Machine learning approach for pooled DNA sample calibration.

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Machine learning approach for pooled DNA sample calibration.

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2015 nî lūn-bûn

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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Machine learning approach for pooled DNA sample calibration.

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Machine learning approach for pooled DNA sample calibration.

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Machine learning approach for pooled DNA sample calibration.

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Machine learning approach for pooled DNA sample calibration.

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Machine learning approach for pooled DNA sample calibration.

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Machine learning approach for pooled DNA sample calibration.

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P1476

Machine learning approach for pooled DNA sample calibration

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P2093

Andrew D Hellicar

http://www.w3.org/2001/XMLSchema#string

Daniel V Smith

http://www.w3.org/2001/XMLSchema#string

John M Henshall

http://www.w3.org/2001/XMLSchema#string

P2860

PPC: an algorithm for accurate estimation of SNP allele frequencies in small equimolar pools of DNA using data from high density microarrays.

Learning representations by back-propagating errors

Estimation of population allele frequencies from next-generation sequencing data: pool-versus individual-based genotyping.

SNP genotyping using the Sequenom MassARRAY iPLEX platform.

Cost-effective genome-wide estimation of allele frequencies from pooled DNA in Atlantic salmon (Salmo salar L.).

DNA Pooling: a tool for large-scale association studies.

High-resolution genomic profiling of chromosomal aberrations using Infinium whole-genome genotyping.

Estimating the effect of SNP genotype on quantitative traits from pooled DNA samples.

Use of pooled DNA samples to detect linkage disequilibrium of polymorphic restriction fragments and human disease: studies of the HLA class II loci.

The next generation of molecular markers from massively parallel sequencing of pooled DNA samples.

P2888

s12859-015-0593-1

P304

214

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P31

scholarly article

P356

10.1186/S12859-015-0593-1

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Ashfaqur Rahman

P577

2015-07-09T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

279990950

http://www.w3.org/2001/XMLSchema#string

P698

26156142

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P921

machine learning

P932

4495942

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