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ORCIDJean Y. H. Yang
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- affiliation: University of Sydney, Charles Perkins Centre, NSW, Australia
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2020 – today
- 2023
[j39]Jie Hao
, Jiawei Zou, Jiaqiang Zhang, Ke Chen, Duojiao Wu, Wei Cao, Guoguo Shang, Jean Yee Hwa Yang, KongFatt Wong-Lin, Hourong Sun, Zhen Zhang, Xiangdong Wang, Wantao Chen, Xin Zou:
scSTAR reveals hidden heterogeneity with a real-virtual cell pair structure across conditions in single-cell RNA sequencing data. Briefings Bioinform. 24(2) (2023)- [j38]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) - [j37]Xiaohang Fu, Ellis Patrick, Jean Y. H. Yang, David Dagan Feng, Jinman Kim:
Deep multimodal graph-based network for survival prediction from highly multiplexed images and patient variables. Comput. Biol. Medicine 154: 106576 (2023) - 2022
- [j36]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) - [j35]Genevieve Coorey, Gemma A. Figtree, David F. Fletcher, Victoria J. Snelson, Stephen T. Vernon, David S. Winlaw, Stuart M. Grieve, Alistair Lee McEwan, Jean Yee Hwa Yang, Pierre Qian, Kieran O'Brien, Jessica Orchard, Jinman Kim, Sanjay Patel, Julie Redfern:
The health digital twin to tackle cardiovascular disease - a review of an emerging interdisciplinary field. npj Digit. Medicine 5 (2022) - [j34]Kevin Y. X. Wang, Gulietta M. Pupo, Varsha Tembe, Ellis Patrick, Dario Strbenac, Sarah-Jane Schramm, John F. Thompson, Richard A. Scolyer, Samuel Müller, Garth Tarr, Graham J. Mann, Jean Yee Hwa Yang:
Cross-Platform Omics Prediction procedure: a statistical machine learning framework for wider implementation of precision medicine. npj Digit. Medicine 5 (2022) - [j33]Yingxin Lin, Lipin Loo, Andy Tran, David M. Lin, Cesar Moreno, Daniel Hesselson, G. Gregory Neely, Jean Y. H. Yang:
Scalable workflow for characterization of cell-cell communication in COVID-19 patients. PLoS Comput. Biol. 18(10): 1010495 (2022) - 2021
- [j32]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) - [i2]Anne E. Carpenter, Casey S. Greene, Piero Carnici, Benilton S. Carvalho, Michiel de Hoon, Stacey D. Finley, Kim-Anh Lê Cao, Jerry S. H. Lee, Luigi Marchionni, Suzanne Sindi, Fabian J. Theis, Gregory P. Way, Jean Y. H. Yang, Elana J. Fertig:
A field guide to cultivating computational biology. CoRR abs/2104.11364 (2021) - 2020
- [j31]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) - [j30]Xiangnan Xu, Samantha Solon-Biet, Alistair M. Senior, David Raubenheimer, Stephen J. Simpson, Luigi Fontana, Samuel Müller, Jean Yee Hwa Yang:
LC-N2G: a local consistency approach for nutrigenomics data analysis. BMC Bioinform. 21(1): 530 (2020) - [j29]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
- [j28]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) - [j27]Shila Ghazanfar, Dario Strbenac, John T. Ormerod, Jean Yee Hwa Yang, Ellis Patrick:
DCARS: differential correlation across ranked samples. Bioinform. 35(5): 823-829 (2019) - [j26]Kevin Y. X. Wang, Alexander M. Menzies, Ines P. Silva, James S. Wilmott, Yibing Yan, Matthew Wongchenko, Richard F. Kefford, Richard A. Scolyer, Georgina V. Long, Garth Tarr, Samuel Müller, Jean Yee Hwa Yang:
bcGST - an interactive bias-correction method to identify over-represented gene-sets in boutique arrays. Bioinform. 35(8): 1350-1357 (2019) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [c3]Sabrina Jaeger, Karsten Klein, Lucas Joos, Johannes Zagermann, Michael de Ridder, Jinman Kim, Jean Yee Hwa Yang, Ulrike Pfeil, Harald Reiterer, Falk Schreiber:
