Figure 6: Overview of methods and data used to solve the challenges.
From: Prediction of human population responses to toxic compounds by a collaborative competition
Overview of the input data, data reduction techniques, prediction algorithms and model validation techniques used by participants to solve the challenge. Participants were asked to fill out a survey in order to be included in this publication as part of the NIEHS-NCATS-UNC Dream Toxicogenetics challenge consortium; only data for teams that filled out the survey are shown here. Each row corresponds to a submission, and they are ordered based on the final rank for subchallenge 1 and subchallenge 2, respectively. Data originate from 75 filled-out surveys for subchallenge 1 (of 99 submissions) and 51 filled-out surveys for subchallenge 2 (of 80 submissions). This corresponds to 21 (of 34) teams for subchallenge 1 and 12 (of 23) for subchallenge 2.
