Experimental reproducibility limits the correlation between mRNA and protein abundances in tumor proteomic profiles

SR Upadhya, CJ Ryan - Cell reports methods, 2022 - cell.com
Large-scale studies of human proteomes have revealed only a moderate correlation
between mRNA and protein abundances. It is unclear to what extent this moderate …

[HTML][HTML] Predicting gene and protein expression levels from DNA and protein sequences with Perceiver

M Stefanini, M Lovino, R Cucchiara, E Ficarra - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective. The functions of an organism and its biological
processes result from the expression of genes and proteins. Therefore quantifying and …

PEPerMINT: peptide abundance imputation in mass spectrometry-based proteomics using graph neural networks

T Pietz, S Gupta, CN Schlaffner, S Ahmed… - …, 2024 - academic.oup.com
Motivation Accurate quantitative information about protein abundance is crucial for
understanding a biological system and its dynamics. Protein abundance is commonly …

Integrated view of baseline protein expression in human tissues

A Prakash, D García-Seisdedos, S Wang… - Journal of proteome …, 2022 - ACS Publications
The availability of proteomics datasets in the public domain, and in the PRIDE database, in
particular, has increased dramatically in recent years. This unprecedented large-scale …

[HTML][HTML] Predicting missing proteomics values using machine learning: Filling the gap using transcriptomics and other biological features

JO Asensio, M Verheijen, F Caiment - Computational and Structural …, 2022 - Elsevier
Proteins are often considered the main biological element in charge of the different functions
and structures of a cell. However, proteomics, the global study of all expressed proteins …

A new take on missing value imputation for bottom-up label-free LC-MS/MS proteomics

L Etourneau, L Fancello, S Wieczorek, N Varoquaux… - bioRxiv, 2023 - biorxiv.org
Label-free bottom-up proteomics using mass spectrometry and liquid chromatography has
long established as one of the most popular high-throughput analysis workflow for proteome …

Trasformare Visione e Linguaggio con Attenzione

M Stefanini - 2023 - iris.unimore.it
Attention mechanism and Transformer-based architectures have recently revolutionized the
artificial intelligence landscape in almost every field. Ever since their first introduction, they …

Contrôle du FDR et imputation de valeurs manquantes pour l'analyse de données de protéomiques par spectrométrie de masse

L Etourneau - 2024 - theses.hal.science
La protéomique consiste en la caractérisation du protéome d'un échantillon biologique, c'est-
à-dire l'ensemble des protéines qu'il contient, et ce de la manière la plus exhaustive …

MOLE: Multi-Omics Learning to Extrapolate Proteome Expression

I Pichugin, D Kruglov, E Ilgisonis, E Ponomarenko - 2023 - researchsquare.com
Background Complex multi-omics data requires interpretation on different levels of
molecular biology processes. However, genomics and transcriptomics methods are more …

Integration of multi-omics data with artificial intelligence: studying the toxic effects on the post-transcriptional regulation

JO Asensio - 2022 - cris.maastrichtuniversity.nl
Currently, regulatory agencies rely on the use of animals for testing drugs for several
reasons. First, the most accurate way of testing drugs would be testing them in humans …