Partially embedded in Polyphenols Promote Stem Cell Surface Adaptation onto low-adhesion Chitosan-Titanium Through Protein Synthesis, Cytoskeletal Remodeling, and Potential Anti-Inflammatory Effects
The collection encloses a data science investigation based on the following scripts:
- File Bovine data for ML_TEST.py performs PCA on bovine_ML.xlsx
- File bovine_for_ML.py creates bovine_ML.xlsx
- File common_on_bovine2.py performs ML tests on bovine_ML.xlsx
- File common_on_bovine3.py runs ML-related analysis on bovine_ML.xlsx
- File dim_red1.py is a routine for dimensionality reduction and stats calculation on Human or Bovine data using data in Human_ML2,Bovine_ML2,Bovine_and_Human2,Human_ML3,Bovine_ML3,Bovine_and_Human3,BovineFC,Bovine_and_Human4,Bovine_ML4 csv files
- File dim_red2.py runs clustering and visualizations on low-dimwnsional data
- File dim_red3.py for clustering results evalution
- File human_preproc.py contains preprocessing and reorganization of the raw data
- File merge_H_B.py is for additional data management script
- File merge_H_B_ver1.py script for data restructuration
- File ortho_bov_human_ver1.py analyzes data for anomaly detection and wordcloud visualization (data Bovine_and_Human3)
- File ortho_bov_human_ver2.py is for gene ontology (data in Bovine_and_Human3)
- File ortho_bov_human_ver3.py is a script for gene ontology terms summarization (data is the output from ortho_bov_human_ver2.py)
- File orthologs_ver1.py script of orthologs computation
- File orthologs_ver2.py manages orthologous genes outcomes can creates tables
- File orto_study_PCA.py is for outliers analysis and visualization (data BovineFC, Bovine_ML4, Bovine_and_Human4)
- File umap1.py contains a UMAP dimensionality reduction analuysis on bovine_ML.xlsx
- File umap2.py tests clustering on umap based low dimensional embeddings (data bovine_ML.xlsx)
- File venn_bovine.py creates Venn diagrams on low-dimensional embeddings outliers