Jia Meng
Orcid: 0000-0003-3455-205XAffiliations:
- Xi'an Jiaotong-Liverpool University, Department of Biological Sciences, Suzhou, China
- Massachusetts Institute of Technology, Picower Institute for Learning and Memory, Cambridge, MA, USA (former)
- University of Texas at San Antonio, TX, USA (PhD 2011)
According to our database1,
Jia Meng
authored at least 63 papers
between 2009 and 2024.
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Online presence:
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Bibliography
2024
Tissue-specific RNA methylation prediction from gene expression data using sparse regression models.
Comput. Biol. Medicine, February, 2024
Proceedings of the 2024 16th International Conference on Bioinformatics and Biomedical Technology, 2024
2023
m6A-TSHub: Unveiling the Context-specific m<sup>6</sup>A Methylation and m<sup>6</sup>A-affecting Mutations in 23 Human Tissues.
Genom. Proteom. Bioinform., August, 2023
Multi-task adaptive pooling enabled synergetic learning of RNA modification across tissue, type and species from low-resolution epitranscriptomes.
Briefings Bioinform., May, 2023
DirectRMDB: a database of post-transcriptional RNA modifications unveiled from direct RNA sequencing technology.
Nucleic Acids Res., January, 2023
RMDisease V2.0: an updated database of genetic variants that affect RNA modifications with disease and trait implication.
Nucleic Acids Res., January, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
FBCwPlaid: A Functional Biclustering Analysis of Epi-Transcriptome Profiling Data Via a Weighted Plaid Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
A New Convolutional Neural Network Architecture for Automatic Segmentation of Overlapping Human Chromosomes.
Neural Process. Lett., 2022
m5C-Atlas: a comprehensive database for decoding and annotating the 5-methylcytosine (m5C) epitranscriptome.
Nucleic Acids Res., 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Funm6AViewer: a web server and R package for functional analysis of context-specific m6A RNA methylation.
Bioinform., November, 2021
m6A-Atlas: a comprehensive knowledgebase for unraveling the N6-methyladenosine (m6A) epitranscriptome.
Nucleic Acids Res., 2021
RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis.
Nucleic Acids Res., 2021
A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image.
CoRR, 2021
MetaTX: deciphering the distribution of mRNA-related features in the presence of isoform ambiguity, with applications in epitranscriptome analysis.
Bioinform., 2021
Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data.
Bioinform., 2021
ConsRM: collection and large-scale prediction of the evolutionarily conserved RNA methylation sites, with implications for the functional epitranscriptome.
Briefings Bioinform., 2021
A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021
A Meta-analysis: Evaluating the Effect of METTL3/METTL14 on m6A Level Based on Knockdown Samples.
Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021
Computational Prediction of N6-methyladenosine (m6A) RNA Methylation in SARS-CoV-2 Viral Transcripts.
Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021
Prediction of m6A Reader Substrate Sites Using Deep Convolutional and Recurrent Neural Network.
Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021
2020
REW-ISA: unveiling local functional blocks in epi-transcriptome profiling data via an RNA expression-weighted iterative signature algorithm.
BMC Bioinform., 2020
m7GHub: deciphering the location, regulation and pathogenesis of internal mRNA N7-methylguanosine (m7G) sites in human.
Bioinform., 2020
ISGm1A: Integration of Sequence Features and Genomic Features to Improve the Prediction of Human m<sub>1</sub>A RNA Methylation Sites.
IEEE Access, 2020
Proceedings of the 13th International Congress on Image and Signal Processing, 2020
An Improved Algorithm for Estimating the Distribution of RNA-related Genomic Features.
Proceedings of the BIBE 2020: The Fourth International Conference on Biological Information and Biomedical Engineering, 2020
2019
Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods.
PLoS Comput. Biol., 2019
m6Acomet: large-scale functional prediction of individual m6A RNA methylation sites from an RNA co-methylation network.
BMC Bioinform., 2019
FunDMDeep-m6A: identification and prioritization of functional differential m6A methylation genes.
Bioinform., 2019
RNA methylation and diseases: experimental results, databases, Web servers and computational models.
Briefings Bioinform., 2019
Detection of m6A RNA Methylation in Nanopore Sequencing Data Using Support Vector Machine.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019
2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome.
Nucleic Acids Res., 2018
BMC Bioinform., 2018
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model.
BMC Bioinform., 2017
2016
m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks.
PLoS Comput. Biol., 2016
A novel algorithm for calling mRNA m<sup>6</sup>A peaks by modeling biological variances in MeRIP-seq data.
Bioinform., 2016
2015
Nucleic Acids Res., 2015
Modeling of replicates variances for detecting RNA methylation site in MERIP-SEQ data.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015
Sketching the distribution of transcriptomic features on RNA transcripts with Travis coordinates.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Neuroinformatics, 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Integration of gene expression, genome wide DNA methylation, and gene networks for clinical outcome prediction in ovarian cancer.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
IEEE Signal Process. Mag., 2012
Basis-expansion factor models for uncovering transcription factor regulatory network.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Exploiting correlated discriminant features in time frequency and space for characterization and robust classification of image RSVP events with EEG data.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
2011
Uncover cooperative gene regulations by microRNAs and transcription factors in glioblastoma using a nonnegative hybrid factor model.
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
2010
EURASIP J. Adv. Signal Process., 2010
An iterated conditional mode solution for Bayesian factor modeling of transcriptional regulatory networks.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010
An Iterated Conditional Modes solution for sparse Bayesian factor modeling of transcriptional regulatory networks.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
2009
Enrichment constrained time-dependent clustering analysis for finding meaningful temporal transcription modules.
Bioinform., 2009