Pengfei Liang

Pengfei Liang

Inner Mongolia University

H-index: 7

Asia-China

About Pengfei Liang

Pengfei Liang, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Inner Mongolia University, specializes in the field of Bioinformatics, Machine Learning, Computational Biology.

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

Chromatin region binning of gene expression for improving embryo cell subtype identification

An increment of diversity method for cell state trajectory inference of time-series scRNA-seq data

Integrated analysis of ovarian cancer patients from prospective transcription factor activity reveals subtypes of prognostic significance

A computational framework of routine test data for the cost-effective chronic disease prediction

A cost-effective machine learning-based method for preeclampsia risk assessment and driver genes discovery

EmAtlas: a comprehensive atlas for exploring spatiotemporal activation in mammalian embryogenesis

Deciphering the decisive factors driving fate bifurcations in somatic cell reprogramming

Prognostic and predictive value of a metabolic risk score model in breast cancer: an immunogenomic landscape analysis

Pengfei Liang Information

University

Position

___

Citations(all)

172

Citations(since 2020)

172

Cited By

36

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Inner Mongolia University

Google Scholar

View Google Scholar Profile

Pengfei Liang Skills & Research Interests

Bioinformatics

Machine Learning

Computational Biology

Top articles of Pengfei Liang

Title

Journal

Author(s)

Publication Date

Chromatin region binning of gene expression for improving embryo cell subtype identification

Computers in Biology and Medicine

Pengfei Liang

Hanshuang Li

Chunshen Long

Mingzhu Liu

Jian Zhou

...

2024/3/1

An increment of diversity method for cell state trajectory inference of time-series scRNA-seq data

Fundamental Research

Yan Hong

Hanshuang Li

Chunshen Long

Pengfei Liang

Jian Zhou

...

2024/2/9

Integrated analysis of ovarian cancer patients from prospective transcription factor activity reveals subtypes of prognostic significance

Heliyon

Dongqing Su

Yuqiang Xiong

Haodong Wei

Shiyuan Wang

Jiawei Ke

...

2023/5/1

A computational framework of routine test data for the cost-effective chronic disease prediction

Briefings in Bioinformatics

Mingzhu Liu

Jian Zhou

Qilemuge Xi

Yuchao Liang

Haicheng Li

...

2023/3

A cost-effective machine learning-based method for preeclampsia risk assessment and driver genes discovery

Cell & bioscience

Hao Wang

Zhaoyue Zhang

Haicheng Li

Jinzhao Li

Hanshuang Li

...

2023/2/28

EmAtlas: a comprehensive atlas for exploring spatiotemporal activation in mammalian embryogenesis

Nucleic acids research

Lei Zheng

Pengfei Liang

Chunshen Long

Haicheng Li

Hanshuang Li

...

2023/1/6

Deciphering the decisive factors driving fate bifurcations in somatic cell reprogramming

Molecular Therapy-Nucleic Acids

Chunshen Long

Hanshuang Li

Pengfei Liang

Lemuge Chao

Yan Hong

...

2023/12/12

Prognostic and predictive value of a metabolic risk score model in breast cancer: an immunogenomic landscape analysis

Briefings in Functional Genomics

Dongqing Su

Shiyuan Wang

Qilemuge Xi

Lin Lin

Qianzi Lu

...

2022/3

iProbiotics: a machine learning platform for rapid identification of probiotic properties from whole-genome primary sequences

Briefings in Bioinformatics

Yu Sun

Haicheng Li

Lei Zheng

Jinzhao Li

Yan Hong

...

2022/1

Feature-scML: an open-source Python package for the feature importance visualization of single-cell omics with machine learning

Current Bioinformatics

Pengfei Liang

Hao Wang

Yuchao Liang

Jian Zhou

Haicheng Li

...

2022/8/1

Dppa2/4 as a trigger of signaling pathways to promote zygote genome activation by binding to CG-rich region

Briefings in bioinformatics

Hanshuang Li

Chunshen Long

Jinzhu Xiang

Pengfei Liang

Xueling Li

...

2021/7

IHEC_RAAC: a online platform for identifying human enzyme classes via reduced amino acid cluster strategy

Amino Acids

Hao Wang

Qilemuge Xi

Pengfei Liang

Lei Zheng

Yan Hong

...

2021/2

HelPredictor models single-cell transcriptome to predict human embryo lineage allocation

Briefings in Bioinformatics

Pengfei Liang

Lei Zheng

Chunshen Long

Wuritu Yang

Lei Yang

...

2021/11

eHSCPr discriminating the cell identity involved in endothelial to hematopoietic transition

Bioinformatics

Hao Wang

Pengfei Liang

Lei Zheng

ChunShen Long

HanShuang Li

...

2021/8/1

Identification of disease-related 2-oxoglutarate/Fe (II)-dependent oxygenase based on reduced amino acid cluster strategy

Frontiers in Cell and Developmental Biology

Jian Zhou

Suling Bo

Hao Wang

Lei Zheng

Pengfei Liang

...

2021/7/16

ICTC-RAAC: An improved web predictor for identifying the types of ion channel-targeted conotoxins by using reduced amino acid cluster descriptors

Computational Biology and Chemistry

Zijie Sun

Shenghui Huang

Lei Zheng

Pengfei Liang

Wuritu Yang

...

2020/12/1

Machine learning of single-cell transcriptome highly identifies mRNA signature by comparing F-score selection with DGE analysis

Molecular Therapy-Nucleic Acids

Pengfei Liang

Wuritu Yang

Xing Chen

Chunshen Long

Lei Zheng

...

2020/6/5

See List of Professors in Pengfei Liang University(Inner Mongolia University)