Skip to Main Content

Paper Details

A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis.
PLoS Comput Biol
18
2016
AML, Acute Myeloid, Acute Myeloid Leukemia, hematological cancer, patient, patients
Algorithms, Amyotrophic Lateral Sclerosis, Biomarkers, Crowdsourcing, Humans, Outcome and Process Assessment, Health Care, Proteome, Reproducibility of Results, Risk Assessment, Sensitivity and Specificity, Treatment Outcome
Author NameAffiliation
David P NorenRice University
Byron L LongRice University
Raquel Norel
Kahn Rhrissorrakrai
Kenneth R HessThe University of Texas MD Anderson Cancer Center
Kenneth R HessThe University of Texas MD Anderson Cancer Center
Wendy HuRice University
Alex J BisbergRice University
Andre SchultzRice University
Erik EngquistRice University
Li LiuArizona State University
Xihui LinOntario Institute for Cancer Research
Gregory M ChenOntario Institute for Cancer Research
Hong XieOntario Institute for Cancer Research
Geoffrey A M HunterOntario Institute for Cancer Research
Paul C BoutrosOntario Institute for Cancer Research
Paul C BoutrosUniversity of Toronto
Oleg A StepanovInstitute for Systems Biology
Thea Norman
Stephen H Friend
Gustavo Stolovitzky
Gustavo StolovitzkyIcahn School of Medicine at Mount Sinai
Gustavo Stolovitzky
Gustavo StolovitzkyIcahn School of Medicine at Mount Sinai
Steven M KornblauThe University of Texas MD Anderson Cancer Center
Amina A QutubRice University
  • 1 - 26

Datasets

Release 1.2