Abstract. This paper summarizes our investigations into the computational detection of secondary and tertiary structure of ribosomal RNA.
This paper summarizes our investigations into the computational detection of secondary and tertiary structure of ribosomal RNA.
identified by ... Accuracy of detection in the search for tertiary structure ... Our first validation test used automated covariance analysis to detect known ...
Recently, methodologists have shown how two disparate conceptual arenas—individual growth modeling and covariance structure analysis—can be integrated.
Missing: automated search.
May 21, 2022 · In this paper, we investigate the current state-of-the-art in automated model inference for Gaussian processes and outline strengths and shortcomings of the ...
In this paper, structured covariance PCA (SC-PCA) is proposed for fast computation of the covariance matrix. In line with how spectral data is acquired in ...
In regression analysis with repeated measurements, such as longitudinal data and panel data, structured covariance matrices characterized by a small.
Structural methods detect obstacles by looking for observations with structure either above a given ... Visual Novelty Detection With Automatic Scale.
Jul 15, 2021 · Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure ...
QRNA uses comparative genome sequence analysis to detect conserved RNA secondary structures, including both ncRNA genes and cis-regulatory RNA structures.