Data are now live
- Each team must have a github handle associated with it in order to participate. Make sure you edit your registration or email the organizers to provide this, if you haven't yet.
- You may add team members up to noon EDT on 8/21 by editing your response to the google form or emailing the organizers.
- Teams of entirely undergraduates will be in the undergraduate division, else they will be in the open division.
- Predictions on test data set are submitted by pushing to
github. A repository with the name
Hackathon-Summer-2022
, owned by the team captain, will be queried for a file named prediction/prediction.csv. If the team captain forks this repository and writes predictions there everything should work (as long as the predictions are formatted correctly). - Predictions will be scored at least once daily, starting 8/23, with scores posted by noon. At the organizers' option, predictions may be scored more frequently than this.
- General questions/problems can be directed to issues page. We encourage other hackathon participants to respond to issues.
- The scoreboard will be located here, and will be updated starting noon on 8/23. We cannot provide support beyond the diagnostic output included on the scoreboard if an error is encountered in scoring your predictions.
- Interim scoring may employ forms of randomization (e.g. bootstrapping) from the test data set. The final scores will use all the data and not be randomized.
- Competition runs through 11:59 PM EDT 26-August-2022. The predictions each team has committed to their repository at that time will be used to determine their final score.
The goal of this hackathon is to predict gene expression differences based on various features of genome sequences. Gene expression (transcript or mRNA abundance) is transcription of DNA into RNA and is determined by DNA sequence features around each gene, primarily but not exclusively transcription factor binding sites in promoter regions upstream of genes. Changes in DNA sequences can thus result in differences in gene expression. Individuals (e.g. humans or yeast strains) often show differences in gene expression. A major challenge to understanding phenotypic variation within a species, including human disease, is identifying DNA sequence changes that affect gene expression.
- The data are described in Data.Description.
- Training data are here.
- Test data are here, and are the same format as train data.
- Your predictions should be in the order of the sample_id column
SGD
listed here. The first column will be examined, regardless of column name. No join is performed on theSGD
column.
- First place in each division: $300 + $75*(team size)
- Second place in each division: 0 + $50*(team size)
- Predictions will be scored based on mean square error, lower values are better.
- In order to claim your prize, you will need to fill out a post-competition survey that will be available on 8/26.
In addition, winning teams will have the opportunity to present their solutions at a meeting of participants and faculty this fall. All teams that submit predictions may receive a participation certificate and teams beating random guessing are eligible for a participation prize to be announced after the completion of the hackathon.