DNA Data Bank of Japan held the DDBJ Data Analysis Challenge from July 6 through August 31, 2016. The DDBJ Data Analysis Challenge is a machine learning competition using “‘International Nucleotide Sequence Database”, corresponding to life science big data provided by DDBJ, EBI, and NCBI. Participants need to submit their generated machine learning models to a collaborative website, UnivOfBigData. This time challenge task is “Predicting chromatin features from DNA sequence” . There were a total of 38 participants with cumulative total of 360 model submissions. We announce the top 3 Award Winners and the Student Prize winner who is the top of all student participants in DDBJ Data Analysis Challenge 2016.
DDBJ Data Analysis Challenge 2016 Award Winners
|1st Prize of DDBJ Challenge Awards 2016||Information and Mathematical Science and Bioinformatics Co., Ltd.
|2nd Prize of DDBJ Challenge Awards 2016||RIKEN ACCC Bioinformatics Research Unit
MATSUMOTO Hirotaka(representative*), OZAKI Haruka(*)
*They participated in this Challenge as a team.
|3rd Prize of DDBJ Challenge Awards 2016||BITS Co., Ltd.
|Student Prize of DDBJ Challenge Awards 2016||Master's Degree Program 1, Graduate School of Information Science and Technology, The University of Tokyo
|DDBJ Challenge Award||AUC||Model Design||Tool Version|
|1st Prize||0.94564||*2 Classifiers(Extremely Randomized Trees, CNN)
*External Data(Genomic Position, Gene Structure Annotation)
|2nd Prize||0.89859||*2 Classifiers(CNN, Product of Genomic Distance Decay Parameter and Nearest Training Data Output)
*External Data(Genomic Position)
|3rd Prize||0.85428||*7 Classifiers(Naive Bayes for Multivariate Bernoulli Models, Logistic Regression, Random Forest, Gradient Boosting, Extremely Randomized Trees, eXtreme Gradient Boosting, CNN)
*Ensemble Learning (Stacking)
|Student Prize||0.84318||*3 Classifiers(LeNet like CNN, DeepBind like CNN, Variable filter DeepBind like CNN)
*Ensemble Learning(Soft Voting)
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