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feseR

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software/feser

feseR: Combining feature selection methods for analyzing omics data

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

feseR project image
GitHub preview card for enriquea/feseR. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-2.0(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
classification · feature-selection · machine-learning · proteomics · transcriptomics · visualization
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.

  • Emo_Phys_Evalfeature-selection

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  • ifreefeature-selection

    Radoimics Toolkit: Extract from Dicom, Process with Annotation and Select from Radiomic Features

  • ml_utilsfeature-selection

    Machine Learning library with useful functions for daily usage

  • Shakespeare-Methodfeature-selection

    The Shakespeare-Method repository contains the code we used to develop a new method to identify attributed and unattributed potential adverse events using the unstructured notes portion of…

  • MUDANtranscriptomics · visualization

    Multi-sample Unified Discriminant ANalysis

  • TrendCatchertranscriptomics · visualization

    TrendCatcher is an open source R-package that allows users to systematically analyze and visualize time course data. Please cite "Temporal transcriptomic analysis using TrendCatcher identifies early…

sources
  1. api.github.com/repos/enriquea/feseR
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-02-22, 16 stars, license reported as GPL-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/22.json→ .entries["feser"]

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