Cover Image

REMAG: Recovering high-quality Eukaryotic genomes from complex metagenomes v0.3.0

Fuente: Zenodo

Saved in:

Bibliographic Details
Main Author:	Gómez-Pérez, Daniel
Format:	Recurso digital
Published:	Zenodo 2025
Subjects:	metagenomics binning eukaryotes machine learning contrastive learning bioinformatics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

atomworks
by: Corley, Nathaniel, et al.
Published: (2025)

Supplementary material 1 from: Patin NV, Pitz KJ, Baker JD, Chavez FP, Goodwin KD (2025) Markers or metagenomes: sequencing marine eukaryotic DNA for better biodiversity surveys. Metabarcoding and Metagenomics 9: e144935. https://doi.org/10.3897/mbmg.9.144935
by: Patin, Nastassia V., et al.
Published: (2025)

Self-Supervised Learning as Constrained Free-Energy Systems
by: Kemple, Kurtis
Published: (2026)

mSystems
Published: (2017)

iMeta
Published: (2022)

Big Data Analytics
Published: (2017)

Metabarcoding and Metagenomics
Published: (2018)

Transportation Network Optimization (Tier-0)
by: Research Jumpstart Community
Published: (2025)

A Controlled Evaluation of Transfer Learning and Federated Meta-Learning for Privacy-Preserving Photonic Inverse Design
by: Ray, Rahul D
Published: (2026)

iMetaOmics
Published: (2025)

Robust Sensor Fusion for Autonomous Navigation in Dynamically Changing Environments
by: Liam O'Connor
Published: (2026)

A Proximal Gradient Framework for Optimization Under Uncertainty with Applications to Sparse Data Representation
by: Jordan Smith
Published: (2026)

Addressing Exploration Challenges in Sparse Reward Reinforcement Learning Environments via Intrinsic Curiosity Modules and Reward Shaping
by: Elena Rossi
Published: (2026)

Scalable and Efficient Distributed Training of Deep Learning Models via Hybrid Parallelism
by: Yuki Tanaka
Published: (2026)

Leveraging Graph Neural Networks for Enhanced Node Representation Learning in Sparse Interaction Networks
by: Sasha Petrova
Published: (2026)

Proximal Gradient Methods for Non-Convex Optimization with Applications to Robust Computer Vision
by: Jamie Chen
Published: (2026)

Adaptive Regularization for Robust Optimization Under Data Distribution Shift
by: Yuki Tanaka
Published: (2026)

Context-Aware Feature Aggregation for Robust Object Detection in Dynamic Scenes
by: Jamie Chen
Published: (2026)

Annotated video footage for automated identification and counting of fish in unconstrained marine environments
by: Ditria, Ellen M, et al.
Published: (2021)

A Review on the Integration of Machine Learning in Cloud Computing Resource Management
by: Thafzy V. M.
Published: (2025)

XAI Tool Economics: The Cost Structure of Explanation Generation
by: Ivchenko, Oleh
Published: (2026)

[Medical ML] US Experience: FDA-Approved AI Devices
by: Ivchenko, Oleh, et al.
Published: (2026)

Industry Transformation 2026-2030: Which Sectors Will Be Most Transformed by AI
by: Ivchenko, Ihor
Published: (2026)

All-You-Can-Eat Agentic AI: The Economics of Unlimited Licensing in an Era of Non-Deterministic Costs
by: Ivchenko, Oleh
Published: (2026)

XAI Observability: Monitoring Explainability Drift in Production Models
by: Ivchenko, Oleh
Published: (2026)

Explanation Quality Specifications: Metrics, Thresholds, and Acceptance Criteria for XAI
by: Ivchenko, Oleh, et al.
Published: (2026)

Ukraine's AI Duality: World Leader in Battlefield Systems, Lagging in Civil Adoption
by: Ivchenko, Oleh
Published: (2026)

Specifying the Impossible: A Complete Engineering Specification for an Autonomous Humanoid Robot
by: Ivchenko, Oleh
Published: (2026)

License Implications for XAI Attribution: Legal Analysis of Open Source Explanation Dependencies
by: Ivchenko, Oleh, et al.
Published: (2026)

Container Orchestration for AI — Kubernetes Cost Optimization
by: Ivchenko, Oleh
Published: (2026)

Agentic AI Infrastructure: Platform Economics of Multi-Agent Systems
by: Ivchenko, Oleh
Published: (2026)

Scenario Analysis: Modeling Three Futures for Ukraine's Shadow Economy (2025–2030)
by: Ivchenko, Oleh
Published: (2026)

Memory Hierarchy — DRAM, HBM, and SSD-Backed Caches
by: Ivchenko, Oleh
Published: (2026)

Human-Readable AI Explanations: Specification for Audience-Appropriate Transparency
by: Ivchenko, Oleh, et al.
Published: (2026)

Simple Data-Driven Context-Sensitive Lemmatization
by: Grzegorz Chrupala
Published: (2006)

Smart Study Planner AI-Based Academic Stress Reduction and Student Learning Outcomes Improvement
by: Vaishali, et al.
Published: (2026)

When the state of the art is ahead of the state of understanding: unintuitive properties of deep neural networks
by: Joan Serrà
Published: (2019)

Abwanderung nach Gehaltsverhandlung /
by: Marvin Hinske
Published: (2025)

GreenInformationFactory – Processed Data, Model & Performance
by: Rosnitschek, Tobias
Published: (2025)

A Machine Learning Approach for Factoid Question Answering
by: David Dominguez-Sal
Published: (2006)