akmazad Goto Github PK

4mentgrp.github.io

add-edit-user

Angular 5 application. It allows to create user and save detail in localstorage. Also use google map API to lookup address.

akmazad.github.io

Welcome to my Lab page

alphamap

An open-source Python package for the visual annotation of proteomics data with sequence specific knowledge.

atsphere_wgs

scripts to reproduce the analysis and figures from Bai et al., Nature, 2015

awesome-shiny-extensions

🐝 Awesome R and Python packages offering extended UI or server components for the web framework Shiny

awesome-single-cell

List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.

az_nf_tutorial

bard-nlg

batch_effects_workflow_code

Code accompanying batch effects processing workflow for "omic" data, mainly targeted for proteomics

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesian_tutorial

Tutorial on Bayesian phylogenetic analysis

beast-mcmc

Bayesian Evolutionary Analysis Sampling Trees

beast-smc

Development of infrastructure to implement SMC for BEAST.

bho

biddyetalworkflow

This repository contains our CellTag workflow, as deployed in our 2018 Biddy et al., Nature paper.

bionitio

Demonstrating best practices for bioinformatics command line tools

bnmcmc-server

cadetpersonnelmanagementsystem

celloracle

This is the alpha version of the CellOracle package

citation_data_extraction_google_scholar

Extract citation information from Google Scholar

cnnc

covolutional neural network based coexpression analysis

combining-shiny-r-markdown

Intro to Combining Shiny & R Markdown

conquer

consistent quantification of external RNA-seq data sets

covid-19

Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19

covid_cdr

danq

A hybrid convolutional and recurrent neural network for predicting the function of DNA sequences

data-science-fundamentals-in-r

deepdnaseq

DNA-seq analysis with deep learning using Keras (Tensorflow)

deepimpute

An accurate and efficient deep learning method for single-cell RNA-seq data imputation