hasihays Goto Github PK
Name: Hasi Hays (PhD)
Type: User
Company: University of Arkansas
Bio: Computational Systems Biology, Systems Medicine
Twitter: hasihays
Location: Fayetteville, Arkansas, USA
Name: Hasi Hays (PhD)
Type: User
Company: University of Arkansas
Bio: Computational Systems Biology, Systems Medicine
Twitter: hasihays
Location: Fayetteville, Arkansas, USA
Survival and drug response prediction for BRCA patients
A Flask based web application to predict breast cancer.
Classification of Breast Cancer diagnosis Using Support Vector Machines
A novel self-supervised feature extraction method using omics data is proposed which improves classification in most of the classifiers.
A text-based computational framework for patient -specific modeling for classification of cancers. iScience (2022).
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
A complete guide for analyzing bulk RNA-seq data. Go from raw FASTQ files to mapping reads using STAR and differential gene expression analysis using DESeq2, using example data from Guo et al. 2019.
Assignments for Machine Learning & Data Assimilation, Winter 2022
A repository for Jupyter Notebooks associated with Vanderbilt's Cancer Systems Biology course
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
cBioPortal for Cancer Genomics
build scripts for CC3D - used to automatize CC3D buids
User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins
Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)
inferring cell-cell communication from scRNA-seq of ligand-receptor
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
Single Cell Classification using RNA-seq data and Supervised Learning Algorithms
Create thumbnails of cells in a given image.
Training of logic models of signalling networks using prior knowledge networks and perturbation data.
Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data.
Disentangling biological signal from experimental noise in cellular images.
Identify major cellular signals in bulk transcriptomes
This toolbox includes routines for using principal component analysis (PCA)
Generate the UMI count matrix from CEL-Seq2 sequencing data
Analysis of epigenetic signals captured by fragmentation patterns of cell-free DNA
CGView.js creates interactive circular and linear genome maps.
API for interacting with ChatGPT and GPT4 using Python and from Shell.
Facilitates searching, screening, and organizing large chemical databases
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.