Chi Zhang

Orcid: 0000-0001-9553-0925

Affiliations:
  • Indiana University School of Medicine, Indianapolis, IN, USA
  • University of Georgia, Institute of Bioinformatics, Athens, GA, USA (PhD 2015)


According to our database1, Chi Zhang authored at least 31 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
FLUXestimator: a webserver for predicting metabolic flux and variations using transcriptomics data.
Nucleic Acids Res., July, 2023

<i>Special Issue</i> Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC) Workshop (2022).
J. Comput. Biol., July, 2023

Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning.
PLoS Comput. Biol., 2022

Response to 'Letter to the Editor: on the stability and internal consistency of component-wise sparse mixture regression based clustering', Zhang <i>et al.</i>.
Briefings Bioinform., 2022

Bias aware probabilistic Boolean matrix factorization.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks.
CoRR, 2021

IRIS-FGM: an integrative single-cell RNA-Seq interpretation system for functional gene module analysis.
Bioinform., 2021

Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Corrections to "IsoTree: A New Framework for de novo Transcriptome Assembly from RNA-seq Reads".
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

IsoTree: A New Framework for de novo Transcriptome Assembly from RNA-seq Reads.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq.
Nucleic Acids Res., 2020

Denoising individual bias for a fairer binary submatrix detection.
CoRR, 2020

Supervised clustering of high dimensional data using regularized mixture modeling.
CoRR, 2020

A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression.
CoRR, 2020

QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data.
Bioinform., 2020

Geometric All-way Boolean Tensor Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Denoising Individual Bias for Fairer Binary Submatrix Detection.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

A data denoising approach to optimize functional clustering of single cell RNA-sequencing data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Robust tests for gene-environment interaction in case-control and case-only designs.
Comput. Stat. Data Anal., 2019

MEBF: a fast and efficient Boolean matrix factorization method.
CoRR, 2019

DTA-SiST: de novo transcriptome assembly by using simplified suffix trees.
BMC Bioinform., 2019

M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing data.
BMC Bioinform., 2019

2018
MRHCA: a nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network.
Quant. Biol., 2018

DTAST: A Novel Radical Framework for de Novo Transcriptome Assembly Based on Suffix Trees.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
QUBIC: a bioconductor package for qualitative biclustering analysis of gene co-expression data.
Bioinform., 2017

IsoTree: De Novo Transcriptome Assembly from RNA-Seq Reads - (Extended Abstract).
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

2016
PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015
Stresses drive a cancer's initiation, progression and metastasis: Critical comments on the book "Cancer Bioinformatics".
J. Bioinform. Comput. Biol., 2015

2014
Population dynamics inside cancer biomass driven by repeated hypoxia-reoxygenation cycles.
Quant. Biol., 2014


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