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2020 – today
- 2024
[i2]Manoj M. Wagle, Siqu Long, Carissa Chen, Chunlei Liu, Pengyi Yang:
Interpretable deep learning in single-cell omics. CoRR abs/2401.06823 (2024)- 2023
- [j28]Yue Cao
, Shila Ghazanfar, Pengyi Yang, Jean Y. H. Yang:
Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing data. Briefings Bioinform. 24(3) (2023) - 2022
- [j27]Di Xiao, Hani Jieun Kim, Ignatius Pang, Pengyi Yang:
Functional analysis of the stable phosphoproteome reveals cancer vulnerabilities. Bioinform. 38(7): 1956-1963 (2022) - [j26]Yue Cao, Yingxin Lin, Ellis Patrick, Pengyi Yang, Jean Yee Hwa Yang:
scFeatures: multi-view representations of single-cell and spatial data for disease outcome prediction. Bioinform. 38(20): 4745-4753 (2022) - 2021
- [j25]Hani Jieun Kim, Kevin Y. X. Wang, Carissa Chen, Yingxin Lin, Patrick P. L. Tam, David M. Lin, Jean Y. H. Yang, Pengyi Yang:
Uncovering cell identity through differential stability with Cepo. Nat. Comput. Sci. 1(12): 784-790 (2021) - [i1]Pengyi Yang, Hao Huang, Chunlei Liu:
Feature selection revisited in the single-cell era. CoRR abs/2110.14329 (2021) - 2020
- [j24]Hani Jieun Kim, Yingxin Lin, Thomas Andrew Geddes, Jean Yee Hwa Yang, Pengyi Yang:
CiteFuse enables multi-modal analysis of CITE-seq data. Bioinform. 36(14): 4137-4143 (2020) - [j23]Yue Cao, Thomas Andrew Geddes, Jean Yee Hwa Yang, Pengyi Yang:
Ensemble deep learning in bioinformatics. Nat. Mach. Intell. 2(9): 500-508 (2020)
2010 – 2019
- 2019
- [j22]Taiyun Kim, Irene Rui Chen, Yingxin Lin, Andy Yi-Yang Wang, Jean Yee Hwa Yang, Pengyi Yang:
Impact of similarity metrics on single-cell RNA-seq data clustering. Briefings Bioinform. 20(6): 2316-2326 (2019) - [j21]Thomas Andrew Geddes, Taiyun Kim, Lihao Nan, James G. Burchfield, Jean Yee Hwa Yang, Dacheng Tao, Pengyi Yang:
Autoencoder-based cluster ensembles for single-cell RNA-seq data analysis. BMC Bioinform. 20-S(19): 660 (2019) - [j20]Yue Cao, Yingxin Lin, John T. Ormerod, Pengyi Yang, Jean Yee Hwa Yang, Kitty K. Lo:
scDC: single cell differential composition analysis. BMC Bioinform. 20-S(19): 721 (2019) - [j19]Michael de Ridder, Karsten Klein, Jean Yee Hwa Yang, Pengyi Yang, Jim Lagopoulos, Ian B. Hickie, Max Bennett, Jinman Kim:
An Uncertainty Visual Analytics Framework for fMRI Functional Connectivity. Neuroinformatics 17(2): 211-223 (2019) - [j18]Pengyi Yang, John T. Ormerod, Wei Liu, Chendong Ma, Albert Y. Zomaya, Jean Yee Hwa Yang:
AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications. IEEE Trans. Cybern. 49(5): 1932-1943 (2019) - [c9]Tao Tang, Hao Wu, Wei Bao, Pengyi Yang, Dong Yuan, Bing Bing Zhou:
New Parallel Algorithms for All Pairwise Computation on Large HPC Clusters. PDCAT 2019: 196-201 - 2017
- [j17]Pengyi Yang, Andrew J. Oldfield, Taiyun Kim, Andrian Yang, Jean Yee Hwa Yang, Joshua Wing Kei Ho:
Integrative analysis identifies co-dependent gene expression regulation of BRG1 and CHD7 at distal regulatory sites in embryonic stem cells. Bioinform. 33(13): 1916-1920 (2017) - [c8]Pengyi Yang, Wei Liu, Jean Yee Hwa Yang:
Positive unlabeled learning via wrapper-based adaptive sampling. IJCAI 2017: 3273-3279 - 2016
- [j16]Pengyi Yang, Sean J. Humphrey, David E. James, Yee Hwa Yang, Raja Jothi:
Positive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics data. Bioinform. 32(2): 252-259 (2016) - [j15]Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob B. Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan F. DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman, Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau, Nagarajan Raju, Sonia P. Chothani, C. Ramakrishnan, Masakazu Sekijima, M. Michael Gromiha, Paddy J. Slator, Nigel J. Burroughs, Przemyslaw Szalaj, Zhonghui Tang, Paul J. Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski, Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens, Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic:
Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015. BMC Bioinform. 17(S-3) (2016) - [j14]Chang Lu, Jun Wang, Zili Zhang, Pengyi Yang, Guo-Xian Yu:
