Pinned Repositories
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
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
Mycorrhisee
Development space for the Image Segmentation project
Neurospora_crassa_transcriptomics
Characterizing the gene-environment interaction underlying natural morphological variation in Neurospora crassa conidiophores using high-throughput phenomics and transcriptomics
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
michaelSkaro's Repositories
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
michaelSkaro/Mycorrhisee
Development space for the Image Segmentation project
michaelSkaro/artBio_consultation
Contract work for ArtBio
michaelSkaro/BINF8500
All projects in this rep. were developed for the algorithms course at UGA
michaelSkaro/chest-xray-pneumonia-clasifier
Image classification project: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia
michaelSkaro/Classification_of_organotropic_metastases
Classification of organotropic metastases # Check out the wiki for model details # Check out the README for install
michaelSkaro/gatk-docs
Documentation archive for GATK tools and workflows
michaelSkaro/image_classification
michaelSkaro/image_preprocessing
michaelSkaro/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/michaelSkaro
Config files for my GitHub profile.
michaelSkaro/Neurospora_crassa_transcriptomics
Characterizing the gene-environment interaction underlying natural morphological variation in Neurospora crassa conidiophores using high-throughput phenomics and transcriptomics
michaelSkaro/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
michaelSkaro/nextflow_training
Training Exercises on Nextflow
michaelSkaro/snakemake-amplicon-metagenomics
Command line bioinformatics workflows, created with Snakemake workflow management tool.