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ORCIDYufei Huang 0001
Person information
- affiliation: University of Pittsburgh, School of Medicine, PA, USA
- affiliation (former): University of Texas at San Antonio, Health Science Center, Department of Epidemiology and Biostatistics, TX, USA
- affiliation (PhD 2001): State University of New York at Stony Brook, NY, USA
Other persons with the same name
- Yufei Huang
- Yufei Huang 0002
![[0009-0007-8184-4529]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0007-8184-4529")
— Zhejiang University, Hangzhou, China (and 1 more) - Yufei Huang 0003 — South China Normal University, College of Mathematical Science, Guangzhou, China
- Yufei Huang 0004 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Yufei Huang 0005 — Tianjin University, College of Intelligence and Computing, China
- Yufei Huang 0006 — Trinity College, Business School, Dublin, Ireland (and 3 more)
- Yufei Huang 0007 — Guangzhou Civil Aviation College, Department of Mathematics Teaching, China
- Yufei Huang 0008 — Tsinghua University, Department of Computer Science and Technology, BNRist, Beijing, China
- Yufei Huang 0009 — Beijing Institute of Spacecraft System Engineering, China
- Yufei Huang 0010 — Hebei Normal University, College of Mathematics and Information Science, Shijiazhuang, China
- Yufei Huang 0011 — Fujian Agriculture and Forestry University, Fuzhou, China
- Yufei Huang 0012 — Rutgers University, Department of Industrial and Systems Engineering, New Brunswick, NJ, USA
- Yufei Huang 0013 — Hechi University, School of Artificial Intelligence and Manufacturing, Yizhou, China
- Yufei Huang 0014 — Xiamen University of Technology, School of Opto-Electronic and Conmmunication Engineering, China
- Yufei Huang 0015 — University of Electronic Science and Technology of China, National Key Laboratory of Wireless Communications, Chengdu, China
- Yufei Huang 0016 — South China Agricultural University, College of Mathematics and Informatics, Guangzhou, China
- Yufei Huang 0017 — Shanghai Jiao Tong University, School of Medicine, Ruijin Hospital, Radiology Department, China
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2020 – today
- 2024
[j55]Tinghe Zhang, Sumin Jo, Michelle Zhang, Kai Wang, Shou-Jiang Gao, Yufei Huang:
Understanding YTHDF2-mediated mRNA degradation by m6A-BERT-Deg. Briefings Bioinform. 25(3) (2024)- [j54]Li-Ju Wang, Michael Ning, Tapsya Nayak, Michael J. Kasper, Satdarshan P. Monga, Yufei Huang, Yidong Chen, Yu-Chiao Chiu:
shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning. Patterns 5(2): 100894 (2024) - [c89]Parth Patel, Yu-Chiao Chiu, Yufei Huang, Jianqiu Zhang:
MetaphorPrompt - An Analogical Reasoning Approach for Extracting Causal Links from Biological Text. BCB 2024: 49:1-49:6 - 2023
- [j53]Sonish Sivarajkumar, Yufei Huang, Yanshan Wang:
Fair patient model: Mitigating bias in the patient representation learned from the electronic health records. J. Biomed. Informatics 148: 104544 (2023) - [i7]Sonish Sivarajkumar, Yufei Huang, Yanshan Wang:
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records. CoRR abs/2306.03179 (2023) - [i6]Xidong Wu, Wan-Yi Lin, Devin Willmott, Filipe Condessa, Yufei Huang, Zhenzhen Li, Madan Ravi Ganesh:
