Yidong Chen

Affiliations:
  • University of Texas Health Science Center at San Antonio, Department of Epidemiology and Biostatistics, TX, USA
  • National Institutes of Health, Cancer Genetic Branch, Bethesda, MD, USA (former)
  • Rochester Institute of Technology, NY, USA (PhD)


According to our database1, Yidong Chen authored at least 87 papers between 1992 and 2024.

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

Timeline

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Bibliography

2024
shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning.
Patterns, 2024

Predicting drug response through tumor deconvolution by cancer cell lines.
Patterns, 2024

2022
On the role of deep learning model complexity in adversarial robustness for medical images.
BMC Medical Informatics Decis. Mak., 2022

Deep learning tackles single-cell analysis - a survey of deep learning for scRNA-seq analysis.
Briefings Bioinform., 2022

2021
CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training.
BMC Bioinform., 2021

2020
Deep learning of pharmacogenomics resources: moving towards precision oncology.
Briefings Bioinform., 2020

2019
Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods.
PLoS Comput. Biol., 2019

Convolutional neural network models for cancer type prediction based on gene expression.
CoRR, 2019

2018
MeTDiff: A Novel Differential RNA Methylation Analysis for MeRIP-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Analyzing Differential Regulatory Networks Modulated by Continuous-State Genomic Features in Glioblastoma Multiforme.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization.
CoRR, 2018

Predicting drug response of tumors from integrated genomic profiles by deep neural networks.
CoRR, 2018

A Machine Learning Approach for Uncovering N6-methyladenosine-Disease Association.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Cancer Progression Prediction Using Gene Interaction Regularized Elastic Net.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Computational tools for genome-wide R-loops identification and characterisation.
Int. J. Comput. Biol. Drug Des., 2017

XBSeq2: a fast and accurate quantification of differential expression and differential polyadenylation.
BMC Bioinform., 2017

Differential correlation analysis of glioblastoma reveals immune ceRNA interactions predictive of patient survival.
BMC Bioinform., 2017

2016
A simple gene set-based method accurately predicts the synergy of drug pairs.
BMC Syst. Biol., 2016

A novel algorithm for calling mRNA m<sup>6</sup>A peaks by modeling biological variances in MeRIP-seq data.
Bioinform., 2016

2015
MeT-DB: a database of transcriptome methylation in mammalian cells.
Nucleic Acids Res., 2015

Patho-finder - A fast and accurate program for pathogen identification through RNA-seq.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Model-based and context-specific background correction and differential methylation testing for MBDCap-seq.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Analyzing differential regulatory networks modulated by continuous-state genomic features in glioblastoma multiforme.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Selected Articles from the 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2012).
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

BIMMER: a novel algorithm for detecting differential DNA methylation regions from MBDCap-seq data.
BMC Bioinform., 2014

A novel significance score for gene selection and ranking.
Bioinform., 2014

Detecting differentially methylated mRNA from MeRIP-Seq with likelihood ratio test.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Estimating Conditional Probabilities for the Detection of Unfavorable Copy Number Alterations in a Targeted Therapy.
IEEE Trans. Biomed. Eng., 2013

Identification of genomic functional hotspots with copy number alteration in liver cancer.
EURASIP J. Bioinform. Syst. Biol., 2013

BRCA-Monet: a breast cancer specific drug treatment mode-of-action network for treatment effective prediction using large scale microarray database.
BMC Syst. Biol., 2013

Exome-based analysis for RNA epigenome sequencing data.
Bioinform., 2013

Gene Regulation, Modulation, and Their Applications in Gene Expression Data Analysis.
Adv. Bioinformatics, 2013

Differential analysis of rna methylation sequencing data.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

NetceRNA: An algorithm for construction of phenotype-specific regulation networks via competing endogenous RNAs.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

An HMM-based Exome Peak-finding package for RNA epigenome sequencing data.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

Characterization of conditions for competing endogenous RNA regulation in GBM.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

Integration of gene expression, genome wide DNA methylation, and gene networks for clinical outcome prediction in ovarian cancer.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Unveiling the dynamics in RNA epigenetic regulations.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

BIMMER: A Bi-layer hidden Markov model for differential methylation analysis.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Modeling competing endogenous RNA regulatory networks in glioblastoma multiforme.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Evaluating Dynamic Effects of Copy Number Alterations on Gene Expression Using a Single Transcription Model.
IEEE Trans. Biomed. Eng., 2012

