Study in the UK Biobank

M. Ritchie, Ruowang Li, Xinyuan Zhang, 2020, AMIA.

Mbd3/NURD Complex Regulates Expression of 5-Hydroxymethylcytosine Marked Genes in Embryonic Stem Cells

Poshen B. Chen, Z. Weng, Ruowang Li, 2011, Cell.

Methods to analyze big data in pharmacogenomics research.

Ruowang Li, Marylyn D Ritchie, Dokyoon Kim, 2017, Pharmacogenomics.

Collective feature selection to identify crucial epistatic variants

M. Ritchie, Ruowang Li, Dokyoon Kim, 2018, bioRxiv.

Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics

Jason W. Moore, Christopher R. Bauer, Sarah P. Pendergrass, 2021, Nature Communications.

Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics

Christopher R. Bauer, T. Lumley, H. Hakonarson, 2021, Nature Communications.

A regression framework to uncover pleiotropy in large-scale electronic health record data

Jason H. Moore, Ruowang Li, Yong Chen, 2019, J. Am. Medical Informatics Assoc..

Antagonistic Chromatin Remodeling Complexes, Mbd3 and Brg1, Regulate a Set of Common Target Genes in Embryonic Stem Cells

Ruowang Li, 2011 .

Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma

Marylyn D. Ritchie, Shefali S. Verma, Scott M. Dudek, 2017, J. Am. Medical Informatics Assoc..

Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma

Marylyn D. Ritchie, Scott M. Dudek, Do Kyoon Kim, 2014, Pacific Symposium on Biocomputing.

Integration of genetic and clinical information to improve imputation of data missing from electronic health records

Jason H. Moore, Ruowang Li, Yong Chen, 2019, J. Am. Medical Informatics Assoc..

Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer

Marylyn D. Ritchie, Scott M. Dudek, Do Kyoon Kim, 2015, J. Biomed. Informatics.

ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network

Marylyn D. Ritchie, Scott M. Dudek, Do Kyoon Kim, 2013, BioData Mining.

Stability study of PbSe semiconductor nanocrystals over concentration, size, atmosphere, and light exposure.

William W. Yu, Manhong Liu, Ruowang Li, 2009, Langmuir : the ACS journal of surfaces and colloids.

Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden

Marylyn D. Ritchie, Yukiko Bradford, Shefali S. Verma, 2016, PSB.

Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis

Marylyn D. Ritchie, Scott M. Dudek, Ruowang Li, 2013, GPTP.

Knowledge-driven genomic interactions: an application in ovarian cancer

Do Kyoon Kim, M. Ritchie, Ruowang Li, 2014, BioData Mining.

Integration of genetic and functional genomics data to uncover chemotherapeutic induced cytotoxicity

M. Dolan, M. Ritchie, Ruowang Li, 2019, The Pharmacogenomics Journal.

ChatGPT and large language models in academia: opportunities and challenges

G. Gonzalez-Hernandez, Ruowang Li, T. Bright, 2023, BioData Mining.

Automated quantitative trait locus analysis (AutoQTL)

Ruowang Li, Jianjun Gao, K. Ishiwari, 2023, bioRxiv.

An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations

Marylyn D. Ritchie, Scott M. Dudek, Do Kyoon Kim, 2014, EvoApplications.

Robust-ODAL: Learning from heterogeneous health systems without sharing patient-level data

Yong Chen, Jason H. Moore, Ruowang Li, 2019, PSB.

Automated quantitative trait locus analysis (AutoQTL)

Ruowang Li, Jianjun Gao, K. Ishiwari, 2023, BioData Mining.

Collective feature selection to identify crucial epistatic variants

Xinyuan Zhang, Jason H. Moore, Ryan J. Urbanowicz, 2018, BioData Mining.

Big Data Analytics in Bioinformatics and Healthcare

Ruowang Li, W. Perrizo, Baoying Wang, 2014 .

Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network

Marylyn D. Ritchie, Yukiko Bradford, Scott M. Dudek, 2016, BioData Mining.

Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer

Do Kyoon Kim, M. Ritchie, Ruowang Li, 2015, J. Biomed. Informatics.