Performance on C. elegans challenge's training data

Source: https://github.com/Lineage-Reconstruction-DREAM-Challenge/C2_C3_training_data_performance

Comparing the performance on the training data for Challenge 2.

For the performance on the Challenge 2 training data, please upload a tab-delimited file with three columns:

1. sample ID (from 1 to 100)
2. normalized RF distance
3. normalized triplet distance between the ground truth tree and predicted tree

• K-mer replacement distance (Kwak_Gong): challenge=C2_group=Kwak_Gong.v2.tsv
• GuanLab: challenge=C2_group=GuanLab.tsv
• Jingyuan: challenge=C2_group=Jingyuan_Hu.tsv
• Weighted hamming (Kwak_Gong): challenge=C2_group=Kwak_gong_weighted_hamming_TreeCmp.tsv
• Yosef Lab: challenge=C2_group=MJ.tsv
• Renata's method: challenge=C2_group=AMbeRland.tsv

Script for computing the RF distance and triplet distance between groud truth tree and predicted tree: https://github.com/Sage-Bionetworks/Allen-DREAM-Challenge/blob/master/Docker/score.py

Example notebook for computing RF distance and triplet distance using TreeCmp: https://github.com/ofirr/dream_examples/blob/master/treecmp_comparison_example.ipynb

Notebook for comparing the performance on Challenge 2 training data: compare_performance_on_C2_training_data.ipynb.