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning. CoRR abs/2311.08479 (2023) - 2022
- [j52]Mario Flores, Zhentao Liu, Tinghe Zhang, Md Musaddaqui Hasib, Yu-Chiao Chiu, Zhenqing Ye, Karla Paniagua, Sumin Jo, Jianqiu Zhang, Shou-Jiang Gao, Yu-Fang Jin, Yidong Chen, Yufei Huang:
Deep learning tackles single-cell analysis - a survey of deep learning for scRNA-seq analysis. Briefings Bioinform. 23(1) (2022) - [j51]David Rodriguez, Tapsya Nayak, Yidong Chen, Ram Krishnan, Yufei Huang:
On the role of deep learning model complexity in adversarial robustness for medical images. BMC Medical Informatics Decis. Mak. 22-S(2): 160 (2022) - [c88]Mohammad Nur Nobi, Ram Krishnan, Yufei Huang, Mehrnoosh Shakarami, Ravi S. Sandhu:
Toward Deep Learning Based Access Control. CODASPY 2022: 143-154 - [c87]Mohammad Nur Nobi, Ram Krishnan, Yufei Huang, Ravi S. Sandhu:
Administration of Machine Learning Based Access Control. ESORICS (2) 2022: 189-210 - [i5]Mohammad Nur Nobi, Ram Krishnan, Yufei Huang, Mehrnoosh Shakarami, Ravi S. Sandhu:
Toward Deep Learning Based Access Control. CoRR abs/2203.15124 (2022) - 2021
- [j50]Milad Mostavi, Yu-Chiao Chiu, Yidong Chen, Yufei Huang:
CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training. BMC Bioinform. 22(1): 244 (2021) - [c86]Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad:
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. AAAI 2021: 818-826 - [c85]John Heaps, Ram Krishnan, Yufei Huang, Jianwei Niu, Ravi S. Sandhu:
Access Control Policy Generation from User Stories Using Machine Learning. DBSec 2021: 171-188 - [e1]Yufei Huang, Lukasz A. Kurgan, Feng Luo, Xiaohua Hu, Yidong Chen, Edward R. Dougherty, Andrzej Kloczkowski, Yaohang Li:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021. IEEE 2021, ISBN 978-1-6654-0126-5 [contents] - 2020
- [j49]Yu-Chiao Chiu, Hung-I Harry Chen, Aparna Gorthi, Milad Mostavi, Siyuan Zheng, Yufei Huang, Yidong Chen:
Deep learning of pharmacogenomics resources: moving towards precision oncology. Briefings Bioinform. 21(6): 2066-2083 (2020) - [c84]Rifatul Islam, Yonggun Lee, Mehrad Jaloli, Imtiaz Muhammad, Dakai Zhu, Paul Rad, Yufei Huang, John Quarles:
Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals. ISMAR 2020: 400-411
2010 – 2019
- 2019
- [j48]Song-Yao Zhang, Shao-Wu Zhang, Xiao-Nan Fan, Teng Zhang, Jia Meng, Yufei Huang:
FunDMDeep-m6A: identification and prioritization of functional differential m6A methylation genes. Bioinform. 35(14): i90-i98 (2019) - [j47]Jingxia Chen, Zijing Mao, Ru Zheng, Yufei Huang, Lifeng He:
Feature Selection of Deep Learning Models for EEG-Based RSVP Target Detection. IEICE Trans. Inf. Syst. 102-D(4): 836-844 (2019) - [j46]Song-Yao Zhang, Shaowu Zhang, Xiaonan Fan, Jia Meng, Yidong Chen, Shou-Jiang Gao, Yufei Huang:
Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods. PLoS Comput. Biol. 15(1) (2019) - [c83]Md Musaddaqul Hasib, Zane Lybrand, Vanesa Nieto Estevez, Jenny Hsieh, Yufei Huang:
Charactering hESCs Organoids from Electrical Signals with Machine Learning. BHI 2019: 1-4 - [c82]Zhentao Liu, Jeffrey Mock, Yufei Huang, Edward J. Golob:
Predicting Auditory Spatial Attention from EEG using Single- and Multi-task Convolutional Neural Networks. SMC 2019: 1298-1303 - [c81]Sharaj Panwar, Paul Rad, John Quarles, Yufei Huang:
