The Laplace transform can be regarded as a transform from the time domain to the frequency domain. For example, applying the Laplace transform, the function x(t) may be transformed into a function of the complex
Tokenizer: This module performs tokenization of the input amino acid sequence at both character and word levels. Character-level tokenization slices protein sequences into amino acid characters. Word-level tokenization employs the Byte Pair Encoding (BPE) algorithm79from the Subword-NMT tool (https:/...
Edges represent pairwise BLAST similarity with E-value < 10−10. The SSN clusters indicate that ApaA-alike sequences have significantly high richness in WWTPs Full size image APAP degradation by isolated bacterial strains from wastewater Our recent interest in the microbial degradation mechanisms...
Across the three domains, the C-terminal OB-domain shows the highest similarity between the two proteins. This domain’s primary role is to interact with the small ribosomal subunit and the anticodon stem loop of the P-site tRNA. Notably, both EF-P and EfpL contain a tyrosine and an ...
AlphaFold is an advanced machine learning method that integrates physical and biological insights into protein structures, utilizing multi-sequence alignments to enhance the design of its deep learning algorithm. This approach consistently achieves accuracy comparable to experimental results. 2.7.2. Molecular...
A simple connected component algorithm based on [18] implemented in Spark. a = edges while True: b = a.flatMap(large_star_map).groupByKey().flatMap(large_star_reduce).distinct().cache() a = b.map(small_star_map).groupByKey().flatMap(small_star_reduce).distinct().cache() changes =...
The algorithm is feasible for rapid and reliable source parameter estimation of moderate to large magnitude events from real-time streamed strong-motion signals collected by a dense accelerometric network deployed in the earthquake source region. The method complements well the source parameter ...
A simple connected component algorithm based on [18] implemented in Spark. a = edges while True: b = a.flatMap(large_star_map).groupByKey().flatMap(large_star_reduce).distinct().cache() a = b.map(small_star_map).groupByKey().flatMap(small_star_reduce).distinct().cache() changes =...
& Wang, G. Similarity computation strategies in the microRNA disease network: a survey. Brief Funct. Genomic 15, 55–64 (2015). 57. Lin, C. et al. LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy. Neurocomputing 123, 424–435 (2014). 58. Liu, B. et al...
(n = 32, Supplementary Table4). Although the population, PET acquisition, and processing parameters differ, we found close similarity between findings in the BioFINDER and EXPEDITION3 cohorts. Specifically, we found a positive association between levels of p-tau217 and p-tau181 and flortauc...