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D-Index & Metrics

Genetics

D-Index
126
Citations
113095
World Ranking
297
National Ranking
156

Research.com Recognitions

  • 2005 - Fellow of the American Statistical Association (ASA)

Overview

Jun S. Liu is affiliated with Harvard University in the United States. Their research spans multiple areas in biochemistry, genetics, and molecular biology, with a strong focus on statistical methods and inference applied to biological data.

The main fields of study for Jun S. Liu include:

  • Biochemistry, Genetics and Molecular Biology

Their subfields of study highlight a multidisciplinary approach combining statistical and molecular perspectives:

  • Statistics and Probability
  • Molecular Biology
  • Artificial Intelligence
  • Genetics
  • Materials Chemistry

Jun S. Liu's work covers key topics such as:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Gaussian Processes and Bayesian Inference
  • Markov Chains and Monte Carlo Methods
  • Genomics and Phylogenetic Studies
  • Advanced Statistical Methods and Models

Their research has been published in various scientific journals. Frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of the American Statistical Association
  • Scientific Reports
  • Statistica Sinica
  • bioRxiv (Cold Spring Harbor Laboratory)

Some of Jun S. Liu's recent papers include:

  • "PLncDB V2.0: a comprehensive encyclopedia of plant long noncoding RNAs" (2020, Nucleic Acids Research)
  • "Probiotic and Oxytocin Combination Therapy in Patients with Autism Spectrum Disorder: A Randomized, Double-Blinded, Placebo-Controlled Pilot Trial" (2021, Nutrients)
  • "Periodization and Block Periodization in Sports: Emphasis on Strength-Power Training-A Provocative and Challenging Narrative" (2021, The Journal of Strength and Conditioning Research)
  • "Determinants of transcription factor regulatory range" (2020, Nature Communications)
  • "A RIPK1-regulated inflammatory microglial state in amyotrophic lateral sclerosis" (2021, Proceedings of the National Academy of Sciences)

Frequent collaborators in Jun S. Liu's research include:

  • Chenguang Dai
  • Zhirui Hu
  • Xin Xing
  • Xuezhen Gao
  • Ke Deng

Jun S. Liu was recognized in 2005 as a Fellow of the American Statistical Association (ASA).

Best Publications

  • The Genotype-Tissue Expression (GTEx) project

    John Lonsdale;Jeffrey Thomas;Mike Salvatore;Rebecca Phillips

  • Topological domains in mammalian genomes identified by analysis of chromatin interactions

    Jesse R Dixon;Siddarth Selvaraj;Siddarth Selvaraj;Feng Yue;Audrey Kim

  • The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

    Kristin G. Ardlie;David S. Deluca;Ayellet V. Segrè

  • Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response

    Peng Jiang;Shengqing Gu;Deng Pan;Jingxin Fu

  • Calcineurin is a common target of cyclophilin-cyclosporin A and FKBP-FK506 complexes

    Jun Liu;Jesse D. Farmer;Willam S. Lane;Jeff Friedman

  • TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells

    Taiwen Li;Taiwen Li;Jingyu Fan;Binbin Wang;Nicole Traugh

  • Correction: Corrigendum: The Serum Profile of Hypercytokinemia Factors Identified in H7N9-Infected Patients can Predict Fatal Outcomes

    Jing Guo;Fengming Huang;Jun Liu;Yu Chen

  • ALKBH5 Is a Mammalian RNA Demethylase that Impacts RNA Metabolism and Mouse Fertility

    Guanqun Zheng;John Arne Dahl;Yamei Niu;Peter Fedorcsak

  • Sequential Monte Carlo methods for dynamic systems

    Jun S. Liu;Rong Chen

  • Genetics of rheumatoid arthritis contributes to biology and drug discovery

    Yukinori Okada;Yukinori Okada;Di Wu;Di Wu;Di Wu;Gosia Trynka;Gosia Trynka;Towfique Raj;Towfique Raj

  • Detecting Subtle Sequence Signals: A Gibbs Sampling Strategy for Multiple Alignment

    Charles E. Lawrence;Stephen F. Altschul;Mark S. Boguski;Jun S. Liu

  • MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens.

    Wei Li;Han Xu;Tengfei Xiao;Le Cong;Le Cong

  • Comprehensive analyses of tumor immunity: implications for cancer immunotherapy

    Bo Li;Eric Severson;Eric Severson;Jean Christophe Pignon;Haoquan Zhao

  • Sequential Imputations and Bayesian Missing Data Problems

    Augustine Kong;Jun S. Liu;Wing Hung Wong

  • BioProspector: discovering conserved DNA motifs in upstream regulatory regions of co-expressed genes.

    X. Liu;Douglas L. Brutlag;Jun S. Liu

  • Methylation of histone H3 Lys 4 in coding regions of active genes.

    Bradley E. Bernstein;Emily L. Humphrey;Rachel L. Erlich;Robert Schneider

  • Guillain-Barré syndrome associated with SARS-CoV-2 infection: causality or coincidence?

    Hua Zhao;Dingding Shen;Haiyan Zhou;Jun Liu

  • An algorithm for finding protein-DNA binding sites with applications to chromatin-immunoprecipitation microarray experiments.

    X. Shirley Liu;Douglas L. Brutlag;Jun S. Liu

  • The major facilitator superfamily.

    Saier Mh;Beatty Jt;Goffeau A;Harley Kt

  • The Genotype-Tissue Expression (GTEx) project

    John Lonsdale;Jeffrey Thomas;Mike Salvatore;Rebecca Phillips

Frequent Co-Authors

X. Shirley Liu
X. Shirley Liu Harvard University
Charles E. Lawrence
Charles E. Lawrence Brown University
Wing Hung Wong
Wing Hung Wong Stanford University
Zhaohui S. Qin
Zhaohui S. Qin Emory University
Myles Brown
Myles Brown Harvard University
Weida Tong
Weida Tong National Center for Toxicological Research
Xiang Qin
Xiang Qin Baylor College of Medicine
Jonathan K. Pritchard
Jonathan K. Pritchard Stanford University
Emmanouil T. Dermitzakis
Emmanouil T. Dermitzakis University of Geneva

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