Challenges for Brain Data Analysis in VR Environments. PacificVis 2019: 42-46 - 2018
- [i1]Sarah Elizabeth Romanes, John Thomas Ormerod, Jean Yee Hwa Yang:
Diagonal Discriminant Analysis with Feature Selection for High Dimensional Data. CoRR abs/1807.01422 (2018) - 2017
- [j21]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) - [c2]Pengyi Yang, Wei Liu, Jean Yee Hwa Yang:
Positive unlabeled learning via wrapper-based adaptive sampling. IJCAI 2017: 3273-3279 - 2016
- [j20]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) - [j19]Shila Ghazanfar, Adam J. Bisogni, John T. Ormerod, David M. Lin, Jean Yee Hwa Yang:
Integrated single cell data analysis reveals cell specific networks and novel coactivation markers. BMC Syst. Biol. 10(S-5): 11-24 (2016) - [j18]Shila Ghazanfar, Jean Yee Hwa Yang:
Characterizing mutation-expression network relationships in multiple cancers. Comput. Biol. Chem. 63: 73-82 (2016) - 2015
- [j17]Dario Strbenac, Graham J. Mann, John T. Ormerod, Jean Yee Hwa Yang:
ClassifyR: an R package for performance assessment of classification with applications to transcriptomics. Bioinform. 31(11): 1851-1853 (2015) - [j16]Ellis Patrick, Michael J. Buckley, Samuel Müller, David M. Lin, Jean Yee Hwa Yang:
Inferring data-specific micro-RNA function through the joint ranking of micro-RNA and pathways from matched micro-RNA and gene expression data. Bioinform. 31(17): 2822-2828 (2015) - [j15]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
- [j14]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) - [j13]Rebecca L. Barter, Sarah-Jane Schramm, Graham J. Mann, Yee Hwa Yang:
Network-based biomarkers enhance classical approaches to prognostic gene expression signatures. BMC Syst. Biol. 8(S-4): S5 (2014) - 2013
- [j12]Ellis Patrick, Michael J. Buckley, Yee Hwa Yang:
Estimation of data-specific constitutive exons with RNA-Seq data. BMC Bioinform. 14: 31 (2013) - [j11]Ellis Patrick, Michael J. Buckley, David M. Lin, Yee Hwa Yang:
Improved moderation for gene-wise variance estimation in RNA-Seq via the exploitation of external information. BMC Genom. 14(S-1): S9 (2013) - [c1]Penghao Wang, Jean Yee Hwa Yang, Mark Raftery, Ling Zhong, Susan R. Wilson:
Latin square dataset for evaluating the accuracy of mass spectrometry-based protein identification and quantification. BIBM 2013: 65-67 - 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) - [j7]Tim Peters, David W. Bulger, To-ha Loi, Jean Yee Hwa Yang, David Ma:
Two-Step Cross-Entropy Feature Selection for Microarrays - Power Through Complementarity. IEEE ACM Trans. Comput. Biol. Bioinform. 8(4): 1148-1151 (2011) - 2010
- [j6]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) - [j5]Anna Campain, Yee Hwa Yang:
Comparison study of microarray meta-analysis methods. BMC Bioinform. 11: 408 (2010)
2000 – 2009
- 2007
- [j4]Yuanyuan Xiao, Mark R. Segal, Yee Hwa Yang, Ru-Fang Yeh:
A multi-array multi-SNP genotyping algorithm for Affymetrix SNP microarrays. Bioinform. 23(12): 1459-1467 (2007) - 2005
- [j3]Yee Hwa Yang, Yuanyuan Xiao, Mark R. Segal:
Identifying differentially expressed genes from microarray experiments via statistic synthesis. Bioinform. 21(7): 1084-1093 (2005) - [j2]Yuanyuan Xiao, Yee Hwa Yang, Todd A. Burckin, Lily Shiue, Grant A. Hartzog, Mark R. Segal:
Analysis of a Splice Array Experiment Elucidates Roles of Chromatin Elongation Factor Spt4-5 in Splicing. PLoS Comput. Biol. 1(4) (2005) - 2001
- [j1]Yee Hwa Yang, Michael J. Buckley, Terence P. Speed:
Analysis of CDNA Microarray Images. Briefings Bioinform. 2(4): 341-349 (2001)
Coauthor Index
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