pinglab-intern Goto Github PK
Name: Ping CV Data Science Training
Type: Organization
Bio: Intern and Student Projects at Ping T32 (UCLA)
Location: University of California, Los Angeles
Name: Ping CV Data Science Training
Type: Organization
Bio: Intern and Student Projects at Ping T32 (UCLA)
Location: University of California, Los Angeles
Ping Lab Intern Project, Summar, 2022: :octocat: Mapping MeSH (ICD codes) to molecular mechanism through protein-protein co-occurance graph -toward high precission medicine
Ping Lab Intern Project, Summar, 2022: :octocat: Building Named Entity Recognition model with fine tuning BioBERT - a data engineering approach
Ping Lab Intern Project, Summar, 2022: :octocat: Link prediction through Graph Neural Network (GNN) model over the Knowledgegraph in the interface of Cardiovascular Disease (CVD) and Drugs.
Samir (akre96): Implementation of the caseOLAP pipeline for mapping relationships between oxidative stress and drugs.
Match UnitRef Protein IDs to CVD disease categories with their corresponding CaseOLAP scores
Introduction to the project "Exploration of Covid Graph with CVD association" and important references (Summer and Fall of 2020)
Introduction to the project "Covid Graph exploration with CVD and Drug association" and important references. (Summer and winter of 2020)
:rocket: COVID19 Knowledgegraph Exploration with CV Entities (e.g., ICD, MeSH, Pathways, Proteins, Genes) by Maya Gupta (Summer and Fall 2020) :mortar_board:
:octocat: Documentation and starter code for drug-target-graph implementing CompoundDB4j.
creates a csv file with all of the cardiovascular drugs and all of their respective categories
By Irsyad: :octocat: The project documentation and codes in the study of ion-channel in OS-CVD categories implementing graph data API. Summer 2021.
BY Joseph: :octocat: The project documentation and codes in study of ion-channels over CVD and OS categories.
Exploratory data analysis of CaseOLAP scores of cardiac proteins.
Dibakar: Pinglab Intern Info
:rocket: Exploration of Molecular Mechanism following MeSH Descriptors by JASON (Wangjie Zheng), (Summer and Fall 2020) :mortar_board:
This repository contains the code and input data for the multi-omics proteomics integration project.
:rocket: NetworkAnalysis by Raghava
A Natural Language Processing project for automatically identifying which type of congenital heart defect is being described in a clinical case report. Created by Jun Bae in Summer 2020 while working with the Ping Lab (UCLA).
By Aaruchi: :octocat: A documentation for Oxidative Stress and CVD
Building a bioinformatics tool for generating a more reliable protein sequence database for Sus scrofa cardiac proteomics studies
Documentation
By Anirudh: :octocat: A study of Network and Graph in DRKG for the association of Cardiovascular Disease with Drugs and Pathways by Anirudh Eranki (Fall 2020)
Exploration of covidgraph for the association of Covid-19 with Cardiovascular Diseases and Age Group by Nic Chung (Fall 2020)
Extract disease data from PubTator Central for a given query (in this case, 'heart failure'). Link each disease with PMID and MESH ID for use in later projects.
Functions to retrieve and process annotations with PubTator API
:octocat: Documentation by Raghava
Project Documentation for Samir Akre's Fall Rotation in the Ping Lab
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