Pinned Repositories
CAT-Connectome
Collection of files used by the Connectome Annotation Team (CAT)
CAT-work
codeathon_vcf
covid_sequence_processing
Covid preprocessing pipeline for UVA MSDS Capstone
ETA
Exploratory Text Analytics
GenoTools
A suite of tools for processing genotype data. Includes calling genotypes from .idat to plink (ped), sample/case-control variant QC steps, ancestry estimation. UNDER DEVELOPMENT
Hands-On-Data-Analysis-with-Pandas
Materials for following along with Hands-On Data Analysis with Pandas.
LearningSparkV2
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
linear_algebra_demos
Python demos for Math15A at Brandeis University
masif
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
alvaradocx's Repositories
alvaradocx/CAT-Connectome
Collection of files used by the Connectome Annotation Team (CAT)
alvaradocx/CAT-work
alvaradocx/codeathon_vcf
alvaradocx/covid_sequence_processing
Covid preprocessing pipeline for UVA MSDS Capstone
alvaradocx/ETA
Exploratory Text Analytics
alvaradocx/GenoTools
A suite of tools for processing genotype data. Includes calling genotypes from .idat to plink (ped), sample/case-control variant QC steps, ancestry estimation. UNDER DEVELOPMENT
alvaradocx/Hands-On-Data-Analysis-with-Pandas
Materials for following along with Hands-On Data Analysis with Pandas.
alvaradocx/LearningSparkV2
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
alvaradocx/linear_algebra_demos
Python demos for Math15A at Brandeis University
alvaradocx/masif
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
alvaradocx/Masters
alvaradocx/neovis.js
Neo4j + vis.js = neovis.js. Graph visualizations in the browser with data from Neo4j.
alvaradocx/OmicSynth_Functional
alvaradocx/STAT-6021-Project-2
alvaradocx/text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.