<jupyter_start><jupyter_text>Add DESeq2 values to metadata table<jupyter_code>import pandas as pd
import os<jupyter_output><empty_output><jupyter_text>Inputs<jupyter_code>met_path = '/mnt/rnaseq-cancer/Metadata/tcga_gtex_metadata_intersect.tsv'
met = pd.read_csv(met_path, sep='\t', index_col=0)<jupyter_output><empty_output><jupyter_text>Add DESq2 outputs<jupyter_code>output_dir = '../../1-Data-Collection-and-Processing/DESeq2-Runs/output/'

met.head()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1360824742268041, 'fraction_numerical': 0.010309278350515464, 'mean_word_length': 9.340425531914894, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '115353', 'license': 'Apache-2.0', 'n_tokens_mistral': 197, 'n_tokens_neox': 195, 'n_words': 20, 'path': 'Data-Collection-and-Processing/Metadata-collation/metadata-with-deseq2-values.ipynb', 'repo_name': 'jvivian/Actionable-Subtypes-Manuscript', 'size': '485'}