dakota-hawkins
Ph.D. in Bioinformatics from Boston University. Interested in creating tools for robust analysis of biological data.
Boston, Massachusetts
Pinned Repositories
icat
Identifying Cell-states Across Treatments
ncfs
Modified NCFS algorithm for neighbor-based feature selection
awesome-single-cell
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
ComputerVision
Repo for CS585 at Boston University
EssentialCpp
Exercises and Code from Essential C++ Textbook
intensipy
Normalize intensity values in 3D image stacks
MathBio
Code from my Mathematical Biology class at the University of Utah. Files are numerical solutions to applied PDE models in biology.
mendel
Genetic Aglorithm framework in Python.
pytorch_fun
New boot goofin with PyTorch
yamada
Python implementation of the Yamada-Kataoka-Watanabe algorithm to find all minimum spanning trees in an undirected graph.
dakota-hawkins's Repositories
dakota-hawkins/yamada
Python implementation of the Yamada-Kataoka-Watanabe algorithm to find all minimum spanning trees in an undirected graph.
dakota-hawkins/EssentialCpp
Exercises and Code from Essential C++ Textbook
dakota-hawkins/intensipy
Normalize intensity values in 3D image stacks
dakota-hawkins/mendel
Genetic Aglorithm framework in Python.
dakota-hawkins/awesome-single-cell
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
dakota-hawkins/ComputerVision
Repo for CS585 at Boston University
dakota-hawkins/NCFS
Python implementation of Neighborhood Component Feature Selection (NCFS).
dakota-hawkins/pytorch_fun
New boot goofin with PyTorch
dakota-hawkins/AI
Work for CS640 at Boston University
dakota-hawkins/dakota-hawkins.github.io
Repository for personal Github Pages
dakota-hawkins/flex
A responsive, flexible, Jekyll theme based on The Development's first design.
dakota-hawkins/FuzzyCliq
For CompBio
dakota-hawkins/gnn_penn
Repo for becoming familiar with graphical neural networkshttps://gnn.seas.upenn.edu/lectures/lecture-1/
dakota-hawkins/Graph_Sampling
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
dakota-hawkins/LaPreprint
📝 A nicely formatted LaTeX preprint template
dakota-hawkins/leidenalg
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
dakota-hawkins/littleballoffur
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
dakota-hawkins/LM_filter_bank_python_code
Python code for generating Leung-Malik (LM) filter bank that is typically used in texture analysis and classification.
dakota-hawkins/louvain-igraph
Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.
dakota-hawkins/napari-oif
Napari plugin to read Olympus Image Formats images into napari
dakota-hawkins/python-louvain
Louvain Community Detection
dakota-hawkins/snakemake-tutorial
Tutorial for snakemake/computation pipelines for BF528.
dakota-hawkins/snakemake-workshop
Worklflow managers are good mkay
dakota-hawkins/SongAnnotation
dakota-hawkins/StatisticalLearning
Repository to learn Julia by implementing algorithms described in "The Elements of Statistical Learning: Data Mining, Inference, and Prediction" Second Edition by Trevor Hastie, Robert Tibshirani, and Jerome Friedman.
dakota-hawkins/tn_test
post-clustering differential expression test
dakota-hawkins/TranscriptomeAssemblyTools
A collection of scripts for processing fastq files in ways to improve de novo transcriptome assemblies, and for evaluating those assemblies.
dakota-hawkins/urchin_cisTarget
Workflow to generate cisTarget database for urchins
dakota-hawkins/XcodeSettings
dakota-hawkins/ZIFA
Zero-inflated dimensionality reduction algorithm for single-cell data