Yi-Ping Phoebe Chen

发表

Potential therapeutic targets and the role of technology in developing novel antileishmanial drugs.

Raj M. Rajasekaran, Yi-Ping Phoebe Chen, 2015, Drug discovery today.

An evaluation of contemporary hidden Markov model genefinders with a predicted exon taxonomy

Yi-Ping Phoebe Chen, Yi-Ping Phoebe Chen, K. Knapp, 2007, Nucleic acids research.

GI-POP: a combinational annotation and genomic island prediction pipeline for ongoing microbial genome projects.

Chuan Yi Tang, Cheng-Yu Ma, Ping-Chiang Lyu, 2013, Gene.

Probing the structure of Leishmania major DHFR TS and structure based virtual screening of peptide library for the identification of anti-leishmanial leads

Raj M. Rajasekaran, Yi-Ping Phoebe Chen, 2012, Journal of Molecular Modeling.

Variance explained by whole genome sequence variants in coding and regulatory genome annotations for six dairy traits

B. Hayes, P. Stothard, L. Koufariotis, 2018, BMC Genomics.

POEM, A 3-dimensional exon taxonomy and patterns in untranslated exons

A. Chonka, Yi-Ping Phoebe Chen, K. Knapp, 2008, BMC Genomics.

A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

M. Goddard, B. Hayes, P. Bowman, 2016, BMC Genomics.

Application of a Bayesian non-linear model hybrid scheme to sequence data for genomic prediction and QTL mapping

M. Goddard, B. Hayes, J. Pryce, 2017, BMC Genomics.

Genetic variation of the hemagglutinin of avian influenza virus H9N2

Xiaofeng Song, P. Han, Yi-Ping Phoebe Chen, 2011, Journal of medical virology.

OP-CBIO170043 1681..1688

B. Berger, Yi-Ping Phoebe Chen, Chung-Shou Liao, 2017 .

A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

M. Goddard, B. Hayes, P. Bowman, 2016, BMC Genomics.

A database of simulated tumor genomes towards accurate detection of somatic small variants in cancer

Yi-Ping Phoebe Chen, Jing Meng, 2018, bioRxiv.

Variance explained by whole genome sequence variants in coding and regulatory genome annotations for six dairy traits

B. Hayes, P. Stothard, L. Koufariotis, 2018, BMC Genomics.

Changes in snoRNA and snRNA Abundance in the Human, Chimpanzee, Macaque, and Mouse Brain

B. Velichkovsky, M. Gelfand, P. Khaitovich, 2016, Genome biology and evolution.

Evaluation of deep learning in non-coding RNA classification

A. McGrath, Yi-Ping Phoebe Chen, N. Amin, 2019, Nature Machine Intelligence.

Regulatory and coding genome regions are enriched for trait associated variants in dairy and beef cattle

B. Hayes, L. Koufariotis, Yi-Ping Phoebe Chen, 2014, BMC Genomics.

Metabolic classification of microbial genomes using functional probes

C. Tang, P. Lyu, Wei-Cheng Lo, 2012, BMC Genomics.

A catalogue of novel bovine long noncoding RNA across 18 tissues

B. Hayes, C. V. Vander Jagt, A. Chamberlain, 2015, PloS one.

Tracking Neutrophil Migration in Zebrafish Model Using Multi-Channel Feature Learning

Yi-Ping Phoebe Chen, Marzieh Rahmani Moghadam, Yi-Ping Phoebe Chen, 2020, IEEE Journal of Biomedical and Health Informatics.

Research on folding diversity in statistical learning methods for RNA secondary structure prediction

Min Zhu, Yi-Ping Phoebe Chen, Yu Zhu, 2018, International journal of biological sciences.

A computationally efficient algorithm for genomic prediction using a Bayesian model

Yi-Ping Phoebe Chen, Tingting Wang, Michael E Goddard, 2014, Genetics Selection Evolution.

New Insights Into Drug Repurposing for COVID-19 Using Deep Learning

Chun Yen Lee, Yi-Ping Phoebe Chen, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Network-based methods for gene function prediction.

Shirui Pan, K. Tan, T. Jiang, 2021, Briefings in functional genomics.

Application of a Bayesian non-linear model hybrid scheme to sequence data for genomic prediction and QTL mapping

M. Goddard, B. Hayes, J. Pryce, 2017, BMC Genomics.

Widespread splicing changes in human brain development and aging

Zheng Yan, Na Li, Philipp Khaitovich, 2013 .

Reply to: LncADeep performance on full-length transcripts

Yi-Ping Phoebe Chen, Noorul Amin, Annette McGrath, 2020, Nature Machine Intelligence.

Prediction of pre-miRNA’s with multiple stem-loops using pruning algorithm and global score

Minghao Wang, Yi-Ping Phoebe Chen, Ping Han, 2011 .

FexRNA: Exploratory Data Analysis and Feature Selection of Non-Coding RNA

Annette McGrath, Noorul Amin, Yi-Ping Phoebe Chen, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion

Qingfeng Chen, Yi-Ping Phoebe Chen, Jianxin Wang, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A computationally efficient algorithm for genomic prediction using a Bayesian model

M. Goddard, B. Hayes, K. Kemper, 2014, Genetics Selection Evolution.