NoisyGOA: Noisy GO annotations prediction using taxonomic and semantic similarity. Comput. Biol. Chem. 65: 203-211 (2016) - 2015
- [j13]Pengyi Yang, Xiaofeng Zheng, Vivek Jayaswal, Guang Hu, Jean Yee Hwa Yang, Raja Jothi:
Knowledge-Based Analysis for Detecting Key Signaling Events from Time-Series Phosphoproteomics Data. PLoS Comput. Biol. 11(8) (2015) - 2014
- [j12]Pengyi Yang, Ellis Patrick, Shi-Xiong Tan, Daniel J. Fazakerley, James G. Burchfield, Christopher Gribben, Matthew J. Prior, David E. James, Yee Hwa Yang:
Direction pathway analysis of large-scale proteomics data reveals novel features of the insulin action pathway. Bioinform. 30(6): 808-814 (2014) - [j11]Pengyi Yang, Paul D. Yoo, Juanita I. Fernando, Bing Bing Zhou, Zili Zhang, Albert Y. Zomaya:
Sample Subset Optimization Techniques for Imbalanced and Ensemble Learning Problems in Bioinformatics Applications. IEEE Trans. Cybern. 44(3): 445-455 (2014) - 2013
- [c7]Pengyi Yang, Wei Liu, Bing Bing Zhou, Sanjay Chawla, Albert Y. Zomaya:
Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning. PAKDD (1) 2013: 544-555 - 2012
- [j10]Penghao Wang, Pengyi Yang, Jean Yee Hwa Yang:
OCAP: an open comprehensive analysis pipeline for iTRAQ. Bioinform. 28(10): 1404-1405 (2012) - [j9]Pengyi Yang, Jie Ma, Penghao Wang, Yunping Zhu, Bing Bing Zhou, Jean Yee Hwa Yang:
Improving X!Tandem on Peptide Identification from Mass Spectrometry by Self-Boosted Percolator. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1273-1280 (2012) - 2011
- [j8]Pengyi Yang, Joshua Wing Kei Ho, Jean Yee Hwa Yang, Bing Bing Zhou:
Gene-gene interaction filtering with ensemble of filters. BMC Bioinform. 12(S-1): S10 (2011) - [c6]Pengyi Yang, Zili Zhang, Bing Bing Zhou, Albert Y. Zomaya:
Sample Subset Optimization for Classifying Imbalanced Biological Data. PAKDD (2) 2011: 333-344 - 2010
- [j7]Penghao Wang, Pengyi Yang, Jonathan Arthur, Jean Yee Hwa Yang:
A dynamic wavelet-based algorithm for pre-processing tandem mass spectrometry data. Bioinform. 26(18): 2242-2249 (2010) - [j6]Pengyi Yang, Bing Bing Zhou, Zili Zhang, Albert Y. Zomaya:
A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data. BMC Bioinform. 11(S-1): 5 (2010) - [j5]Pengyi Yang, Joshua Wing Kei Ho, Albert Y. Zomaya, Bing Bing Zhou:
A genetic ensemble approach for gene-gene interaction identification. BMC Bioinform. 11: 524 (2010) - [j4]Pengyi Yang, Zili Zhang, Bing Bing Zhou, Albert Y. Zomaya:
A clustering based hybrid system for biomarker selection and sample classification of mass spectrometry data. Neurocomputing 73(13-15): 2317-2331 (2010) - [c5]Li Li, Pengyi Yang, Ling Ou, Zili Zhang, Peng Cheng:
Genetic Algorithm-Based Multi-objective Optimisation for QoS-Aware Web Services Composition. KSEM 2010: 549-554
2000 – 2009
- 2009
- [j3]Pengyi Yang, Zili Zhang:
An Embedded Two-Layer Feature Selection Approach for Microarray Data Analysis. IEEE Intell. Informatics Bull. 10(1): 24-32 (2009) - [j2]Zili Zhang, Pengyi Yang, Xindong Wu, Chengqi Zhang:
An Agent-Based Hybrid System for Microarray Data Analysis. IEEE Intell. Syst. 24(5): 53-63 (2009) - [c4]Pengyi Yang, Li Tao, Liang Xu, Zili Zhang:
Multiagent Framework for Bio-data Mining. RSKT 2009: 200-207 - 2008
- [j1]Zili Zhang, Pengyi Yang:
An Ensemble of Classifiers with Genetic Algorithm Based Feature Selection. IEEE Intell. Informatics Bull. 9(1): 18-24 (2008) - [c3]Pengyi Yang, Zili Zhang:
A Hybrid Approach to Selecting Susceptible Single Nucleotide Polymorphisms for Complex Disease Analysis. BMEI (1) 2008: 214-218 - [c2]Pengyi Yang, Zili Zhang:
A Clustering Based Hybrid System for Mass Spectrometry Data Analysis. PRIB 2008: 98-109 - 2007
- [c1]Pengyi Yang, Zili Zhang:
Hybrid Methods to Select Informative Gene Sets in Microarray Data Classification. Australian Conference on Artificial Intelligence 2007: 810-814
Coauthor Index
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last updated on 2024-08-05 20:23 CEST by the dblp team
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