Machine Learning-Guided Prediction of Antigen-Reactive in Silico Clonotypes Based on Changes in Clonal Abundance Through Bio-Panning

Biomolecules - Switzerland
doi 10.3390/biom10030421
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Prediction and Analysis of Forest Fire Based on Machine Learning

Statistics and Application
2016English

Machine Learning Based Prediction of Complex Bugs in Source Code

International Arab Journal of Information Technology
Computer Science
2019English

Reactive Search: Machine Learning for Memory-Based Heuristics

2018English

Corrigendum: In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts

Frontiers in Chemistry
Chemistry
2018English

Joint Learning Improves Protein Abundance Prediction in Cancers

BMC Biology
Developmental BiologyEvolutionEcologyGeneticsCell BiologyMolecular BiologyBiochemistryBiological SciencesSystematicsStructural BiologyPlant ScienceBehaviorBiotechnologyAgriculturalPhysiology
2019English

Ship Roll Motion Prediction Based on ℓ1 Regularized Extreme Learning Machine

PLoS ONE
Multidisciplinary
2018English

Heart Disease Prediction Based on External Factors: A Machine Learning Approach

International Journal of Advanced Computer Science and Applications
Computer Science
2019English

Sequential Antigen Panning for Selection of Broadly Cross-Reactive HIV-1-Neutralizing Human Monoclonal Antibodies

Methods in Molecular Biology
GeneticsMolecular Biology
2009English

A Study on Motion Recognition Through Kinect-Based Machine- Learning

International Journal of Control and Automation
ControlSystems Engineering
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy