Fengzhu Sun

Fengzhu Sun

University of Southern California

H-index: 61

North America-United States

About Fengzhu Sun

Fengzhu Sun, With an exceptional h-index of 61 and a recent h-index of 37 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Computational Biology, Bioinformatics, statistical genetics, mathematical modelling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Comparison of the effectiveness of different normalization methods for metagenomic cross-study phenotype prediction under heterogeneity

Effective binning of metagenomic contigs using contrastive multi-view representation learning

MetaCC allows scalable and integrative analyses of both long-read and short-read metagenomic Hi-C data

ViralCC retrieves complete viral genomes and virus-host pairs from metagenomic Hi-C data

GUT METABOLOMIC PROFILES IN PEDIATRIC ULCERATIVE COLITIS PATIENTS PRIOR TO AND AFTER RECEIVING FECAL MICROBIOTA TRANSPLANTS

MetaBinner: a high-performance and stand-alone ensemble binning method to recover individual genomes from complex microbial communities

Identifying local associations in biological time series: algorithms, statistical significance, and applications

Batch normalization followed by merging is powerful for phenotype prediction integrating multiple heterogeneous studies

Fengzhu Sun Information

University

Position

___

Citations(all)

14255

Citations(since 2020)

5652

Cited By

10780

hIndex(all)

61

hIndex(since 2020)

37

i10Index(all)

139

i10Index(since 2020)

89

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

Fengzhu Sun Skills & Research Interests

Computational Biology

Bioinformatics

statistical genetics

mathematical modelling

Top articles of Fengzhu Sun

Title

Journal

Author(s)

Publication Date

Comparison of the effectiveness of different normalization methods for metagenomic cross-study phenotype prediction under heterogeneity

Scientific Reports

Beibei Wang

Fengzhu Sun

Yihui Luan

2024/3/25

Effective binning of metagenomic contigs using contrastive multi-view representation learning

Nature Communications

Ziye Wang

Ronghui You

Haitao Han

Wei Liu

Fengzhu Sun

...

2024/1/17

MetaCC allows scalable and integrative analyses of both long-read and short-read metagenomic Hi-C data

Nature Communications

Yuxuan Du

Fengzhu Sun

2023/10/6

ViralCC retrieves complete viral genomes and virus-host pairs from metagenomic Hi-C data

Nature Communications

Yuxuan Du

Jed A Fuhrman

Fengzhu Sun

2023/1/31

GUT METABOLOMIC PROFILES IN PEDIATRIC ULCERATIVE COLITIS PATIENTS PRIOR TO AND AFTER RECEIVING FECAL MICROBIOTA TRANSPLANTS

Gut Microbiome

Parastou S Khalessi Hosseini

Beibei Wang

Yihui Luan

Fengzhu Sun

Sonia Michail

2023/1

MetaBinner: a high-performance and stand-alone ensemble binning method to recover individual genomes from complex microbial communities

Genome Biology

Ziye Wang

Pingqin Huang

Ronghui You

Fengzhu Sun

Shanfeng Zhu

2023/1/6

Identifying local associations in biological time series: algorithms, statistical significance, and applications

Dongmei Ai

Lulu Chen

Jiemin Xie

Longwei Cheng

Fang Zhang

...

2023/11/1

Batch normalization followed by merging is powerful for phenotype prediction integrating multiple heterogeneous studies

PLOS Computational Biology

Yilin Gao

Fengzhu Sun

2023/10/16

A Model-based Approach to Assess Reproducibility for Large-scale High-throughput MRI-based Studies

NeuroImage

Zeyu Jiao

Yinglei Lai

Jujiao Kang

Weikang Gong

Liang Ma

...

2022/7/15

HiFine: integrating Hi-c-based and shotgun-based methods to reFine binning of metagenomic contigs

Bioinformatics

Yuxuan Du

Fengzhu Sun

2022/4/28

Cost-effective methylome sequencing of cell-free DNA for accurately detecting and locating cancer

Nature communications

Mary L Stackpole

Weihua Zeng

Shuo Li

Chun-Chi Liu

Yonggang Zhou

...

2022/9/29

HiCBin: Binning metagenomic contigs and recovering metagenome-assembled genomes using Hi-C contact maps

Genome Biology

Yuxuan Du

Fengzhu Sun

2022/2/28

A New Context Tree Inference Algorithm for Variable Length Markov Chain Model with Applications to Biological Sequence Analyses

Journal of Computational Biology

Shaokun An

Jie Ren

Fengzhu Sun

Lin Wan

2022/4/22

AC-PCoA: Adjustment for confounding factors using principal coordinate analysis

PLOS Computational Biology

Yu Wang

Fengzhu Sun

Wei Lin

Shuqin Zhang

2022/7/13

HiCzin: Normalizing metagenomic Hi-C data and detecting spurious contacts using zero-inflated negative binomial regression

bioRxiv

Yuxuan Du

Sarah M Laperriere

Jed Fuhrman

Fengzhu Sun

2021/3/2

16S rRNA and metagenomic shotgun sequencing data revealed consistent patterns of gut microbiome signature in pediatric ulcerative colitis

Scientific Reports

Wenxuan Zuo

Beibei Wang

Xin Bai

Yihui Luan

Yingying Fan

...

2022/4/19

Phage–bacterial contig association prediction with a convolutional neural network

Bioinformatics

Tianqi Tang

Shengwei Hou

Jed A Fuhrman

Fengzhu Sun

2022/7/1

Metagenomic Analyses of Multiple Gut Datasets Revealed the Association of Phage Signatures in Colorectal Cancer

Frontiers in Cellular and Infection Microbiology

Wenxuan Zuo

Sonia Michail

Fengzhu Sun

2022

MLR-OOD: a Markov chain based Likelihood Ratio method for Out-Of-Distribution detection of genomic sequences

Journal of molecular biology

Xin Bai

Jie Ren

Fengzhu Sun

2022/8/15

Michael Waterman's Contributions to Computational Biology and Bioinformatics

Journal of Computational Biology

Pavel Pevzner

Martin Vingron

Christian Reidys

Fengzhu Sun

Sorin Istrail

2022/6/21

See List of Professors in Fengzhu Sun University(University of Southern California)

Co-Authors

H-index: 112
Hongyu Zhao

Hongyu Zhao

Yale University

H-index: 111
Jed  A. Fuhrman

Jed A. Fuhrman

University of Southern California

H-index: 89
Ting Chen

Ting Chen

Tsinghua University

H-index: 45
Rui Jiang

Rui Jiang

Tsinghua University

H-index: 35
Kui Zhang

Kui Zhang

Michigan Technological University

H-index: 34
Gesine Reinert

Gesine Reinert

University of Oxford

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