iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.
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2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function.Molecular classification of prostate adenocarcinoma by the integrated somatic mutation profiles and molecular networkA-to-I editing in human miRNAs is enriched in seed sequence, influenced by sequence contexts and significantly hypoedited in glioblastoma multiforme.Prediction of presynaptic and postsynaptic neurotoxins by combining various Chou's pseudo components.Pse-Analysis: a python package for DNA/RNA and protein/ peptide sequence analysis based on pseudo components and kernel methods.Genome-Wide Prediction of DNA Methylation Using DNA Composition and Sequence Complexity in HumanIonchanPred 2.0: A Tool to Predict Ion Channels and Their Types.iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide compositionSmall molecular floribundiquinone B derived from medicinal plants inhibits acetylcholinesterase activity.Prediction of the aquatic toxicity of aromatic compounds to tetrahymena pyriformis through support vector regression.iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals.iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC.2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications.Rama: a machine learning approach for ribosomal protein prediction in plants.MLACP: machine-learning-based prediction of anticancer peptides.LPI-NRLMF: lncRNA-protein interaction prediction by neighborhood regularized logistic matrix factorization.Assessing the Performances of Protein Function Prediction Algorithms from the Perspectives of Identification Accuracy and False Discovery Rate.iDNAProt-ES: Identification of DNA-binding Proteins Using Evolutionary and Structural Features.A Novel Modeling in Mathematical Biology for Classification of Signal Peptides.DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest.Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams.A Novel Hybrid Sequence-Based Model for Identifying Anticancer Peptides.AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest.Identifying RNA N6-Methyladenosine Sites in Escherichia coli Genome.Recent Advances in Identification of RNA Modifications.Accurate identification of RNA editing sites from primitive sequence with deep neural networks.iRNA-3typeA: Identifying Three Types of Modification at RNA's Adenosine Sites.70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features.iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC.Implications of Newly Identified Brain eQTL Genes and Their Interactors in Schizophrenia.A Comprehensive In Silico Method to Study the QSTR of the Aconitine Alkaloids for Designing Novel Drugs
P2860
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P2860
iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.
@en
iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.
@nl
type
label
iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.
@en
iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.
@nl
prefLabel
iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.
@en
iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.
@nl
P2093
P2860
P356
P1433
P1476
iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.
@en
P2093
P2860
P304
P356
10.18632/ONCOTARGET.13758
P407
P577
2016-12-01T00:00:00Z