Pinned Repositories
Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
figeno
Tool for plotting sequencing data along genomic coordinates.
genemania
GeneMANIA helps you predict the function of your favourite genes and gene sets.
GMX_MMPB-GBSA
gmx_MMPBSA is a new tool based on AMBER's MMPBSA.py aiming to perform end-state free energy calculations with GROMACS files.
gpn
Genomic Pre-trained Network
machine-learning-specialization-andrew-ng
A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.
Online_R_learning
Online R learning for applied statistics
QuickDA
Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!
TCGA_analysis
XAI-for-bioinformatics
Explainable AI for Bioinformatics
Sarkaft's Repositories
Sarkaft/genemania
GeneMANIA helps you predict the function of your favourite genes and gene sets.
Sarkaft/http-rafalab.dfci.harvard.edu-pages-harvardx.html
Sarkaft/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
Sarkaft/machine-learning-specialization-andrew-ng
A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.
Sarkaft/QuickDA
Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!
Sarkaft/XAI-for-bioinformatics
Explainable AI for Bioinformatics
Sarkaft/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
Sarkaft/bcbio-nextgen
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Sarkaft/beiwe-backend
Beiwe is a smartphone-based digital phenotyping research platform. This is the Beiwe backend code
Sarkaft/CalliNGS-NF
GATK RNA-Seq Variant Calling in Nextflow
Sarkaft/Comp_Bio_Tutorials
Sarkaft/Complete-Linear-Algebra
Sarkaft/Data-Science-and-Machine-Learning-with-Python---Hands-On-
Code Repository for Data Science and Machine Learning with Python - Hands On!, Published by Packt
Sarkaft/Deep-Learning
In this repo, all about Deep Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Neural Network Architectures.
Sarkaft/goatools
Python library to handle Gene Ontology (GO) terms
Sarkaft/God-Level-Data-Science-ML-Full-Stack
A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
Sarkaft/grokking_algorithms
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
Sarkaft/GSEApy
Gene Set Enrichment Analysis in Python
Sarkaft/igv.js
Embeddable genomic visualization component based on the Integrative Genomics Viewer
Sarkaft/intermediate-python-training
Sarkaft/labs
Rmd source files for the HarvardX series PH525x
Sarkaft/large-language-models
Notebooks for Large Language Models (LLMs) Specialization
Sarkaft/machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
Sarkaft/mdsr-book.github.io
Website for Modern Data Science with R book
Sarkaft/mdsr2exercises
exercises for Modern Data Science with R
Sarkaft/Practical-Machine-Learning
Practical machine learning notebook & articles covers the machine learning end to end life cycle.
Sarkaft/Prompt-Engineering-for-Everybody-with-ChatGPT-and-GPT4
Prompt Engineering for Everybody with ChatGPT and GPT4, by Packt Publishing
Sarkaft/qtl
R/qtl: A QTL mapping environment
Sarkaft/sceasy
A package to help convert different single-cell data formats to each other
Sarkaft/scHumanNet
Analysis cell-type-specific functional gene network, with SCINET and HumanNetv3