Pengyi Yang

Orcid: 0000-0003-1098-3138

According to our database1, Pengyi Yang authored at least 39 papers between 2007 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Interpretable deep learning in single-cell omics.
CoRR, 2024

2023
Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing data.
Briefings Bioinform., May, 2023

2022
scFeatures: multi-view representations of single-cell and spatial data for disease outcome prediction.
Bioinform., October, 2022

Functional analysis of the stable phosphoproteome reveals cancer vulnerabilities.
Bioinform., 2022

2021
Uncovering cell identity through differential stability with Cepo.
Nat. Comput. Sci., 2021

Feature selection revisited in the single-cell era.
CoRR, 2021

2020
Ensemble deep learning in bioinformatics.
Nat. Mach. Intell., 2020

CiteFuse enables multi-modal analysis of CITE-seq data.
Bioinform., 2020

2019
Autoencoder-based cluster ensembles for single-cell RNA-seq data analysis.
BMC Bioinform., December, 2019

AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications.
IEEE Trans. Cybern., 2019

An Uncertainty Visual Analytics Framework for fMRI Functional Connectivity.
Neuroinformatics, 2019

scDC: single cell differential composition analysis.
BMC Bioinform., 2019

Impact of similarity metrics on single-cell RNA-seq data clustering.
Briefings Bioinform., 2019

New Parallel Algorithms for All Pairwise Computation on Large HPC Clusters.
Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019

2017
Integrative analysis identifies co-dependent gene expression regulation of BRG1 and CHD7 at distal regulatory sites in embryonic stem cells.
Bioinform., 2017

Positive unlabeled learning via wrapper-based adaptive sampling.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015.
BMC Bioinform., February, 2016

NoisyGOA: Noisy GO annotations prediction using taxonomic and semantic similarity.
Comput. Biol. Chem., 2016

Positive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics data.
Bioinform., 2016

2015
Knowledge-Based Analysis for Detecting Key Signaling Events from Time-Series Phosphoproteomics Data.
PLoS Comput. Biol., 2015

2014
Sample Subset Optimization Techniques for Imbalanced and Ensemble Learning Problems in Bioinformatics Applications.
IEEE Trans. Cybern., 2014

Direction pathway analysis of large-scale proteomics data reveals novel features of the insulin action pathway.
Bioinform., 2014

2013
Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012
Improving X!Tandem on Peptide Identification from Mass Spectrometry by Self-Boosted Percolator.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

OCAP: an open comprehensive analysis pipeline for iTRAQ.
Bioinform., 2012

2011
Gene-gene interaction filtering with ensemble of filters.
BMC Bioinform., 2011

Sample Subset Optimization for Classifying Imbalanced Biological Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

2010
A clustering based hybrid system for biomarker selection and sample classification of mass spectrometry data.
Neurocomputing, 2010

A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data.
BMC Bioinform., 2010

A genetic ensemble approach for gene-gene interaction identification.
BMC Bioinform., 2010

A dynamic wavelet-based algorithm for pre-processing tandem mass spectrometry data.
Bioinform., 2010

Genetic Algorithm-Based Multi-objective Optimisation for QoS-Aware Web Services Composition.
Proceedings of the Knowledge Science, 2010

2009
An Agent-Based Hybrid System for Microarray Data Analysis.
IEEE Intell. Syst., 2009

An Embedded Two-Layer Feature Selection Approach for Microarray Data Analysis.
IEEE Intell. Informatics Bull., 2009

Multiagent Framework for Bio-data Mining.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

2008
An Ensemble of Classifiers with Genetic Algorithm Based Feature Selection.
IEEE Intell. Informatics Bull., 2008

A Clustering Based Hybrid System for Mass Spectrometry Data Analysis.
Proceedings of the Pattern Recognition in Bioinformatics, 2008

A Hybrid Approach to Selecting Susceptible Single Nucleotide Polymorphisms for Complex Disease Analysis.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

2007
Hybrid Methods to Select Informative Gene Sets in Microarray Data Classification.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007


  Loading...