Mary Yang

According to our database1, Mary Yang authored at least 88 papers between 2003 and 2019.

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Bibliography

2019
Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory.
Neural Process. Lett., 2019

Feature space learning model.
J. Ambient Intell. Humaniz. Comput., 2019

Correction to: MISC: missing imputation for single-cell RNA sequencing data.
BMC Syst. Biol., 2019

Characterizing Mutually Exclusive Driver Mutations in Pan-Cancer.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Correction to: Dependability enhancing mechanisms for integrated clinical environments.
J. Supercomput., 2018

A Knowledge Base Completion Model Based on Path Feature Learning.
Int. J. Comput. Commun. Control, 2018

MISC: missing imputation for single-cell RNA sequencing data.
BMC Syst. Biol., 2018

Systems biology analysis reveals new insights into invasive lung cancer.
BMC Syst. Biol., 2018

The emerging role of microRNA-4487/6845-3p in Alzheimer's disease pathologies is induced by Aβ25-35 triggered in SH-SY5Y cell.
BMC Syst. Biol., 2018

A hotspots analysis-relation discovery representation model for revealing diabetes mellitus and obesity.
BMC Syst. Biol., 2018

Increased AURKA promotes cell proliferation and predicts poor prognosis in bladder cancer.
BMC Syst. Biol., 2018

Co-expression of long non-coding RNAs and autism risk genes in the developing human brain.
BMC Syst. Biol., 2018

Correction to: Identification and characterization of conserved lncRNAs in human and rat brain.
BMC Bioinform., 2018

2017
Dependability enhancing mechanisms for integrated clinical environments.
J. Supercomput., 2017

Identification and characterization of conserved lncRNAs in human and rat brain.
BMC Bioinform., 2017

Toward precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Invited talk: Developing deep multi-source intelligent learning that facilitates the advancement of single cell genomics research.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Comprehensive analysis of pulmonary adenocarcinoma in situ (AIS) revealed new insights into lung cancer progression.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Relation discovery and hotspots analysis on diabetes mellitus and obesity with representation model.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Protein-Protein Interaction Extraction Using Attention-Based Convolution Neural Networks.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
High-throughput state-machine replication using software transactional memory.
J. Supercomput., 2016

Byzantine fault tolerance for collaborative editing with commutative operations.
Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

Visualized analysis of incomplete TCM meridian conductance data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Prediction of the efficacy of Wuji Pills by machine learning methods.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Comparing of feature selection and classification methods on report-based subhealth data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

A hybrid iterative approach for microarray missing value estimation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
The upregulation of Myb and Peg3 may mediate EGCG inhibition effect on mouse lung adenocarcinoma.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Developing automated pipeline for identifying disease-related genomic variants.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Identification of genes and pathways involved in kidney renal clear cell carcinoma.
BMC Bioinform., 2014

Orthology-driven mapping of bidirectional promoters in human and mouse genomes.
BMC Bioinform., 2014

Advances in translational bioinformatics facilitate revealing the landscape of complex disease mechanisms.
BMC Bioinform., 2014

Developing discriminate model and comparative analysis of differentially expressed genes and pathways for bloodstream samples of diabetes mellitus type 2.
BMC Bioinform., 2014

A new statistical approach to combining p-values using gamma distribution and its application to genome-wide association study.
BMC Bioinform., 2014

2010
3D Protein structure prediction with genetic tabu search algorithm.
BMC Syst. Biol., 2010

BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features.
BMC Syst. Biol., 2010

Feature selection for semi-supervised multi-label learning with application to gene function analysis.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
Combining support vector regression with feature selection for multivariate calibration.
Neural Comput. Appl., 2009

An Enhanced Lipschitz Embedding Classifier for Multi-Emotion Speech Analysis.
Int. J. Pattern Recognit. Artif. Intell., 2009

Editorial review: engineering modelling and intelligent computing are synergistic in translational medicine research.
Int. J. Funct. Informatics Pers. Medicine, 2009

Irrelevant gene elimination for Partial Least Squares based Dimension Reduction by using feature probes.
Int. J. Data Min. Bioinform., 2009

Lecture notes: 2010 and beyond, the decade of high-performance computing for the next-generation sequence analysis.
Int. J. Comput. Biol. Drug Des., 2009

Promoting inter/multidisciplinary education and research in bioinformatics, systems biology and intelligent computing.
Int. J. Comput. Biol. Drug Des., 2009

The Impact of Supercomputing in the Next Generation Sequencing Data Mining.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2009

Next Generation Sequence Analysis Using Genetic Algorithms on Multi-core Technology.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

Redundant Gene Selection Based on Particle Swarm Optimization.
Proceedings of the International Joint Conferences on Bioinformatics, 2009

