syukriyansyah-ipb

syukriyansyah-ipb's Stars

• RajendraAVerma/e-commerce-nextjs

  Full Stack E-Commerce Website with Next.js 14, Tailwind, Firebase, Stripe & Algolia

  Language:JavaScript2711

• compgenome365/TCGA-Assembler-2

  TCGA-Assembler 2

  Language:R7532

• dhimmel/sematch

  semantic similarity framework for knowledge graph

  1

• Mahmoud-Elbattah/Ontology_GraphDB

  Storage and query of ontologies using Neo4J graph database.

  Language:C#1

• covid-19-net/covid-19-community

  Community effort to build a Neo4j Knowledge Graph (KG) that links heterogeneous data about COVID-19

  Language:Jupyter Notebook12077

• sbl-sdsc/kg-import

  kg-import automates the ingestion of heterogeneous datasets into a Knowledge Graph.

  Language:Jupyter Notebook54

• ontodev/robot

  ROBOT is an OBO Tool

  Language:Java26374

• RTXteam/RTX-KG2

  Build system for the RTX-KG2 biomedical knowledge graph, part of the ARAX reasoning system (https://github.com/RTXTeam/RTX)

  Language:Python388

• ckoenigs/PharMeBINet

  Build PharMeBINet from different sources.

  Language:Python122

• sbl-sdsc/kg-onto

  Create Node and Relationship files from BioPortal ontologies for import into Property Graphs

  Language:Jupyter Notebook11

• EBISPOT/OLS

  Ontology Lookup Service from SPOT at EBI

  Language:JavaScript9741

• rcolinp/clinical_informatics_umls

  An exploratory, tutorial and analytical view of the Unified Medical Language System (UMLS) & the software/technologies provided via being a free UMLS license holder. This repo will subset 2021AB UMLS native release, introduce/build upon UMLS provided tools to load a configured subset into first a relational database --> MySQL, SQLite, PostgreSQL and MariaDB all covered within this repo. Next the UMLS subset which is stored in a relational DB will be queried, modeled and lastly loaded into a defined Neo4j label property graph. Lastly, Neo4j database containing UMLS 2021AB subset in schema promoting intuitive analysis and rich visualization will become the central datastore for analysis. The datastore contains ~5 million distinct nodes & >40 million distinct relationships (edges). Currently, Neo4j is running via Docker but deployment options are NOT limited to Docker. If choosing to deploy via Neo4j Aura, server, Neo4j Desktop, VM etc... Please note and be aware of the specific volumes and environment variables specified within this repository (docker run). The ability for the loaded Neo4j Graph to interact with RDF data (i.e. import/export RDF data to and from Neo4j) may not be possible via all Neo4j deployment avenues (i.e. Neo4j Aura currently does not support RDF integration that is demonstrated in this repository).

  Language:Python362

• SciGraph/SciGraph

  A Neo4j backed ontology store

  Language:Java21948

• greenelab/hetontology

  Biological ontologies as hetnets in Neo4j

  Language:Shell74

• dakindre/Multi-Label-Image-Ontology

  Multi-Label Image Classifier and Graphical Database Ontology in Neo4j

  Language:Jupyter Notebook31

• melissachamary/ontologyToNeo4J

  Usefull function and scripts to rebuild ontology in a neo4J graph.

  Language:R1

• AgriculturalSemantics/agro

  AgrO describes agronomic practices, techniques, and variables used in agronomic experiments.

  Language:Python5217

• DiseaseOntology/HumanDiseaseOntology

  Repository for the Human Disease Ontology.

  Language:Makefile347108

• hdinkel/ppisnd

  Course material for "Computational analysis of protein-protein interactions: Sequences, networks and diseases"

  Language:CSS38

• dhimmel/ppi

  Compiling human protein–protein interactions

  Language:Jupyter Notebook34

• scastlara/ppaxe

  Text mining tool to retrieve protein-protein interactions from the scientific literature.

  Language:Python135

• sarvang00/DiseasePredictingSystem

  A project wehere we use clustering algorithms on patient symptoms and predict a disease from commonly occurring diseases.

  Language:Jupyter Notebook1

• masashitsubaki/CPI_prediction

  This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional neural network (CNN) for proteins.

  Language:Python15936

• zjunlp/OntoProtein

  [ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding

  Language:Python14422

• tbepler/protein-sequence-embedding-iclr2019

  Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

  Language:Python25975

• nadavbra/pwas

  Proteome-Wide Association Study

  Language:Python424

• kexinhuang12345/DeepPurpose

  A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

  Language:Jupyter Notebook978272

• dgg32/kegg_disease

  Language:Python127

• LeoBman/HSDN

  Maps symptom and disease terms to MeSH IDs

  186

• jaredhuling/personalized

  Methods for subgroup identification / personalized medicine / individualized treatment rules

  Language:R3117