Alternatives and similar repositories for structural-information-minimisation:

Users that are interested in structural-information-minimisation are comparing it to the libraries listed below

• vahuynh / GENIE3
  Machine learning-based approach for the inference of gene regulatory networks from expression data.
  ☆81Updated 3 years ago
• ma-compbio / MATCHA
  multiway chromatin interaction, 3D genome, single-nucleus, hypergraph representation learning
  ☆29Updated 2 years ago
• liu-bioinfo-lab / scHiCTools
  a computational tool for analyzing single cell Hi-C data
  ☆25Updated last year
• KlugerLab / ALRA
  Imputation method for scRNA-seq based on low-rank approximation
  ☆74Updated last year
• VRam142 / combinatorialHiC
  Scripts + resources for analyzing combinatorial Hi-C data
  ☆30Updated 5 years ago
• aertslab / arboreto
  A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
  ☆57Updated last year
• zhoujt1994 / scHiCluster
  ☆65Updated last week
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆76Updated 4 years ago
• PSI-Lab / HiCSR
  HiCSR: a Hi-C super-resolution framework for producing highly realistic contact maps
  ☆15Updated 2 years ago
• gao-lab / Cell_BLAST
  A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.
  ☆91Updated 9 months ago
• zhangzlab / covid_balf
  R script for the covid balf data analysis
  ☆65Updated 4 years ago
• SUwonglab / PECA
  PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data
  ☆43Updated last year
• tanlongzhi / dip-c
  Tools to analyze Dip-C (or other 3C/Hi-C) data
  ☆64Updated 5 months ago
• kundajelab / ChromDragoNN
  Code for the paper "Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellula…
  ☆44Updated 3 years ago
• ma-compbio / Higashi
  single-cell Hi-C, scHi-C, Hi-C, 3D genome, nuclear organization, hypergraph
  ☆86Updated 6 months ago
• joachimwolff / scHiCExplorer
  Single-cell Hi-C data analysis toolbox
  ☆26Updated 3 years ago
• flatironinstitute / inferelator
  Task-based gene regulatory network inference using single-cell or bulk gene expression data conditioned on a prior network.
  ☆49Updated 9 months ago
• califano-lab / ARACNe-AP
  Network Reverse Engineering through AP inference of Mutual Information
  ☆85Updated 2 years ago
• aidenlab / straw
  Extract data quickly from Juicebox via straw
  ☆68Updated 3 weeks ago
• tariks / peakachu
  Genome-wide contact analysis using sklearn
  ☆64Updated last year
• zomithex / CIBERSORT
  ☆24Updated 9 years ago
• wys8c764 / CSN
  Cell-specific Network Constructed by Single-cell RNA Sequencing Data
  ☆21Updated 6 years ago
• JinLabBioinfo / HiCorr
  HiCorr: a Hi-C data bias-correction pipeline
  ☆28Updated 3 weeks ago
• LuyiTian / sc_mixology
  This contains the dataset for comparing scRNA-seq analysis methods
  ☆92Updated 4 years ago
• kundajelab / 3DChromatin_ReplicateQC
  Software to compute reproducibility and quality scores for Hi-C data
  ☆47Updated 6 years ago
• ushaham / BatchEffectRemoval
  ☆55Updated 5 years ago
• petitmingchang / TO-GCN
  Pipeline of time-ordered gene coexpression network (TO-GCN) construction from three-dimensional (gene expression, condition, and time) da…
  ☆49Updated last year
• eleozzr / desc
  Deep Embedding for Single-cell Clustering
  ☆84Updated last year
• AltschulerWu-Lab / scScope
  ☆49Updated 5 years ago
• Vivianstats / scImpute
  Accurate and robust imputation of scRNA-seq data
  ☆95Updated 5 years ago