[HTML][HTML] Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection
The detection of somatic mutations from cancer genome sequences is key to understanding
the genetic basis of disease progression, patient survival and response to therapy …
the genetic basis of disease progression, patient survival and response to therapy …
Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection.
AD Ewing, KE Houlahan, Y Hu, K Ellrott… - Nature …, 2015 - escholarship.org
The detection of somatic mutations from cancer genome sequences is key to understanding
the genetic basis of disease progression, patient survival and response to therapy …
the genetic basis of disease progression, patient survival and response to therapy …
Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection.
AD Ewing, KE Houlahan, Y Hu, K Ellrott, C Caloian… - Nature …, 2015 - europepmc.org
The detection of somatic mutations from cancer genome sequences is key to understanding
the genetic basis of disease progression, patient survival and response to therapy …
the genetic basis of disease progression, patient survival and response to therapy …
Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection
AD Ewing, KE Houlahan, Y Hu, K Ellrott… - Nature …, 2015 - ohsu.elsevierpure.com
The detection of somatic mutations from cancer genome sequences is key to understanding
the genetic basis of disease progression, patient survival and response to therapy …
the genetic basis of disease progression, patient survival and response to therapy …
[HTML][HTML] Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection
AD Ewing, KE Houlahan, Y Hu, K Ellrott, C Caloian… - Nature …, 2015 - nature.com
The detection of somatic mutations from cancer genome sequences is key to understanding
the genetic basis of disease progression, patient survival and response to therapy …
the genetic basis of disease progression, patient survival and response to therapy …
Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection
AD Ewing, KE Houlahan, Y Hu, K Ellrott… - Nature …, 2015 - pubmed.ncbi.nlm.nih.gov
The detection of somatic mutations from cancer genome sequences is key to understanding
the genetic basis of disease progression, patient survival and response to therapy …
the genetic basis of disease progression, patient survival and response to therapy …
[引用][C] Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection
AD Ewing, KE Houlahan, Y Hu, K Ellrott… - Nature …, 2015 - espace.library.uq.edu.au
The detection of somatic mutations from cancer genome sequences is key to understanding
the genetic basis of disease progression, patient survival and response to therapy …
the genetic basis of disease progression, patient survival and response to therapy …
[引用][C] Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection
AD Ewing, KE Houlahan, Y Hu, K Ellrott, C Caloian… - Nature Methods, 2015 - cir.nii.ac.jp
Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant
detection | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 …
detection | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 …
[HTML][HTML] Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection
AD Ewing, KE Houlahan, Y Hu, K Ellrott… - Nature …, 2015 - ncbi.nlm.nih.gov
The detection of somatic mutations from cancer genome sequences is key to understanding
the genetic basis of disease progression, patient survival and response to therapy …
the genetic basis of disease progression, patient survival and response to therapy …
[PDF][PDF] Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection
AD Ewing, KE Houlahan, Y Hu, K Ellrott, C Caloian… - Nature - academia.edu
ANALYSIS tight feedback loops between prediction and evaluation, we generated three
subchallenges, each based on a different simulated tumor-normal pair with a completely …
subchallenges, each based on a different simulated tumor-normal pair with a completely …