Pinned Repositories
batchtools
Tools for computation on batch systems
bioconda-recipes
Conda recipes for the bioconda channel.
biostats1_challenge
CFM-ID
chemdistiller
a modified tandem MS spectrum annotation software
circacompare
MS2Aggregator
Functions to prepare metabolomics MS2 spectra for metfamily
nextflow-course
OpenMSToXCMS
R functions to convert featureXML and consensusXML to CAMERA/XCMS
r-kubernetes
A simple script to offload R sessions to Kubernetes
PayamEmami's Repositories
PayamEmami/nextflow-course
PayamEmami/bioconda-recipes
Conda recipes for the bioconda channel.
PayamEmami/biostats1_challenge
PayamEmami/ComplexHeatmap
Make Complex Heatmaps
PayamEmami/cunn
PayamEmami/cv.glmmLasso
Cross-validation for multi-level lasso
PayamEmami/data_integration_mixkernel
PayamEmami/DMRcate_utils
PayamEmami/fast-neural-style
Feedforward style transfer
PayamEmami/integrative_overrepresentation
PayamEmami/linear_mixed_models
PayamEmami/metaboigniter
UNDER CONSTRUCTION: MetaboIGNITER - Get your metabolomics analysis up and running
PayamEmami/methylseq_ovation
PayamEmami/mirnatargetdetector
miRNA target detection
PayamEmami/mixedcirc
Differential circadian rhythm analysis using mixed models
PayamEmami/mixomics_data_integration
PayamEmami/mofa_data_integration
PayamEmami/multi-package-containers
Testing building mulled containers for multi-requirement tools.
PayamEmami/mzxml-precursor-corrector
PayamEmami/neural-style-pt
PyTorch implementation of neural style transfer algorithm
PayamEmami/nextflow_course
PayamEmami/nf-core-metabolinden
Metabolomics quaLIty coNtrol anD paramEter optimizatioN
PayamEmami/nsp
PayamEmami/payamemami.github.io
PayamEmami/prism
High Resolution Style Transfer in PyTorch with Color Control and Mixed Precision :art:
PayamEmami/randomforest_data_integration
PayamEmami/tutorial-hac-mixedmodel
PayamEmami/URST
Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization (AAAI'2022)
PayamEmami/VQGAN-CLIP
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
PayamEmami/Waters2mzML
Waters2mzML converts & subsequently annotates Waters .raw MSn data (both MSe & DDA) into functional .mzML files. Obtained .mzML files can be processed in MZmine 3. It would be interesting to see if it works for all Waters .raw data and other processing streamlines.