Generating EEG signals of an RSVP Experiment by a Class Conditioned Wasserstein Generative Adversarial Network. SMC 2019: 1304-1310 - [c80]Sharaj Panwar, Paul Rad, John Quarles, Edward J. Golob, Yufei Huang:
A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals. SMC 2019: 3943-3948 - [c79]Tapsya Nayak, Li-Wei Ko, Tzyy-Ping Jung, Yufei Huang:
Target Classification in a Novel SSVEP-RSVP Based BCI Gaming System. SMC 2019: 4194-4198 - [i4]Milad Mostavi, Yu-Chiao Chiu, Yufei Huang, Yidong Chen:
Convolutional neural network models for cancer type prediction based on gene expression. CoRR abs/1906.07794 (2019) - [i3]Sharaj Panwar, Paul Rad, Tzyy-Ping Jung, Yufei Huang:
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events. CoRR abs/1911.04379 (2019) - 2018
- [j45]Manuel Sanchez-Castillo, David Blanco, Isabel M. Tienda-Luna, Maria Carmen Carrion Perez, Yufei Huang:
A Bayesian framework for the inference of gene regulatory networks from time and pseudo-time series data. Bioinform. 34(6): 964-970 (2018) - [j44]Sirajul Salekin, Jianqiu (Michelle) Zhang, Yufei Huang:
Base-pair resolution detection of transcription factor binding site by deep deconvolutional network. Bioinform. 34(20): 3446-3453 (2018) - [j43]Fuquan Zhang, Zijing Mao, Yufei Huang, Lin Xu, Gangyi Ding:
Deep Learning Models for EEG-based Rapid Serial Visual Presentation Event Classification. J. Inf. Hiding Multim. Signal Process. 9(1): 177-187 (2018) - [j42]Hui Liu, Huaizhi Wang, Zhen Wei, Songyao Zhang, Gang Hua, Shao-Wu Zhang, Lin Zhang, Shou-Jiang Gao, Jia Meng, Xing Chen, Yufei Huang:
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome. Nucleic Acids Res. 46(Database-Issue): D281-D287 (2018) - [j41]Xiaodong Cui, Lin Zhang, Jia Meng, Manjeet K. Rao, Yidong Chen, Yufei Huang:
MeTDiff: A Novel Differential RNA Methylation Analysis for MeRIP-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 526-534 (2018) - [c78]Mahmoud Abdelsalam, Ram Krishnan, Yufei Huang, Ravi S. Sandhu:
Malware Detection in Cloud Infrastructures Using Convolutional Neural Networks. IEEE CLOUD 2018: 162-169 - [c77]Songyao Zhang, Shaowu Zhang, Xiaonan Fan, Jia Meng, Yidong Chen, Yufei Huang:
A Machine Learning Approach for Uncovering N6-methyladenosine-Disease Association. BCB 2018: 600 - [c76]Isaac A. Corley, Yufei Huang:
Deep EEG super-resolution: Upsampling EEG spatial resolution with Generative Adversarial Networks. BHI 2018: 100-103 - [c75]Md Musaddaqul Hasib, Tapsya Nayak, Yufei Huang:
A hierarchical LSTM model with attention for modeling EEG non-stationarity for human decision prediction. BHI 2018: 104-107 - [c74]Yonggun Lee, Yufei Huang:
Generating target/non-target images of an RSVP experiment from brain signals in by conditional generative adversarial network. BHI 2018: 182-185 - [c73]Mingzhu Lu, Yufei Huang:
CLIPSeed: Achieving High Precision miRNA Binding Sites Prediction using PAR-CLIP Data. BIBM 2018: 1764-1771 - [c72]Milad Mostavi, Sirajul Salekin, Yufei Huang:
Deep-2'-O-Me: Predicting 2'-O-methylation sites by Convolutional Neural Networks. EMBC 2018: 2394-2397 - [i2]Yu-Chiao Chiu, Hung-I Harry Chen, Tinghe Zhang, Songyao Zhang, Aparna Gorthi, Li-Ju Wang, Yufei Huang, Yidong Chen:
