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PK's Projects

awesome-deepbio icon awesome-deepbio

A curated list of awesome deep learning applications in the field of computational biology

creme-nn icon creme-nn

https://www.biorxiv.org/content/10.1101/2023.07.03.547592v1

deepomics icon deepomics

deep learning toolkit (written on top of tensorflow) to streamline computational biology analysis

evoaug icon evoaug

Evolution-inspired data augmentations for PyTorch-based models for regulatory genomics

evoaug-tf icon evoaug-tf

Evolution-inspired data augmentations for TensorFlow-based models for regulatory genomics

exponential_activations icon exponential_activations

"Improving representations of genomic sequence motifs in convolutional networks with exponential activations" by Koo and Ploenzke (https://doi.org/10.1101/2020.06.14.150706)

gopher icon gopher

Toolset for training quantitative sequence to function models.

learning_sequence_motifs icon learning_sequence_motifs

"Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy

mlebic icon mlebic

maximum likelihood diffusion analysis for single particle trajectories undergoing (non-)normal diffusion with Bayesian model selection (http://arxiv.org/abs/1608.01419)

odie-tools icon odie-tools

command line tools to process next generation sequencing data on Harvard's Odyssey cluster

pem icon pem

systems-level diffusion analysis for single particle tracks undergoing normal diffusion with no transitions between diffusion states (http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004297)

pemv2 icon pemv2

sytems-level diffusion analysis for single particle tracks undergoing normal/non-normal diffusion that can transition between diffusion states (https://journals.aps.org/pre/abstract/10.1103/PhysRevE.94.052412)

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