Detecting N6-methyladenosine sites from RNA transcriptomes using ensemble Support Vector Machines.
about
A-to-I editing in human miRNAs is enriched in seed sequence, influenced by sequence contexts and significantly hypoedited in glioblastoma multiforme.IonchanPred 2.0: A Tool to Predict Ion Channels and Their Types.Prediction of N-linked glycosylation sites using position relative features and statistical moments.The landscape of DNA methylation-mediated regulation of long non-coding RNAs in breast cancer.PSFM-DBT: Identifying DNA-Binding Proteins by Combing Position Specific Frequency Matrix and Distance-Bigram Transformation.Identifying N6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine.Optimal experimental conditions for Welan gum production by support vector regression and adaptive genetic algorithmGlypre: In Silico Prediction of Protein Glycation Sites by Fusing Multiple Features and Support Vector Machine.LncRNA Structural Characteristics in Epigenetic Regulation.RNA methylation and diseases: experimental results, databases, Web servers and computational models.ProtDec-LTR2.0: an improved method for protein remote homology detection by combining pseudo protein and supervised Learning to Rank.Special Protein Molecules Computational Identification.Identifying RNA N6-Methyladenosine Sites in Escherichia coli Genome.Recent Advances in Identification of RNA Modifications.Transcriptome-Wide Annotation of m5C RNA Modifications Using Machine Learning.70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features.PrESOgenesis: A two-layer multi-label predictor for identifying fertility-related proteins using support vector machine and pseudo amino acid composition approach.Identifying Phage Virion Proteins by Using Two-Step Feature Selection MethodsImbalance learning for the prediction of N-Methylation sites in mRNAs
P2860
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P2860
Detecting N6-methyladenosine sites from RNA transcriptomes using ensemble Support Vector Machines.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
Detecting N6-methyladenosine s ...... emble Support Vector Machines.
@en
type
label
Detecting N6-methyladenosine s ...... emble Support Vector Machines.
@en
prefLabel
Detecting N6-methyladenosine s ...... emble Support Vector Machines.
@en
P2093
P2860
P356
P1433
P1476
Detecting N6-methyladenosine s ...... emble Support Vector Machines.
@en
P2093
P2860
P2888
P356
10.1038/SREP40242
P407
P577
2017-01-12T00:00:00Z