SNooPer: a machine learning-based method for somatic variant identification from low-pass next-generation sequencing.
about
Whole-exome sequencing identified genetic risk factors for asparaginase-related complications in childhood ALL patients.Hemoglobin level, a prognostic factor for nasal extranodal natural killer/T-cell lymphoma patients from stage I to IV: A validated prognostic nomogram.A study on fast calling variants from next-generation sequencing data using decision tree.Prognostic value of cancer antigen -125 for lung adenocarcinoma patients with brain metastasis: A random survival forest prognostic model.A review of somatic single nucleotide variant calling algorithms for next-generation sequencing data.A machine learning model to determine the accuracy of variant calls in capture-based next generation sequencing.
P2860
SNooPer: a machine learning-based method for somatic variant identification from low-pass next-generation sequencing.
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
SNooPer: a machine learning-ba ...... ss next-generation sequencing.
@ast
SNooPer: a machine learning-ba ...... ss next-generation sequencing.
@en
type
label
SNooPer: a machine learning-ba ...... ss next-generation sequencing.
@ast
SNooPer: a machine learning-ba ...... ss next-generation sequencing.
@en
prefLabel
SNooPer: a machine learning-ba ...... ss next-generation sequencing.
@ast
SNooPer: a machine learning-ba ...... ss next-generation sequencing.
@en
P2093
P2860
P1433
P1476
SNooPer: a machine learning-ba ...... ss next-generation sequencing.
@en
P2093
Chantal Richer
Jasmine Healy
Jean-François Spinella
Manon Ouimet
Pamela Mehanna
Pauline Cassart
Ramon Vidal
Virginie Saillour
P2860
P2888
P356
10.1186/S12864-016-3281-2
P407
P577
2016-11-14T00:00:00Z
P6179
1025309832