michaelSkaro

sparce

A software resource to split a genomics, methylomics or trasncriptomics file into bins and select features within the bins using recursive feature elimination and machine learning

Mycorrhisee

Development space for the Image Segmentation project

artBio_consultation

Contract work for ArtBio

BINF8500

All projects in this rep. were developed for the algorithms course at UGA

chest-xray-pneumonia-clasifier

Image classification project: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

Classification_of_organotropic_metastases

Classification of organotropic metastases # Check out the wiki for model details # Check out the README for install

gatk-docs

Documentation archive for GATK tools and workflows

image_classification

image_preprocessing

metNet

metNet is a deep learning model to classify the primary tumor of origin from cancers of unknown primary. This model is based on selected features from illumina 450k array data. The model can be applied to illumina EPIC array data for classification. This model has *not* been tested on EPICv2 data

michaelSkaro

Config files for my GitHub profile.

Neurospora_crassa_transcriptomics

Characterizing the gene-environment interaction underlying natural morphological variation in Neurospora crassa conidiophores using high-throughput phenomics and transcriptomics

On_origin_of_the_pandemic

A statistical frame work for using genomic sequencing data from Sars-Cov-2 data to estimate the timeline and evolution of the Covid-19 global pandemic

nextflow_training

Training Exercises on Nextflow

snakemake-amplicon-metagenomics

Command line bioinformatics workflows, created with Snakemake workflow management tool.