about
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 networkPrediction of presynaptic and postsynaptic neurotoxins by combining various Chou's pseudo components.Prediction of nucleosome positioning by the incorporation of frequencies and distributions of three different nucleotide segment lengths into a general pseudo k-tuple nucleotide composition.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.Analysis of Bioactive Amino Acids from Fish Hydrolysates with a New Bioinformatic Intelligent System Approach.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.MLACP: machine-learning-based prediction of anticancer peptides.UltraPse: A Universal and Extensible Software Platform for Representing Biological Sequences.Protein sequence comparison and DNA-binding protein identification with generalized PseAAC and graphical representation.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.Heterodimer Binding Scaffolds Recognition via the Analysis of Kinetically Hot Residues.Identifying RNA N6-Methyladenosine Sites in Escherichia coli Genome.Recent Advances in Identification of RNA Modifications.iRNA-3typeA: Identifying Three Types of Modification at RNA's Adenosine Sites.Implications of Newly Identified Brain eQTL Genes and Their Interactors in Schizophrenia.SeqSVM: A Sequence-Based Support Vector Machine Method for Identifying Antioxidant Proteins.PseUI: Pseudouridine sites identification based on RNA sequence informationA Comprehensive In Silico Method to Study the QSTR of the Aconitine Alkaloids for Designing Novel DrugsiGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised treeImbalance learning for the prediction of N-Methylation sites in mRNAs
P2860
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P2860
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-PseU: Identifying RNA pseudouridine sites.
@en
iRNA-PseU: Identifying RNA pseudouridine sites.
@nl
type
label
iRNA-PseU: Identifying RNA pseudouridine sites.
@en
iRNA-PseU: Identifying RNA pseudouridine sites.
@nl
prefLabel
iRNA-PseU: Identifying RNA pseudouridine sites.
@en
iRNA-PseU: Identifying RNA pseudouridine sites.
@nl
P2093
P2860
P356
P1476
iRNA-PseU: Identifying RNA pseudouridine sites.
@en
P2093
P2860
P2888
P356
10.1038/MTNA.2016.37
P577
2016-01-01T00:00:00Z
P6179
1048235617