DIRECTION: A machine learning framework for predicting and characterizing DNA methylation and hydroxymethylation in mammalian genomes.
about
A Novel Computational Method for Detecting DNA Methylation Sites with DNA Sequence Information and Physicochemical Properties.A Review of Matched-pairs Feature Selection Methods for Gene Expression Data AnalysisCombining DNA methylation and RNA sequencing data of cancer for supervised knowledge extraction
P2860
DIRECTION: A machine learning framework for predicting and characterizing DNA methylation and hydroxymethylation in mammalian genomes.
description
2017 nî lūn-bûn
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2017年の論文
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2017年学术文章
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name
DIRECTION: A machine learning ...... hylation in mammalian genomes.
@en
type
label
DIRECTION: A machine learning ...... hylation in mammalian genomes.
@en
prefLabel
DIRECTION: A machine learning ...... hylation in mammalian genomes.
@en
P2093
P2860
P356
P1433
P1476
DIRECTION: A machine learning ...... hylation in mammalian genomes.
@en
P2093
Aaron Kotamarti
Kristina Pavlovic
Michael Q Zhang
Milos Pavlovic
Pradipta Ray
P2860
P304
P356
10.1093/BIOINFORMATICS/BTX316
P407
P50
P577
2017-05-12T00:00:00Z