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Evaluation of machine learning models on protein level inference from prioritized RNA features
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Xu, Wenjian创建时间：
2021-10-29
相关数据集
Principles of gene regulation quantitatively connect DNA to RNA and proteins in bacteria. Principles of gene regulation quantitatively connect DNA to RNA and proteins in bacteria
To understand the contribution of mRNA synthesis and degradation rates towards setting protein concentrations, we performed RNA-sequencing based measurements of mRNA abundance and degradation to facil
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Regular Patterns for Proteome-Wide Distribution of Protein Abundance across Species
A proteome of the bio-entity, including cell, tissue, organ, and organism, consists of proteins of diverse abundance. The principle that determines the abundance of different proteins in a proteome is
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Pearson correlation coefficients ( r ) and corresponding P -values for tests of linear association between log(degree) and log 2 (abundance) in raw yeast PPI data sets.
Spearman rank correlation coefficients are provided in parentheses. aNumber of proteins in PPI data set having abundance measurements. bThe symbol “<” signifies P<0.0001 for both Pearson and Spearman
NIAID Data Ecosystem10
On Ribosome Load, Codon Bias and Protein Abundance
Different codons encoding the same amino acid are not used equally in protein-coding sequences. In bacteria, there is a bias towards codons with high translation rates. This bias is most pronounced in
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Multidimensional PTEN missense variant analysis reveals variant subgroups including potential dominant negatives. Multidimensional PTEN missense variant analysis reveals variant subgroups including potential dominant negatives
Determining the pathogenicity of human genetic variants is a critical challenge, and functional assessment is often the only option. Experimentally characterizing millions of possible missense variant
NIAID Data Ecosystem30