Predicting drug response of tumors from integrated genomic profiles by deep neural networks. CoRR abs/1805.07702 (2018) - [i1]Hung-I Harry Chen, Yu-Chiao Chiu, Tinghe Zhang, Songyao Zhang, Yufei Huang, Yidong Chen:
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization. CoRR abs/1805.07874 (2018) - 2017
- [j40]Lian Liu, Shao-Wu Zhang, Yufei Huang, Jia Meng:
QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model. BMC Bioinform. 18(1): 387:1-387:12 (2017) - [j39]Lin Zhang, Hui Liu, Yufei Huang, Xuesong Wang, Yidong Chen, Jia Meng:
Cancer Progression Prediction Using Gene Interaction Regularized Elastic Net. IEEE ACM Trans. Comput. Biol. Bioinform. 14(1): 145-154 (2017) - [c71]Sirajul Salekin, Jianqiu (Michelle) Zhang, Yufei Huang:
A deep learning model for predicting transcription factor binding location at single nucleotide resolution. BHI 2017: 57-60 - [c70]Tapsya Nayak, Tinghe Zhang, Zijing Mao, Xiaojing Xu, Daniel J. Pack, Bing Dong, Yufei Huang:
Prediction of temperature induced office worker's performance during typing task using EEG. EMBC 2017: 1684-1687 - [c69]Zijing Mao, Wan Xiang Yao, Yufei Huang:
Design of deep convolutional networks for prediction of image rapid serial visual presentation events. EMBC 2017: 2035-2038 - [c68]Mehdi Hajinoroozi, Jianqiu (Michelle) Zhang, Yufei Huang:
Prediction of fatigue-related driver performance from EEG data by deep Riemannian model. EMBC 2017: 4167-4170 - [c67]Mehdi Hajinoroozi, Zijing Mao, Yuan-Pin Lin, Yufei Huang:
Deep Transfer Learning for Cross-subject and Cross-experiment Prediction of Image Rapid Serial Visual Presentation Events from EEG Data. HCI (14) 2017: 45-55 - [c66]Zijing Mao, Wan Xiang Yao, Yufei Huang:
EEG-based biometric identification with deep learning. NER 2017: 609-612 - [c65]Mehdi Hajinoroozi, Jianqiu (Michelle) Zhang, Yufei Huang:
Driver's fatigue prediction by deep covariance learning from EEG. SMC 2017: 240-245 - 2016
- [j38]Xiaodong Cui, Jia Meng, Shaowu Zhang, Yidong Chen, Yufei Huang:
A novel algorithm for calling mRNA m6A peaks by modeling biological variances in MeRIP-seq data. Bioinform. 32(12): 378-385 (2016) - [j37]Zhongming Zhao, Yunlong Liu, Yufei Huang, Kun Huang, Jianhua Ruan:
Advancing Systems Biology in the International Conference on Intelligent Biology and Medicine (ICIBM) 2015. BMC Syst. Biol. 10(S-3): 61 (2016) - [j36]Song-Yao Zhang, Shao-Wu Zhang, Lian Liu, Jia Meng, Yufei Huang:
m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks. PLoS Comput. Biol. 12(12) (2016) - [j35]Mehdi Hajinoroozi, Zijing Mao, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang:
EEG-based prediction of driver's cognitive performance by deep convolutional neural network. Signal Process. Image Commun. 47: 549-555 (2016) - [c64]Lenis Mauricio Merino, Tapsya Nayak, Garrett Hall, Daniel J. Pack, Yufei Huang:
Detection of control or idle state with a likelihood ratio test in asynchronous SSVEP-based brain-computer interface systems. EMBC 2016: 1568-1571 - [c63]Zijing Mao, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang:
Predicting EEG Sample Size Required for Classification Calibration. HCI (13) 2016: 57-68 - 2015
- [j34]Hui Liu, Mario A. Flores, Jia Meng, Lin Zhang, Xinyu Zhao, Manjeet K. Rao, Yidong Chen, Yufei Huang:
