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
estrogen-related receptor gamma (ERRΞ³) is overexpressed in metastatic SCLC tumors, and it is positively associated with SCLC progression.
Signaling pathways underlying LTP in hippocampal CA1 pyramidal cells (Jedrzejewska-Szmek et al 2017)
Solution for subchallenge1 of 2019 DREAM Challenge: Single Cell Signaling in Breast Cancer.
Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
Compartmental differences in cAMP signaling pathways in hippocam. CA1 pyr. cells (Luczak et al 2017)
This is an agent-based model that illustrate the dynamics of T cell and Dendritic cell (DC) contacts time in the lymph node. This model contains two agents - T cell and dendritic cell uniformly distributed and enclosed in a cubic representation of a lymph node.
Integrative pathway enrichment analysis of multivariate omics data
A platform for systematic ADME evaluation of drug molecules, thereby accelerating the drug discovery process.
Management of our curated AFM software list
I have completed this specialization from Coursera by deeplearning.ai. I have uploaded the solutions of the assignments in this repo.
Trading signals and cryptocurrency trading tool for Binance Futures
R code for the ARIMA analysis of AIDS/HIV incidence and death data in China
Imputation method for scRNA-seq based on low-rank approximation
prediction of marker genes for cell typing and spatial gradients from scRNA-seq
(Linux and macOS) AMDock: Assisted molecular docking with AutoDock4 and AutoDockVina
Convert between AnnData and SingleCellExperiment
Annotatability, a method to identify meaningful patterns in single-cell genomics data through annotation-trainability analysis, which estimates annotation congruence using a rich but often overlooked signal, namely the training dynamics of a deep neural network.
Enrichment Networks for Pathway Enrichment Analysis
This paper discusses about the progress AI has made in the healthcare domain and what the future of AI looks like. It also discusses about the implementation opportunities various AI technologies provide in various fields of healthcare & clinical workflow, how AI systems will boost healthcare to restore human touch in patient-physician encounters.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes
Package that provides a integrated Julia workflow for molecular dyanmics simulations.
Nature Medicine paper. A Multidimensional Precision Medicine Approach for Autism Subtype Identification.
Automated Machine Learning with scikit-learn
Sandbox for the development of active-learning algorithms for automated drug discovery.
Curated (meta)list of resources for Biology.
A curated list of Cheminformatics libraries and software.
List of software packages for multi-omics analysis
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.