2008
Ensemble Voting System for Multiclass protein fold Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2008

A Personalized Traditional Chinese Medicine System in the case of Cai's gynecology.
Int. J. Funct. Informatics Pers. Medicine, 2008

Transforming medicine: functional informatics, drug design, and personalised healthcare.
Int. J. Funct. Informatics Pers. Medicine, 2008

Feature selection for gene function prediction using multi-labelled lazy learning.
Int. J. Funct. Informatics Pers. Medicine, 2008

New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data.
Int. J. Funct. Informatics Pers. Medicine, 2008

Functional informatics and personalised medicine are key synergistic components of translational medicine.
Int. J. Funct. Informatics Pers. Medicine, 2008

Identification of Intrinsically Unstructured Proteins using hierarchical classifier.
Int. J. Data Min. Bioinform., 2008

Feature selection for the imbalanced QSAR problems by using EasyEnsemble.
Int. J. Comput. Biol. Drug Des., 2008

Improving prediction accuracy of drug activities by utilising unlabelled instances with feature selection.
Int. J. Comput. Biol. Drug Des., 2008

2009 and beyond: the decade of personalised medicine.
Int. J. Comput. Biol. Drug Des., 2008

Dimension reduction with redundant gene elimination for tumor classification.
BMC Bioinform., 2008

Comparative analyses of bidirectional promoters in vertebrates.
BMC Bioinform., 2008

Asymmetric bagging and feature selection for activities prediction of drug molecules.
BMC Bioinform., 2008

Preface.
Appl. Artif. Intell., 2008

High Performance Computing and Computational Intelligence: Link to the Translational Medicine and Personalized Healthcare - Banquet Keynote Lecture.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2008

A Novel Metric for Redundant Gene Elimination Based on Discriminative Contribution.
Proceedings of the Bioinformatics Research and Applications, 2008

Abnormal Traffic Detection in VoIP by Using Machine Learning Approaches.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008

Word-Based Characterization of the Bidirectional Promoters from the Human DNA-Repair Pathway.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

2007
Comprehensive Annotation of Bidirectional Promoters Identifies Co-Regulation among Breast and Ovarian Cancer Genes.
PLoS Comput. Biol., 2007

Classification of proteins multiple-labelled and single-labelled with protein functional classes.
Int. J. Gen. Syst., 2007

Invited Talk: A Computational Study of Bidirectional Promoters in the Human Genome.
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007

Rigorous Mapping of Orthologous Bidirectional Promoters in Vertebrates Defines their Evolutionary History.
Proceedings of the Proceeding of the Second International Multi-Symposium of Computer and Computational Sciences (IMSCCS 2007), 2007

Asymmetric Bagging and Feature Selection for Activities Prediction of Drug Molecules.
Proceedings of the Proceeding of the Second International Multi-Symposium of Computer and Computational Sciences (IMSCCS 2007), 2007

Feature Selection for Co-Training: A QSAR Study.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

Predicting Tumor Malignancies using Combined Computational Intelligence, Bioinformatics and Laboratory Molecular Biology Approaches.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

The 2007 World Congress in Computer Science, Computer Engineering, and Applied Computing Invited Banquet Keynote Lecture: Using Bioinformatics and Machine Learning to Predict Potential Malignancies.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

Classification of Brain Glioma by Using Neural Networks Ensemble with Multi-Task Learning.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

Orthology and Multiple Class Prediction of Functional Elements in the Human Genome.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Non-Monotonic Radio-Sensitivity over Tumor Volumes on Adjuvant Radio Therapy A New Insight on Cell Killing and Modeling.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

An Overview of Bidirectional Promoters.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Promoter studies in the human genome: one perspective on an unfinished story.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

An Effective Interwoven Loop Design Application for Two-Channel Microarray Experiments.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Partial Least Squares Based Dimension Reduction with Gene Selection for Tumor Classification.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Support Vector Regression with Feature Selection for the Multivariate Calibration of Spectrofluorimetric Determination of Aromatic Amino Acids.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Ensemble of Probabilistic Neural Networks for Protein Fold Recognition.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Feature Selection and Partial Least Squares Based Dimension Reduction for Tumor Classification.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Learning from Sequences with Determining Correlation between Transmembrane and Protein Disorder.
Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, 2006

Identification of Intrinsically Unstructured Regions in Proteins Using Primary Structure.
Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, 2006

Assessing protein function using a combination of supervised and unsupervised learning.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006

IUP: Intrinsically Unstructured Protein predictor - A software tool for analyzing polypeptide sequences.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006

2005
Sequential bifurcation Approach to Learning protein Functional Classes.
Proceedings of the Advances in Bioinformatics and Its Applications, 2005

2003
Exploring Protein Functional Relationships Using Genomic Information and Data Mining Techniques.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003


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