MeT-DB: a database of transcriptome methylation in mammalian cells. Nucleic Acids Res. 43(Database-Issue): 197-203 (2015) - [c62]Xiaodong Cui, Zhen Wei, Lin Zhang, Hui Liu, Lei Sun, Shaowu Zhang, Yufei Huang, Jia Meng:
Sketching the distribution of transcriptomic features on RNA transcripts with Travis coordinates. BIBM 2015: 1536-1542 - [c61]Mehdi Hajinoroozi, Zijing Mao, Yufei Huang:
Prediction of driver's drowsy and alert states from EEG signals with deep learning. CAMSAP 2015: 493-496 - [c60]Xiaodong Cui, Jia Meng, Shaowu Zhang, Yufei Huang:
Modeling of replicates variances for detecting RNA methylation site in MERIP-SEQ data. ChinaSIP 2015: 802-806 - [c59]Mehdi Hajinoroozi, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang:
Feature extraction with deep belief networks for driver's cognitive states prediction from EEG data. ChinaSIP 2015: 812-815 - 2014
- [j33]Zijing Mao, Chifeng Ma, Tim Hui-Ming Huang, Yidong Chen, Yufei Huang:
BIMMER: a novel algorithm for detecting differential DNA methylation regions from MBDCap-seq data. BMC Bioinform. 15(S-12): S6 (2014) - [j32]Jia Meng, Lenis Mauricio Merino, Kay Robbins, Yufei Huang:
Classification of Imperfectly Time-Locked Image RSVP Events with EEG Device. Neuroinformatics 12(2): 261-275 (2014) - [j31]Yufei Huang, Yidong Chen, Xiaoning Qian:
Selected Articles from the 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2012). IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 981-983 (2014) - [c58]Zijing Mao, Vernon Lawhern, Lenis Mauricio Merino, Kenneth Ball, Li Deng, Brent J. Lance, Kay Robbins, Yufei Huang:
Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning. ChinaSIP 2014: 520-524 - [c57]Lin Zhang, Jia Meng, Hui Liu, Xiaodong Cui, Shao-Wu Zhang, Yidong Chen, Yufei Huang:
Detecting differentially methylated mRNA from MeRIP-Seq with likelihood ratio test. GlobalSIP 2014: 1368-1371 - [c56]Yu-Chen Zhang, Shao-Wu Zhang, Lian Liu, Lin Zhang, Hui Liu, Xiaodong Cui, Yufei Huang, Jia Meng:
Differential analysis of RNA methylome with improved spatial resolution. GlobalSIP 2014: 1372-1375 - 2013
- [j30]Mario Flores, Tzu-Hung Hsiao, Yu-Chiao Chiu, Eric Y. Chuang, Yufei Huang, Yidong Chen:
Gene Regulation, Modulation, and Their Applications in Gene Expression Data Analysis. Adv. Bioinformatics 2013: 360678:1-360678:11 (2013) - [j29]Mohamed N. Nounou, Hazem N. Nounou, Erchin Serpedin, Aniruddha Datta, Yufei Huang:
Computational and Statistical Approaches for Modeling of Proteomic and Genomic Networks. Adv. Bioinformatics 2013: 561968:1-561968:2 (2013) - [j28]Jia Meng, Xiaodong Cui, Manjeet K. Rao, Yidong Chen, Yufei Huang:
Exome-based analysis for RNA epigenome sequencing data. Bioinform. 29(12): 1565-1567 (2013) - [j27]Chifeng Ma, Hung-I Harry Chen, Mario Flores, Yufei Huang, Yidong Chen:
BRCA-Monet: a breast cancer specific drug treatment mode-of-action network for treatment effective prediction using large scale microarray database. BMC Syst. Biol. 7(S-5): S5 (2013) - [c55]Zijing Mao, Tim Hui-Ming Huang, Yidong Chen, Yufei Huang:
BIMMER: A Bi-layer hidden Markov model for differential methylation analysis. BIBM 2013: 99-102 - [c54]Jia Meng, Xiaodong Cui, Hui Liu, Lin Zhang, Shaowu Zhang, Manjeet K. Rao, Yidong Chen, Yufei Huang:
