indrikwijaya's Projects
Notebooks from Approaching (Almost) Any Machine Learning Problem - Abhishek Thakur
A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks. It may be biased towards my lab interest.
minimal example implementations for bioinformatics workflow managers
Code for UCSD Bioinformatics Coursera
Contains various methods and examples for Computational Drug Discovery
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Contains various implementations of different Deep Learning Algorithms for Life Science problems
Different possible analysis for Epigenomics data
This repo contains relevant files for my final year project in NUS (2018).
Config files for my GitHub profile.
Minimal portfolio for DS projects
This repo contains google colab notebooks for the homework exercises from Leslie Kabling's 'Intro to Machine Learning' course.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Contains lecture notes, sectional materials and exercises from Prof Sean Eddy's course
Contains examples of workflow for Metabolomics analysis
Different notebooks containing analysis of Microbiome data
Andrew Ng's Machine Learning Coursera Assignments
Contains solutions for exercises from the book Modern Statistics for Modern Biology (Susan Holmes & Wolfgang Huber)
Contains different tools used for Multi-omics integration and analysis
Nextflow Pipeline to Run Taxonomic Classifier, Functional Annotation and Resistome Analysis for Short Shotgun Metagenomics Reads
This repo contains different notebooks from the book 'Hands-On Machine Learning with Scikit-Learn & TensorFlow'
Scripts to run end-to-end RNAseq pipeline (from fastq to RPKM files)
Contains materials for 'Programming for Lovers (P4L)' using GO by Phillip Compeau
Contains an example of workflow for Proteomics analysis
Contains example steps to run RNAseq analysis
Contains various notebooks & scripts involved in scRNA-seq analysis
Computational biology utility scripts