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Experimental reproducibility limits the correlation between mRNA and protein abundances in tumor proteomic profiles
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 …
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
Abstract Background and Objective. The functions of an organism and its biological
processes result from the expression of genes and proteins. Therefore quantifying and …
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
Motivation Accurate quantitative information about protein abundance is crucial for
understanding a biological system and its dynamics. Protein abundance is commonly …
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
reasons. First, the most accurate way of testing drugs would be testing them in humans …