Unveiling the dynamics in RNA epigenetic regulations. BIBM 2013: 139-144 - [c53]Lin Zhang, Hui Liu, Jia Meng, Xuesong Wang, Yidong Chen, Yufei Huang:
Integration of gene expression, genome wide DNA methylation, and gene networks for clinical outcome prediction in ovarian cancer. BIBM 2013: 535-538 - [c52]Manuel Sanchez-Castillo, Isabel M. Tienda-Luna, David Blanco, Maria Carmen Carrion Perez, Yufei Huang:
Bayesian sparse factor model for transcriptional regulatory networks inference. EUSIPCO 2013: 1-4 - [c51]Mario Flores, Yufei Huang, Yidong Chen:
NetceRNA: An algorithm for construction of phenotype-specific regulation networks via competing endogenous RNAs. GENSiPS 2013: 24-27 - [c50]Xiaodong Cui, Jia Meng, Manjeet K. Rao, Yidong Chen, Yufei Huang:
An HMM-based Exome Peak-finding package for RNA epigenome sequencing data. GENSiPS 2013: 85 - [c49]Shaheen Ahmed, Lenis Mauricio Merino, Zijing Mao, Jia Meng, Kay Robbins, Yufei Huang:
A Deep Learning method for classification of images RSVP events with EEG data. GlobalSIP 2013: 33-36 - [c48]Xiaodong Cui, Jia Meng, Manjeet K. Rao, Yidong Chen, Yufei Huang:
Differential analysis of rna methylation sequencing data. GlobalSIP 2013: 41-42 - [c47]Lenis Mauricio Merino, Jia Meng, Stephen M. Gordon, Brent J. Lance, Tony Johnson, Victor Paul, Kay Robbins, Jean M. Vettel, Yufei Huang:
A bag-of-words model for task-load prediction from EEG in complex environments. ICASSP 2013: 1227-1231 - [c46]Amy Wafa Daali, Yufei Huang, Mo M. Jamshidi:
A system based approach to construct a Kaposi sarcoma-associated herpesvirus (KSHV) specific pathway crosstalk network. SoSE 2013: 273-278 - 2012
- [j26]Yufei Huang, Zhongming Zhao, Hua Xu, Yu Shyr, Bing Zhang:
Advances in systems biology: computational algorithms and applications. BMC Syst. Biol. 6(S-3): S1 (2012) - [j25]Isabel M. Tienda-Luna, Diego P. Ruiz, Yufei Huang, María C. Carrión:
Iterative decoding in Factor Graph representation using Particle Filtering. Digit. Signal Process. 22(2): 212-218 (2012) - [j24]Nguyen T. Nguyen, Ying Ann Chiao, Yufei Huang, Shou-Jiang Gao, Merry Lindsey, Yidong Chen, Yufang Jin:
Temporal clustering of gene expression patterns using short-time segments. Int. J. Funct. Informatics Pers. Medicine 4(1): 32-46 (2012) - [j23]Dong Yue, Jia Meng, Mingzhu Lu, C. L. Philip Chen, Maozu Guo, Yufei Huang:
Understanding MicroRNA Regulation: A computational perspective. IEEE Signal Process. Mag. 29(1): 77-88 (2012) - [c45]Lin Zhang, Hui Liu, Tzu-Hung Hsiao, Yidong Chen, Yufei Huang:
An investigation of clinical outcome prediction from integrative genomic profiles in ovarian cancer. GENSiPS 2012: 103-106 - [c44]Mario Flores, Yufei Huang:
A new algorithm for predicting competing endogenous rnas. GENSiPS 2012: 118-121 - [c43]Jia Meng, Lenis Mauricio Merino, Kay Robbins, Yufei Huang:
Classification of EEG recordings without perfectly time-locked events. SSP 2012: 444-447 - [c42]Jia Meng, Lenis Mauricio Merino, Kay Robbins, Yufei Huang:
Exploiting correlated discriminant features in time frequency and space for characterization and robust classification of image RSVP events with EEG data. SSP 2012: 668-671 - [c41]Manuel Sanchez-Castillo, Jia Meng, Isabel M. Tienda-Luna, Yufei Huang:
Basis-expansion factor models for uncovering transcription factor regulatory network. SSP 2012: 700-703 - 2011