Stochastic Modeling of the Relationship between Copy Number and Gene Expression Based on Transcriptional Logic.
IEEE Trans. Biomed. Eng., 2012

Temporal clustering of gene expression patterns using short-time segments.
Int. J. Funct. Informatics Pers. Medicine, 2012

An investigation of clinical outcome prediction from integrative genomic profiles in ovarian cancer.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

Identification of functional genomic regions with copy number alteration in liver cancer.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

Using gene sets to identify putative drugs for breast cancer.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Uncover cooperative gene regulations by microRNAs and transcription factors in glioblastoma using a nonnegative hybrid factor model.
Proceedings of the IEEE International Conference on Acoustics, 2011

Identifying genes associated with chemotherapy response in ovarian carcinomas based on DNA copy number and expression profiles.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Stochastic modeling of dynamic effects of copy number alterations upon gene expression levels.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Multisource biological pathway consolidation.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

S-score: A novel scoring method of gene signatures for molecular classification.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Comprehensive investigation of connectivity map data-towards a drug mode of action network for personalized thnerapy.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Gene sets enrichment analysis of miRNA expression profile.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
Uncovering Transcriptional Regulatory Networks by Sparse Bayesian Factor Model.
EURASIP J. Adv. Signal Process., 2010

Improving performance of mammalian microRNA target prediction.
BMC Bioinform., 2010

SysMicrO: A Novel Systems Approach for miRNA Target Prediction.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010

An iterated conditional mode solution for Bayesian factor modeling of transcriptional regulatory networks.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010

Computational prediction of MicroRNA regulatory pathways.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

An Iterated Conditional Modes solution for sparse Bayesian factor modeling of transcriptional regulatory networks.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

A computational framework for predicting drug Mode-of-Action.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

A Bayesian decision fusion approach for microRNA target prediction.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

Constructing a compound mode-of-action network for personalized drug effectiveness prediction.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
Mapping miRNA Regulation to Functional Gene Sets.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

A comprehensive study of a SVM-based miRNA target prediction algorithm.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

2008
GEOmetadb: powerful alternative search engine for the Gene Expression Omnibus.
Bioinform., 2008

A probe-density-based analysis method for array CGH data: simulation, normalization and centralization.
Bioinform., 2008

2006
Normalization Benefits Microarray-Based Classification.
EURASIP J. Bioinform. Syst. Biol., 2006

2005
Optimal robust classifiers.
Pattern Recognit., 2005

2004
The Local Maximum Clustering Method and Its Application in Microarray Gene Expression Data Analysis.
EURASIP J. Adv. Signal Process., 2004

Editorial.
EURASIP J. Adv. Signal Process., 2004

Which is better for cDNA-microarray-based classification: ratios or direct intensities.
Bioinform., 2004

Are We There Yet? Genomic Profiling and Mechanism in Cancer Research.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2002
Strong Feature Sets from Small Samples.
J. Comput. Biol., 2002

Inference from Clustering with Application to Gene-Expression Microarrays.
J. Comput. Biol., 2002

Assessing the significance of consistently mis-regulated genes in cancer associated gene expression matrices.
Bioinform., 2002

Ratio statistics of gene expression levels and applications to microarray data analysis.
Bioinform., 2002

E-CAST: A Data Mining Algorithm for Gene Expression Data.
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2002), 2002

2001
Robust optimal granulometric bandpass filters.
Signal Process., 2001

2000
Coefficient of determination in nonlinear signal processing.
Signal Process., 2000

1999
Markovian Analysis of Adaptive Reconstructive Multiparameter tau-Openings.
J. Math. Imaging Vis., 1999

Nonlinear filters in genomic control.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999

1997
Optimal and adaptive reconstructive granulometric bandpass filters.
Signal Process., 1997

1996
Bayesian morphological peak estimation and its application to chromosome counting via fluorescence In <i>situ</i> hybridization.
Pattern Recognit., 1996

Adaptive reconstructive tau-openings: convergence and the steady-state distribution.
J. Electronic Imaging, 1996

Optimal and Adaptive Design of Reconstructive Granulometric Filters.
Proceedings of the 3th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, 1996

1994
Adaptive Parameterized Openings.
Proceedings of the 2nd International Symposium on Mathematical Morphology and Its Applications to Image Processing, 1994

1992
Estimation of optimal morphological τ-opening parameters based on independent observation of signal and noise pattern spectra.
Signal Process., 1992


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