Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Generalized Stomatal Optimization of Evolutionary Fitness Proxies for Predicting Plant Gas Exchange Under Drought, Heatwaves, and Elevated CO<sub>2</sub>.

Global change biology·2025

Same author

Sequential Adaptive Design Method for Incorporating External Data.

Biometrical journal. Biometrische Zeitschrift·2024

Same author

Epigenetic regulation and its therapeutic potential in hepatitis B virus covalently closed circular DNA.

Genes & diseases·2024

Same author

Autophagy: a critical mechanism of N<sup>6</sup>-methyladenosine modification involved in tumor progression and therapy resistance.

Cell death & disease·2024

Same author

Construction and verification of an innovative immune-related and hallmark gene sets prognostic model for bladder cancer.

Translational cancer research·2024

Same author

Human papillomavirus-encoded circular RNA circE7 promotes immune evasion in head and neck squamous cell carcinoma.

Nature communications·2024

Same journal

DiffGRN: differential gene regulatory network analysis.

International journal of data mining and bioinformatics·2019

Same journal

Integration of multi-omics data for integrative gene regulatory network inference.

International journal of data mining and bioinformatics·2018

Same journal

The development of non-coding RNA ontology.

International journal of data mining and bioinformatics·2016

Same journal

Learning multiple distributed prototypes of semantic categories for named entity recognition.

International journal of data mining and bioinformatics·2015

Same journal

Weighted fusion regularisation and predicting microbial interactions with vector autoregressive model.

International journal of data mining and bioinformatics·2015

Same journal

Application of consensus string matching in the diagnosis of allelic heterogeneity involving transposition mutation.

International journal of data mining and bioinformatics·2015

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 30, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Exploiting multi-layered vector spaces for signal peptide detection.

Tom Johnsten, Laura Fain, Leanna Fain

International Journal of Data Mining and Bioinformatics

|November 10, 2015

Summary

This summary is machine-generated.

We developed Multi-Layered Vector Spaces (MLVS) to represent biological sequences for machine learning. This novel approach effectively identifies signal peptides, matching or exceeding current methods.

More Related Videos

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Avidity-based Extracellular Interaction Screening AVEXIS for the Scalable Detection of Low-affinity Extracellular Receptor-Ligand Interactions

Avidity-based Extracellular Interaction Screening AVEXIS for the Scalable Detection of Low-affinity Extracellular Receptor-Ligand Interactions

Published on: March 5, 2012

Related Experiment Videos

Last Updated: Mar 30, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Avidity-based Extracellular Interaction Screening AVEXIS for the Scalable Detection of Low-affinity Extracellular Receptor-Ligand Interactions

Avidity-based Extracellular Interaction Screening AVEXIS for the Scalable Detection of Low-affinity Extracellular Receptor-Ligand Interactions

Published on: March 5, 2012

Area of Science:

Bioinformatics
Computational Biology
Machine Learning

Background:

Sequence analysis is crucial across scientific disciplines.
Extracting meaningful features from sequential data, like biological sequences, is a key machine learning challenge.
Existing methods for sequence classification may have limitations in feature representation.

Purpose of the Study:

To introduce a new mathematical model, Multi-Layered Vector Spaces (MLVS), for representing sequential data.
To demonstrate the efficacy of MLVS in a practical biological application: signal peptide identification.
To compare the performance of MLVS-based classifiers against established signal peptide prediction methods.

Main Methods:

Developed the Multi-Layered Vector Spaces (MLVS) mathematical model.
Mapped protein sequences into MLVS feature vectors.
Utilized MLVS vectors to train Support Vector Machine (SVM) classifiers.

Main Results:

MLVS feature vectors were successfully generated from protein sequences.
MLVS-based SVM classifiers were created for signal peptide identification.
The developed classifiers demonstrated performance comparable to or better than existing specialized methods.

Conclusions:

Multi-Layered Vector Spaces (MLVS) provide an effective representation for sequential data.
MLVS is a valuable tool for biological sequence analysis and classification tasks.
This approach offers a competitive alternative for signal peptide prediction.