Sort   by:  
 Page size 
ProteomicsBayesian proteoform modeling improves protein quantification of global proteomic measurements
Data used for the implementation of a Bayesian Proteoform Quantification model (BP-Quant) that uses statistically derived peptide signatures to identify peptides that are outside the dominant pattern, or the existence of multiple over-expressed patterns to improve relative protein abundance estimate...
ORGANISM(S): Mus Musculus (ncbitaxon:10090) 
2021-06-24 | MSV000087701 | MassIVE
UnknownFlexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices.
Not available
S-EPMC8048134 | biostudies-literature
Genomicsdecemedip: hierarchical Bayesian modeling for cell type deconvolution of immunoprecipitation-based DNA methylome
decemedip: hierarchical Bayesian modeling for cell type deconvolution of immunoprecipitation-based DNA methylome
PRJNA1231226 | ENA
GenomicsFrom gene expression to pregnancy prediction: towards precision ART through systems biology and Bayesian modeling
From gene expression to pregnancy prediction: towards precision ART through systems biology and Bayesian modeling
PRJNA1263594 | ENA
GenomicsA supervised Bayesian method for time (re)annotation of transcriptomics data
A supervised Bayesian method for time (re)annotation of transcriptomics data
PRJNA1086853 | ENA
TranscriptomicsA supervised Bayesian method for time (re)annotation of transcriptomics data
We propose a Bayesian method based on Gaussian process regression modeling to solve the problem. We use it to perform time annotation in old \textit{Clostridium botulinum} microarray experiments by utilising recently collected RNA-Seq time series. Additionally, we apply the method to time annotate R...
ORGANISM(S): Clostridium botulinum Clostridium botulinum A str. ATCC 3502 
2025-03-26 | GSE261398 | GEO
UnknownCombining Bayesian and Evidential Uncertainty Quantification for Improved Bioactivity Modeling.
Not available
S-EPMC12728939 | biostudies-literature
GenomicsImproved RNA stability estimation through Bayesian modeling reveals most Salmonella transcripts have subminute half-lives
Improved RNA stability estimation through Bayesian modeling reveals most Salmonella transcripts have subminute half-lives
PRJNA979183 | ENA
GenomicsImproved RNA stability estimation through Bayesian modeling reveals most bacterial transcripts have sub-minute half-lives [RIF-seq]
Improved RNA stability estimation through Bayesian modeling reveals most bacterial transcripts have sub-minute half-lives [RIF-seq]
PRJNA979187 | ENA
GenomicsImproved RNA stability estimation through Bayesian modeling reveals most bacterial transcripts have sub-minute half-lives [CLIP-seq]
Improved RNA stability estimation through Bayesian modeling reveals most bacterial transcripts have sub-minute half-lives [CLIP-seq]
PRJNA979180 | ENA
Sort   by:  
 Page size