Protein Abundance Prediction Through Machine Learning Methods-Reference-Cited by-同舟云学术

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Protein Abundance Prediction Through Machine Learning Methods

Published:2021-11 Issue:22 Volume:433 Page:167267
ISSN:0022-2836
Container-title:Journal of Molecular Biology
language:en
Short-container-title:Journal of Molecular Biology

Author:

Ferreira Mauricio,Ventorim Rafaela,Almeida Eduardo,Silveira Sabrina,Silveira Wendel

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Culinary Trust

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Molecular Biology,Structural Biology

Reference71 articles.

1. Quantitative proteomic analysis reveals a simple strategy of global resource allocation in bacteria;Hui;Mol. Syst. Biol.,2015

2. In silico method for modelling metabolism and gene product expression at genome scale;Lerman;Nature Commun.,2012

3. Exploiting interdata relationships in next-generation proteomics analysis;Vitrinel;Mol. Cell. Proteomics,2019

4. A review on quantitative multiplexed proteomics;Pappireddi;ChemBioChem,2019

5. Quantitative proteomics in the field of microbiology;Otto;Proteomics,2014

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1. Predicting single-cell cellular responses to perturbations using cycle consistency learning;Bioinformatics;2024-06-28

2. Protein constraints in genome‐scale metabolic models: Data integration, parameter estimation, and prediction of metabolic phenotypes;Biotechnology and Bioengineering;2024-01-04

3. Automated identification of protein expression intensity and classification of protein cellular locations in mouse brain regions from immunofluorescence images;Medical & Biological Engineering & Computing;2023-12-27

4. Inferring protein from mRNA concentrations using convolutional neural networks;2023-11-06

5. Accurate prediction of in vivo protein abundances by coupling constraint-based modelling and machine learning;Metabolic Engineering;2023-11

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