Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 3 Similar Profiles
MicroRNAs Medicine & Life Sciences
Genes Engineering & Materials Science
RNA Engineering & Materials Science
Methylation Medicine & Life Sciences
Gene expression Engineering & Materials Science
Transcription factors Engineering & Materials Science
Microarrays Engineering & Materials Science
Electroencephalography Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2014 2017

Methylation
RNA
Research
Messenger RNA
RNA Stability

Research Output 1999 2017

A deep learning model for predicting transcription factor binding location at single nucleotide resolution

Salekin, S., Zhang, J. M. & Huang, Y. Apr 11 2017 2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017. Institute of Electrical and Electronics Engineers Inc., p. 57-60 4 p. 7897204

Research output: ResearchConference contribution

Transcription factors
Nucleotides
Deep learning
Transcription Factors
Learning

Deep transfer learning for cross-subject and cross-experiment prediction of image rapid serial visual presentation events from EEG data

Hajinoroozi, M., Mao, Z., Lin, Y. P. & Huang, Y. 2017 Augmented Cognition: Neurocognition and Machine Learning - 11th International Conference, AC 2017 Held as Part of HCI International 2017, Proceedings. Springer Verlag, Vol. 10284 LNAI, p. 45-55 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10284 LNAI)

Research output: ResearchConference contribution

Transfer Learning
Prediction
Experiment
Presentation
Electroencephalogram

QNB: Differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model

Liu, L., Zhang, S. W., Huang, Y. & Meng, J. Aug 31 2017 In : BMC Bioinformatics. 18, 1, 387

Research output: Research - peer-reviewArticle

Negative Binomial Model
Small Sample
Sequencing
Count
Statistical Models

Advancing Systems Biology in the International Conference on Intelligent Biology and Medicine (ICIBM) 2015

Zhao, Z., Liu, Y., Huang, Y., Huang, K. & Ruan, J. Aug 26 2016 In : BMC Systems Biology. 10, 61

Research output: Research - peer-reviewArticle

Systems Biology
Medicine
Biology
Research
Posters

A hierarchical model for clustering m6A methylation peaks in MeRIP-seq data

Cui, X., Meng, J., Zhang, S., Rao, M. K., Chen, Y. & Huang, Y. Aug 22 2016 In : BMC Genomics. 17, 520

Research output: Research - peer-reviewArticle

RNA Sequence Analysis
Immunoprecipitation
Methylation
Cluster Analysis
RNA