EpiMethEx

imported

data/epimethex

EpiMethEx (Epigenetic Methylation and Expression), a R package to perform a large-scale integrated analysis by cyclic correlation analyses between methylation and gene expression data.

Machine-generated from the listed sources and not yet reviewed by a human.

EpiMethEx project image — GitHub preview card for giupardeb/EpiMethEx. Served by its origin, not stored here, and not covered by this registry’s licence.

record

Category: Data & Standards
Subcategory: unknown
License: Apache-2.0(osi)
Status: dormant
Maturity: deployed
Organization: unknown
Country: unknown
Homepage: unknown
Repository: github.com/giupardeb/EpiMethEx
Documentation: unknown
Tags: bioinformatics · biostatistics · cancer · data-filtering · dataset · epigenetics · gene-expression · methylation
Regulatory: unknown

built by · 3

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

deepsignalbioinformatics · epigenetics · methylation
Detecting methylation using signal-level features from Nanopore sequencing reads
nanopolishbioinformatics · epigenetics · methylation
Signal-level algorithms for MinION data
deepcpgepigenetics · methylation
Deep neural networks for predicting CpG methylation
MAAScancer · epigenetics
Delineation of tumor cell subpopulations using MAAS
ASAPbioinformatics · gene-expression
ASAP : Automated Single-cell Analysis Pipeline
Playbook-Workflow-Builderbioinformatics · gene-expression
A repository for the Playbook Workflow Builder project.

sources

api.github.com/repos/giupardeb/EpiMethEx
retrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2018-10-10, 8 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/12.json→ .entries["epimethex"]

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