Faculty

Institution

Unit

Venue

Shili Lin

Professor of Statistics

Ohio State University

Affiliations

College of Arts and Sciences

Statistics

Shili Lin is currently serving as a College Of Arts And Sciences Professor of Statistics at Ohio State University.

Honors

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Experiences

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Education

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Shili Lin

Ohio State University

Professor of Statistics

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genetics genomics biostatistics population genetics bioinformatics data science human genetics statistical genetics molecular biology genetic epidemiology medical genetics biometrics statistical methodology microarray data analysis sequence analysis computational biology genome biology respiratory medicine epigenomics bayesian analysis linkage analysis mammalian biology thrombosis medicinal research cancer biology machine learning research genome analysis computational genomics haplotype determination logistic bayesian lasso rare variants heredity mathematical bioscience immunohaematology markov chain monte carlo molecular imprinting genetic analysis clinical immunology genome-wide association studies parent-of-origin effects maternal effects scientific data scientific computing cytogenetics disease detection developmental genetics monte carlo methods bibliometrics quantitative traits mixture modeling disease loci molecular cancer cellular therapy clinical rheumatology obstetrics and gynaecology endocrine research cancer genetics regularization (mathematics) hemostasis cohort studies gene regulation classification method data classification statistical science translational bioinformatics blood pressure disease gene identification serial analysis chip-seq data finite mixture gene expression data complex pedigrees multiple affected children methylcap-seq data general pedigree data incomplete nuclear families model selection statistical inference biomedical data analysis biomedical informatics molecular informatics systems biology monte carlo

Notable Scholarly Works

Notable Federal Grants

Collaborators

An in Silico Procedure for Generating Protein-Mediated Chromatin Interaction Data and Comparison of Significant Interaction Calling Methods. PLoS ONE (2024)

Shuyuan LouShili Lin

bioinformaticsdata science

Bayesian Lasso for Population Stratification Correction in Rare Haplotype Association Studies. Statistical Applications in Genetics and Molecular Biology (2024)

Zilu LiuAsuman Seda TurkmenShili Lin

statistical methodologybayesian lassopopulation stratification correctionmolecular biologygeneticsapplied statisticspopulation geneticsstatistical geneticsstatistics

Hemodynamically Derived Right Ventricular Diastolic Stiffness Predicts Mortality in Pulmonary Arterial Hypertension. The Journal of Heart and Lung Transplantation (2024)

R. VanderpoolZ. LiuC. FauvelS. LinP. Correa-JaqueM. KanwarJ. KraisangkaA. PererA. EverettR. Benza

health policycardiologyphysiologyrespiratory medicinepulmonary arterial hypertensionhealth sciencestransplantation medicine

Integration of Schi-C and Scrna-Seq Data Defines Distinct 3D-Regulated and Biological-Context Dependent Cell Subpopulations. Nature Communications (2024)

Yufan ZhouTian LiLavanya ChoppavarapuKun FangShili LinVictor X Jin

cell researchcell biologyscrna-seq data definestranscription (biology)molecular biologysystems biologygene expressionsingle cell sequencing

Abstract 111: Accelerated Biological Aging as an Early Pregnancy Predictor of Preeclampsia. Hypertension (2023)

Cindy M AndersonShannon GillespieJohn LesniakJoshua JosephShili Lin

early pregnancy predictorhealth scienceshypertension

Abstract 13918: Improvement of Pulmonary Arterial Hypertension (Pah) Risk Assessment Model Using Cardiac Magnetic Resonance Imaging Variables. Circulation (2023)

Priscilla Correa-JaqueYeming LinShili LinYongqi LiuCharles FauvelRebecca VanderpoolManreet KanwarJidapa KraisangkaAdam PererAllen D EverettSamer AlabedAndew SwiftDavid G KielyRaymond L Benza

risk assessment modelcardiologyrespiratory medicinepulmonary arterial hypertensionhealth sciences

Abstract 15889: An Artificial Intelligence-Derived Pediatric Pulmonary Hypertension Risk Prediction Model From the Pediatric Pulmonary Hypertension Network (Pphnet) Registry. Circulation (2023)

Megan GriffithsCedric ManlhiotBhargava K ChinniLynn A SleeperSteven AbmanErika RosenzweigLewis H RomerMary P MullenShili Linraymond BenzaAllen D Everett

artificial intelligencebiostatisticspediatricshealth informaticsforecastingrespiratory medicinemachine learningstatistics

Abstract 16736: Comparison of Pulmonary Arterial Hypertension Risk Assessment Tools Using a Harmonized FDA Dataset. Circulation (2023)

Charles FauvelShili LinPriscilla Correa-JaqueAllen D EverettAdam PererYongqi LiuManreet KanwarRebecca VanderpoolJidapa Kraisangkaraymond Benza

cardiologyreal world dataharmonized fda datasetrespiratory medicinehealth risk assessmentpulmonary arterial hypertensiondata scienceveterinary medicinehealth sciencesstatistics

An Adaptive and Robust Method for Multi-Trait Analysis of Genome-Wide Association Studies Using Summary Statistics. European Journal of Human Genetics (2023)

