Maaslin2MaAsLin2: Microbiome Multivariate Association with Linear Models
Stars: ✭ 76 (+26.67%)
Mutual labels: microbiome, differential-abundance-analysis
microbiomeMarkerR package for microbiome biomarker discovery
Stars: ✭ 89 (+48.33%)
Mutual labels: microbiome, differential-abundance-analysis
empressA fast and scalable phylogenetic tree viewer for microbiome data analysis
Stars: ✭ 37 (-38.33%)
Mutual labels: microbiome
exponential-moving-average-normalizationPyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482
Stars: ✭ 76 (+26.67%)
Mutual labels: normalization
bac-genomics-scriptsCollection of scripts for bacterial genomics
Stars: ✭ 39 (-35%)
Mutual labels: sequencing
keras-utility-layer-collectionCollection of custom layers and utility functions for Keras which are missing in the main framework.
Stars: ✭ 63 (+5%)
Mutual labels: normalization
RDPToolsCollection of commonly used RDP Tools for easy building
Stars: ✭ 44 (-26.67%)
Mutual labels: microbiome
class-normClass Normalization for Continual Zero-Shot Learning
Stars: ✭ 34 (-43.33%)
Mutual labels: normalization
universe-of-syntaxA universe of scope- and type-safe syntaxes (syntices?). Includes generic implementation of type-preserving renaming/substitution with all the proofs you could possibly need.
Stars: ✭ 16 (-73.33%)
Mutual labels: normalization
tracyBasecalling, alignment, assembly and deconvolution of Sanger Chromatogram trace files
Stars: ✭ 73 (+21.67%)
Mutual labels: sequencing
gubbinsRapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins
Stars: ✭ 103 (+71.67%)
Mutual labels: sequencing
url-normalizeURL normalization for Python
Stars: ✭ 82 (+36.67%)
Mutual labels: normalization
ORNAFast in-silico normalization algorithm for NGS data
Stars: ✭ 21 (-65%)
Mutual labels: normalization
flow1d[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation
Stars: ✭ 91 (+51.67%)
Mutual labels: correlation
scSeqRThis package has migrated to https://github.com/rezakj/iCellR please use iCellR instead of scSeqR for more functionalities and updates.
Stars: ✭ 16 (-73.33%)
Mutual labels: normalization
graphql-normNormalization and denormalization of GraphQL responses
Stars: ✭ 28 (-53.33%)
Mutual labels: normalization
RCMA model-based visualization method for microbiome data
Stars: ✭ 16 (-73.33%)
Mutual labels: microbiome
autonormalizepython library for automated dataset normalization
Stars: ✭ 104 (+73.33%)
Mutual labels: normalization
snp-sitesFinds SNP sites from a multi-FASTA alignment file
Stars: ✭ 182 (+203.33%)
Mutual labels: sequencing
CorrelationLayerPure Pytorch implementation of Correlation Layer that commonly used in learning based optical flow estimator
Stars: ✭ 22 (-63.33%)
Mutual labels: correlation