Uncovering correlated variability in epigenomic datasets using the Karhunen-Loeve transform
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A survey of best practices for RNA-seq data analysisfCCAC: functional canonical correlation analysis to evaluate covariance between nucleic acid sequencing datasets.Epigenomic annotation-based interpretation of genomic data: from enrichment analysis to machine learning.StereoGene: rapid estimation of genome-wide correlation of continuous or interval feature data.
P2860
Uncovering correlated variability in epigenomic datasets using the Karhunen-Loeve transform
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Uncovering correlated variabil ...... g the Karhunen-Loeve transform
@ast
Uncovering correlated variabil ...... g the Karhunen-Loeve transform
@en
Uncovering correlated variabil ...... g the Karhunen-Loeve transform
@en-gb
Uncovering correlated variabil ...... g the Karhunen-Loeve transform
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label
Uncovering correlated variabil ...... g the Karhunen-Loeve transform
@ast
Uncovering correlated variabil ...... g the Karhunen-Loeve transform
@en
Uncovering correlated variabil ...... g the Karhunen-Loeve transform
@en-gb
Uncovering correlated variabil ...... g the Karhunen-Loeve transform
@nl
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Uncovering correlated variabil ...... g the Karhunen-Loeve transform
@ast
Uncovering correlated variabil ...... g the Karhunen-Loeve transform
@en
Uncovering correlated variabil ...... g the Karhunen-Loeve transform
@en-gb
Uncovering correlated variabil ...... g the Karhunen-Loeve transform
@nl
P2860
P1433
P1476
Uncovering correlated variabil ...... g the Karhunen-Loeve transform
@en
P2093
Paweł Krajewski
P2860
P2888
P356
10.1186/S13040-015-0051-7
P407
P577
2015-01-01T00:00:00Z
P5875
P6179
1028113371