Yufei Huang
Yufei Huang
University of Pittsburg Medical Center
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Particle filtering
PM Djuric, JH Kotecha, J Zhang, Y Huang, T Ghirmai, MF Bugallo, ...
IEEE signal processing magazine 20 (5), 19-38, 2003
Prediction of microRNAs associated with human diseases based on weighted k most similar neighbors
P Xuan, K Han, M Guo, Y Guo, J Li, J Ding, Y Liu, Q Dai, J Li, Z Teng, ...
PloS one 8 (8), e70204, 2013
Regulation of NF-κB inhibitor IκBα and viral replication by a KSHV microRNA
X Lei, Z Bai, F Ye, J Xie, CG Kim, Y Huang, SJ Gao
Nature cell biology 12 (2), 193-199, 2010
Cross-talk among writers, readers, and erasers of m6A regulates cancer growth and progression
S Panneerdoss, VK Eedunuri, P Yadav, S Timilsina, S Rajamanickam, ...
Science advances 4 (10), eaar8263, 2018
A protocol for RNA methylation differential analysis with MeRIP-Seq data and exomePeak R/Bioconductor package
J Meng, Z Lu, H Liu, L Zhang, S Zhang, Y Chen, MK Rao, Y Huang
Methods 69 (3), 274-281, 2014
Survey of computational algorithms for microRNA target prediction
D Yue, H Liu, Y Huang
Current genomics 10 (7), 478-492, 2009
Accurate EEG-based emotion recognition on combined features using deep convolutional neural networks
JX Chen, PW Zhang, ZJ Mao, YF Huang, DM Jiang, YN Zhang
IEEE Access 7, 44317-44328, 2019
EEG-based prediction of driver's cognitive performance by deep convolutional neural network
M Hajinoroozi, Z Mao, TP Jung, CT Lin, Y Huang
Signal Processing: Image Communication 47, 549-555, 2016
Predicting drug response of tumors from integrated genomic profiles by deep neural networks
YC Chiu, HIH Chen, T Zhang, S Zhang, A Gorthi, LJ Wang, Y Huang, ...
BMC medical genomics 12 (1), 143-155, 2019
Convolutional neural network models for cancer type prediction based on gene expression
M Mostavi, YC Chiu, Y Huang, Y Chen
BMC medical genomics 13, 1-13, 2020
Exome-based analysis for RNA epigenome sequencing data
J Meng, X Cui, MK Rao, Y Chen, Y Huang
Bioinformatics 29 (12), 1565-1567, 2013
Viral and cellular N6-methyladenosine and N6,2′-O-dimethyladenosine epitranscriptomes in the KSHV life cycle
B Tan, H Liu, S Zhang, SR da Silva, L Zhang, J Meng, X Cui, H Yuan, ...
Nature microbiology 3 (1), 108-120, 2018
Improving performance of mammalian microRNA target prediction
H Liu, D Yue, Y Chen, SJ Gao, Y Huang
BMC bioinformatics 11, 1-15, 2010
A Bayesian framework for the inference of gene regulatory networks from time and pseudo-time series data
M Sanchez-Castillo, D Blanco, IM Tienda-Luna, MC Carrion, Y Huang
Bioinformatics 34 (6), 964-970, 2018
Review of peak detection algorithms in liquid-chromatography-mass spectrometry
J Zhang, E Gonzalez, T Hestilow, W Haskins, Y Huang
Current genomics 10 (6), 388, 2009
Direct and efficient cellular transformation of primary rat mesenchymal precursor cells by KSHV
T Jones, F Ye, R Bedolla, Y Huang, J Meng, L Qian, H Pan, F Zhou, ...
The Journal of Clinical Investigation 122 (3), 1076, 2012
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome
H Liu, H Wang, Z Wei, S Zhang, G Hua, SW Zhang, L Zhang, SJ Gao, ...
Nucleic acids research 46 (D1), D281-D287, 2018
KSHV microRNAs mediate cellular transformation and tumorigenesis by redundantly targeting cell growth and survival pathways
R Moody, Y Zhu, Y Huang, X Cui, T Jones, R Bedolla, X Lei, Z Bai, SJ Gao
PLoS pathogens 9 (12), e1003857, 2013
Guitar: an R/Bioconductor package for gene annotation guided transcriptomic analysis of RNA-related genomic features
X Cui, Z Wei, L Zhang, H Liu, L Sun, SW Zhang, Y Huang, J Meng
BioMed research international 2016, 2016
EEG-based biometric identification with deep learning
Z Mao, WX Yao, Y Huang
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 609-612, 2017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20