There is a newer version of the record available.

Published September 17, 2023 | Version 0.1.0

Phylogenetic Augmentation Data

  • 1. University of Toronto

Description

This entry contains input files used for the analysis from the paper "Improving the performance of supervised deep learning for regulatory genomics using phylogenetic augmentation" by Andrew G Duncan, Jennifer A Mitchell, and Alan M Moses. The code to run the analysis can be found at "https://github.com/agduncan94/phylogenetic_augmentation_paper"

Files

Basset_Sequences_Test.txt

Files (32.2 GB)

Name Size
md5:4336ba7f9d9b2b9b16ad414b3932ea88
29.1 GB Download
md5:7c0e57a885457ac70d3035aeb1b8975d
72.4 MB Preview Download
md5:9c520305598d85a139fb18532686ac34
1.9 GB Preview Download
md5:0d239961a2b376369dee2efb8d070160
72.4 MB Preview Download
md5:f5084106a7c67b640ef3150312312e9b
910.4 MB Preview Download
md5:bad014d53928fe20687d3191540b3251
13.5 MB Preview Download
md5:c6e7459148a53163e85fef81897627db
61.7 MB Preview Download
md5:29d350950eb28b457e37d269e95b6b04
13.2 MB Preview Download
md5:7bf575f067cde47999a7641e16afa2f3
4.3 kB Preview Download