Qiaolan DengChi SongShili Lin

biostatisticsmulti-trait analysisgenomicsrobust methodsummary statisticsgenome-wide association studiesgeneticshuman geneticspopulation geneticsstatistics

Do Patients With Low-Risk Pulmonary Arterial Hypertension Really Benefit From Upfront Combination Therapy?. CHEST Journal (2023)

Charles FauvelYongqi LiuPriscilla Correa-JaqueManreet K. KanwarCarmine Dario VizzaShili LinRaymond L. Benza

pulmonary arterial hypertensionmedicineupfront combination therapy

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Shili Lin

Professor of Statistics

Ohio State University

Affiliations

College of Arts and Sciences

Statistics

Shili Lin is currently serving as a College Of Arts And Sciences Professor of Statistics at Ohio State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Shili Lin

Ohio State University

Professor of Statistics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

An in Silico Procedure for Generating Protein-Mediated Chromatin Interaction Data and Comparison of Significant Interaction Calling Methods. PLoS ONE (2024)

Shuyuan LouShili Lin

bioinformaticsdata science

Bayesian Lasso for Population Stratification Correction in Rare Haplotype Association Studies. Statistical Applications in Genetics and Molecular Biology (2024)

Zilu LiuAsuman Seda TurkmenShili Lin

statistical methodologybayesian lassopopulation stratification correctionmolecular biologygeneticsapplied statisticspopulation geneticsstatistical geneticsstatistics

Hemodynamically Derived Right Ventricular Diastolic Stiffness Predicts Mortality in Pulmonary Arterial Hypertension. The Journal of Heart and Lung Transplantation (2024)

R. VanderpoolZ. LiuC. FauvelS. LinP. Correa-JaqueM. KanwarJ. KraisangkaA. PererA. EverettR. Benza

health policycardiologyphysiologyrespiratory medicinepulmonary arterial hypertensionhealth sciencestransplantation medicine

Integration of Schi-C and Scrna-Seq Data Defines Distinct 3D-Regulated and Biological-Context Dependent Cell Subpopulations. Nature Communications (2024)

Yufan ZhouTian LiLavanya ChoppavarapuKun FangShili LinVictor X Jin

cell researchcell biologyscrna-seq data definestranscription (biology)molecular biologysystems biologygene expressionsingle cell sequencing

Abstract 111: Accelerated Biological Aging as an Early Pregnancy Predictor of Preeclampsia. Hypertension (2023)

Cindy M AndersonShannon GillespieJohn LesniakJoshua JosephShili Lin

early pregnancy predictorhealth scienceshypertension

Abstract 13918: Improvement of Pulmonary Arterial Hypertension (Pah) Risk Assessment Model Using Cardiac Magnetic Resonance Imaging Variables. Circulation (2023)

Priscilla Correa-JaqueYeming LinShili LinYongqi LiuCharles FauvelRebecca VanderpoolManreet KanwarJidapa KraisangkaAdam PererAllen D EverettSamer AlabedAndew SwiftDavid G KielyRaymond L Benza

risk assessment modelcardiologyrespiratory medicinepulmonary arterial hypertensionhealth sciences

Abstract 15889: An Artificial Intelligence-Derived Pediatric Pulmonary Hypertension Risk Prediction Model From the Pediatric Pulmonary Hypertension Network (Pphnet) Registry. Circulation (2023)

Megan GriffithsCedric ManlhiotBhargava K ChinniLynn A SleeperSteven AbmanErika RosenzweigLewis H RomerMary P MullenShili Linraymond BenzaAllen D Everett

artificial intelligencebiostatisticspediatricshealth informaticsforecastingrespiratory medicinemachine learningstatistics

Abstract 16736: Comparison of Pulmonary Arterial Hypertension Risk Assessment Tools Using a Harmonized FDA Dataset. Circulation (2023)

Charles FauvelShili LinPriscilla Correa-JaqueAllen D EverettAdam PererYongqi LiuManreet KanwarRebecca VanderpoolJidapa Kraisangkaraymond Benza

cardiologyreal world dataharmonized fda datasetrespiratory medicinehealth risk assessmentpulmonary arterial hypertensiondata scienceveterinary medicinehealth sciencesstatistics

An Adaptive and Robust Method for Multi-Trait Analysis of Genome-Wide Association Studies Using Summary Statistics. European Journal of Human Genetics (2023)

Qiaolan DengChi SongShili Lin

biostatisticsmulti-trait analysisgenomicsrobust methodsummary statisticsgenome-wide association studiesgeneticshuman geneticspopulation geneticsstatistics

Do Patients With Low-Risk Pulmonary Arterial Hypertension Really Benefit From Upfront Combination Therapy?. CHEST Journal (2023)

Charles FauvelYongqi LiuPriscilla Correa-JaqueManreet K. KanwarCarmine Dario VizzaShili LinRaymond L. Benza

pulmonary arterial hypertensionmedicineupfront combination therapy

1
2
3
4
5
19
10 / page

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statistical software

biomedical informatics

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biomedical data science

biomedical informatics

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multidisciplinary ai

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statistical genetics

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sequential experimental design

multilevel models

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