相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Quantitative structure?property relationships for the calculation of the soil adsorption coefficient using machine learning algorithms with calculated chemical properties from open-source software
Yoshiyuki Kobayashi et al.
ENVIRONMENTAL RESEARCH (2021)
Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences
Zhen Chen et al.
BRIEFINGS IN BIOINFORMATICS (2020)
iMRM: a platform for simultaneously identifying multiple kinds of RNA modifications
Kewei Liu et al.
BIOINFORMATICS (2020)
im6A-TS-CNN: Identifying the N6-Methyladenine Site in Multiple Tissues by Using the Convolutional Neural Network
Kewei Liu et al.
MOLECULAR THERAPY-NUCLEIC ACIDS (2020)
CPPred: coding potential prediction based on the global description of RNA sequence
Xiaoxue Tong et al.
NUCLEIC ACIDS RESEARCH (2019)
WHISTLE: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach
Kunqi Chen et al.
NUCLEIC ACIDS RESEARCH (2019)
CL-PMI: A Precursor MicroRNA Identification Method Based on Convolutional and Long Short-Term Memory Networks
Huiqing Wang et al.
FRONTIERS IN GENETICS (2019)
Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA
Quan Zou et al.
RNA (2019)
RFAthM6A: a new tool for predicting m6A sites in Arabidopsis thaliana
Xiaofeng Wang et al.
PLANT MOLECULAR BIOLOGY (2018)
M6APred-EL: A Sequence-Based Predictor for Identifying N6-methyladenosine Sites Using Ensemble Learning
Leyi Wei et al.
MOLECULAR THERAPY-NUCLEIC ACIDS (2018)
Imbalance learning for the prediction of N6-Methylation sites in mRNAs
Zhixun Zhao et al.
BMC GENOMICS (2018)
BERMP: a cross-species classifier for predicting m(6)A sites by integrating a deep learning algorithm and a random forest approach
Yu Huang et al.
INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES (2018)
DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning
Yiqian Zhang et al.
BMC BIOINFORMATICS (2018)
MethyRNA: a web server for identification of N6-methyladenosine sites
Wei Chen et al.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS (2017)
Identifying N6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine
Pengwei Xing et al.
SCIENTIFIC REPORTS (2017)
Improving N6-methyladenosine site prediction with heuristic selection of nucleotide physical-chemical properties
Ming Zhang et al.
ANALYTICAL BIOCHEMISTRY (2016)
TargetM6A: Identifying N6-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine
Guang-Qing Li et al.
IEEE TRANSACTIONS ON NANOBIOSCIENCE (2016)
Identifying N 6-methyladenosine sites in the Arabidopsis thaliana transcriptome
Wei Chen et al.
MOLECULAR GENETICS AND GENOMICS (2016)
SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features
Yuan Zhou et al.
NUCLEIC ACIDS RESEARCH (2016)
iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition
Wei Chen et al.
ANALYTICAL BIOCHEMISTRY (2015)
Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome
Bastian Linder et al.
NATURE METHODS (2015)
Identification and analysis of the N6-methyladenosine in the Saccharomyces cerevisiae transcriptome
Wei Chen et al.
SCIENTIFIC REPORTS (2015)
Transcriptome-wide high-throughput deep m6A-seq reveals unique differential m6A methylation patterns between three organs in Arabidopsis thaliana
Yizhen Wan et al.
GENOME BIOLOGY (2015)
iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition
Shou-Hui Guo et al.
BIOINFORMATICS (2014)
The dynamic epitranscriptome: N6-methyladenosine and gene expression control
Kate D. Meyer et al.
NATURE REVIEWS MOLECULAR CELL BIOLOGY (2014)
Internal mRNA Methylation Finally Finds Functions
Timothy W. Nilsen
SCIENCE (2014)
Unique features of the m6A methylome in Arabidopsis thaliana
Guan-Zheng Luo et al.
NATURE COMMUNICATIONS (2014)
High-Resolution Mapping Reveals a Conserved, Widespread, Dynamic mRNA Methylation Program in Yeast Meiosis
Schraga Schwartz et al.
CELL (2013)
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
Kate D. Meyer et al.
CELL (2012)
Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq
Dan Dominissini et al.
NATURE (2012)
Computational Identification of Protein Methylation Sites through Bi-Profile Bayes Feature Extraction
Jianlin Shao et al.
PLOS ONE (2009)
Modularity and community structure in networks
M. E. J. Newman
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2006)
分享论文
