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SolisLemus lab projects's Projects

bioklustering icon bioklustering

BioKlustering: a web app for semi-supervised learning of maximally unbalanced genomic data

colonization-squid icon colonization-squid

Studying the colonization factors of bacteria in squid (in collaboration with Mark Mandel)

dna-nn icon dna-nn

Machine-learning methods (in particular neural networks) on DNA sequence input data for microbial datasets (in collaboration with Tim Read and Sam Brown)

dna-nn-theory icon dna-nn-theory

Here, we investigate the robustness, generalization potential and prediction accuracy of widely used convolutional neural network and natural language processing models with a variety of heterogeneous genomic datasets.

el-zoominario icon el-zoominario

El Zoominario: seminar series to increase visibility of Latinx in STEM

highdimmixedmodels.jl icon highdimmixedmodels.jl

Julia package for fitting regularized linear mixed-effect models on high-dimensional omics data.

lab-dynamics icon lab-dynamics

Useful documents on guidelines, advice, resources for the lab

learning-data-science icon learning-data-science

Learning materials for Data Science within biological applications such as WI Fast Plants: https://fastplants.org/

minaa icon minaa

MiNAA aligns a pair of networks based their topologies and biologies.

minaa-webapp icon minaa-webapp

The MiNAA Web App is a wrapper around MiNAA built with R Shiny.

potato-lankau icon potato-lankau

Potato dataset: statistical and machine learning analyses in collaboration with Rick Lankau

potato-seed-cert icon potato-seed-cert

Data analysis and visualization for the WI potato seed certification database

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