- [j22]Ping Xuan, Maozu Guo, Xiaoyan Liu, Yangchao Huang, Wenbin Li, Yufei Huang:
PlantMiRNAPred: efficient classification of real and pseudo plant pre-miRNAs. Bioinform. 27(10): 1368-1376 (2011) - [j21]Omid Ghasemi, Merry Lindsey, Tianyi Yang, Nguyen T. Nguyen, Yufei Huang, Yufang Jin:
Bayesian parameter estimation for nonlinear modelling of biological pathways. BMC Syst. Biol. 5(S-3): S9 (2011) - [c40]Tzu-Hung Hsiao, Hung-I Harry Chen, Patricia C. Sanchez-Diaz, Jaclyn Y. Hung, Yidong Chen, Yufei Huang:
Gene sets enrichment analysis of miRNA expression profile. BIBM Workshops 2011: 449-454 - [c39]Chifeng Ma, Yufei Huang, Huang-I Harry, Yidong Chen:
Comprehensive investigation of connectivity map data-towards a drug mode of action network for personalized thnerapy. BIBM Workshops 2011: 1045-1047 - [c38]Mingzhu Lu, C. L. Philip Chen, Yufei Huang:
Beyond seed match: Improving miRNA target prediction using PAR-CLIP data. GENSiPS 2011: 127-130 - [c37]Dong Yue, Yidong Chen, Shou-Jiang Gao, Yufei Huang:
Computational prediction of microRNA regulatory pathways. GENSiPS 2011: 158-161 - [c36]Lin Zhang, Jia Meng, Hui Liu, Yufei Huang:
Clustering DNA methylation expressions using nonparametric beta mixture model. GENSiPS 2011: 170-173 - [c35]Jia Meng, Hung-I Chen, Jianqiu Zhang, Yidong Chen, Yufei Huang:
Uncover cooperative gene regulations by microRNAs and transcription factors in glioblastoma using a nonnegative hybrid factor model. ICASSP 2011: 6012-6015 - 2010
- [j20]Hui Liu, Dong Yue, Yidong Chen, Shou-Jiang Gao, Yufei Huang:
Improving performance of mammalian microRNA target prediction. BMC Bioinform. 11: 476 (2010) - [j19]Jia Meng, Jianqiu (Michelle) Zhang, Yuan (Alan) Qi, Yidong Chen, Yufei Huang:
Uncovering Transcriptional Regulatory Networks by Sparse Bayesian Factor Model. EURASIP J. Adv. Signal Process. 2010 (2010) - [j18]Jianqiu Zhang, Xiaobo Zhou, Honghui Wang, Anthony Suffredini, Lin Zhang, Yufei Huang, Stephen T. C. Wong:
Bayesian peptide peak detection for high resolution TOF mass spectrometry. IEEE Trans. Signal Process. 58(11): 5883-5894 (2010) - [c34]Dong Yue, Hui Liu, Mingzhu Lu, Philip Chen, Yidong Chen, Yufei Huang:
A Bayesian decision fusion approach for microRNA target prediction. BCB 2010: 214-221 - [c33]Chifeng Ma, Hung-I Harry Chen, Yufei Huang, Yidong Chen:
Constructing a compound mode-of-action network for personalized drug effectiveness prediction. BCB 2010: 520-528 - [c32]Nguyen T. Nguyen, Yufang Jin, Yufei Huang, Ying Ann Chiao, Shou-Jiang Gao, Merry Lindsey, Yidong Chen:
Temporal clustering of gene expression patterns using short-time segments. BIBM Workshops 2010: 173-178 - [c31]Jia Meng, Jianqiu Zhang, Yidong Chen, Yufei Huang:
An Iterated Conditional Modes solution for sparse Bayesian factor modeling of transcriptional regulatory networks. BIBM 2010: 335-340 - [c30]Chifeng Ma, Hung-I Harry Chen, Yufei Huang, Yidong Chen:
A computational framework for predicting drug Mode-of-Action. BIBM Workshops 2010: 374-379 - [c29]Dong Yue, Yidong Chen, Shou-Jiang Gao, Yufei Huang:
Computational prediction of MicroRNA regulatory pathways. BIBM Workshops 2010: 386-391 - [c28]Jia Meng, Jianqiu Zhang, Yidong Chen, Yufei Huang:
An iterated conditional mode solu