Pinned Repositories
COVID19-capstone-project
Capstone project from Coursera R programming and tidyverse course
GeneRaMeN
Gene Rank Meta aNalyzer (GeneRaMeN) is an R/Shiny app for integration, comparison, and meta analysis of multiple ranked gene lists, presented in Yousefi et al. (2024) Briefings in bioinformatics.
GeneTonic
Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
hESCNet
"hESCNet" is a metabolic network model specific to human embryonic stem cells, presented in Yousefi et al. (2019) Cell & Bioscience.
Intro-RNASeq-Cornell
A repository for practicing RNASeq analysis, following tutorials from Dundar et al. @ Weill Cornell
Introduction_to_Machine_Learning
Machine Learning Course, Sharif University of Technology
meisamysf.github.io
TMEM41B-and-VMP1-KO-metabolomics
The code for PCA analysis and boxplots representations of TMEM41B KO and VMP1 KO metabolomics data, presented in Yousefi et al. (2022) PLOS Pathogens
Rfast
A collection of Rfast functions for data analysis. Note 1: The vast majority of the functions accept matrices only, not data.frames. Note 2: Do not have matrices or vectors with have missing data (i.e NAs). We do no check about them and C++ internally transforms them into zeros (0), so you may get wrong results. Note 3: In general, make sure you give the correct input, in order to get the correct output. We do no checks and this is one of the many reasons we are fast.
MeisamYSF's Repositories
MeisamYSF/COVID19-capstone-project
Capstone project from Coursera R programming and tidyverse course
MeisamYSF/GeneRaMeN
Gene Rank Meta aNalyzer (GeneRaMeN) is an R/Shiny app for integration, comparison, and meta analysis of multiple ranked gene lists, presented in Yousefi et al. (2024) Briefings in bioinformatics.
MeisamYSF/GeneTonic
Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
MeisamYSF/hESCNet
"hESCNet" is a metabolic network model specific to human embryonic stem cells, presented in Yousefi et al. (2019) Cell & Bioscience.
MeisamYSF/Intro-RNASeq-Cornell
A repository for practicing RNASeq analysis, following tutorials from Dundar et al. @ Weill Cornell
MeisamYSF/Introduction_to_Machine_Learning
Machine Learning Course, Sharif University of Technology
MeisamYSF/meisamysf.github.io
MeisamYSF/TMEM41B-and-VMP1-KO-metabolomics
The code for PCA analysis and boxplots representations of TMEM41B KO and VMP1 KO metabolomics data, presented in Yousefi et al. (2022) PLOS Pathogens