Wennan Chang

Wennan Chang

Purdue University

H-index: 10

North America-United States

About Wennan Chang

Wennan Chang, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Bioinformatics, Machine Learning, Computational Biology, Algorithms.

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

Pipeline for characterizing alternative mechanisms (PCAM) based on bi-clustering to study colorectal cancer heterogeneity

Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation

FLUXestimator: a webserver for predicting metabolic flux and variations using transcriptomics data

Single cell cortical bone transcriptomics define novel osteolineage gene sets altered in chronic kidney disease

Physioxia-induced downregulation of Tet2 in hematopoietic stem cells contributes to enhanced self-renewal

Response to ‘Letter to the Editor: on the stability and internal consistency of component-wise sparse mixture regression based clustering’, Zhang et al.

Acid-base homeostasis and implications to the phenotypic behaviors of cancer

scFLUX: a web server for metabolic flux and variation prediction using transcriptomics data

Wennan Chang Information

University

Position

PhD Student at ECE Department

Citations(all)

426

Citations(since 2020)

383

Cited By

159

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Wennan Chang Skills & Research Interests

Bioinformatics

Machine Learning

Computational Biology

Algorithms

Top articles of Wennan Chang

Pipeline for characterizing alternative mechanisms (PCAM) based on bi-clustering to study colorectal cancer heterogeneity

Computational and Structural Biotechnology Journal

2023/1/1

Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation

2023/8/6

FLUXestimator: a webserver for predicting metabolic flux and variations using transcriptomics data

Nucleic Acids Research

2023/7/5

Single cell cortical bone transcriptomics define novel osteolineage gene sets altered in chronic kidney disease

2023

Physioxia-induced downregulation of Tet2 in hematopoietic stem cells contributes to enhanced self-renewal

Blood, The Journal of the American Society of Hematology

2022/9/15

Chi Zhang
Chi Zhang

H-Index: 2

Wennan Chang
Wennan Chang

H-Index: 6

Response to ‘Letter to the Editor: on the stability and internal consistency of component-wise sparse mixture regression based clustering’, Zhang et al.

Briefings in Bioinformatics

2022/7/18

Acid-base homeostasis and implications to the phenotypic behaviors of cancer

Genomics, Proteomics & Bioinformatics

2022/7/1

scFLUX: a web server for metabolic flux and variation prediction using transcriptomics data

bioRxiv

2022/6/20

PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning

PLoS computational biology

2022/3/29

AI-powered systems biology models to study human disease

2022

Wennan Chang
Wennan Chang

H-Index: 6

Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence

ICDM 2021 arXiv:2109.00539

2021/9/1

SSMD: a semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data

Briefings in Bioinformatics

2020/1/1

Supervised clustering of high-dimensional data using regularized mixture modeling

Briefings in Bioinformatics

2020/7/19

A data denoising approach to optimize functional clustering of single cell RNA-sequencing data

2020/12/16

Modulation of immune infiltration of ovarian cancer tumor microenvironment by specific subpopulations of fibroblasts

Cancers

2020/10/29

Denoising individual bias for fairer binary submatrix detection

2020/10/19

RETHINKING LOCAL LOW RANK MATRIX DETECTION: A MULTIPLE-FILTER BASED NEURAL NETWORK FRAMEWORK

2020/10/2

An integrated web server for multi-omics data deconvolution

Cancer Research

2020/8/15

RobMixReg: an R package for robust, flexible and high dimensional mixture regression

bioRxiv

2020/8/4

Component-wise Adaptive Trimming For Robust Mixture Regression

arXiv preprint arXiv:2005.11599

2020/5/23

See List of Professors in Wennan Chang University(Purdue University)

Co-Authors

academic-engine