In Bangladesh there is a continuous rise in demand for higher education in last decade; therefore, the need for improving the education system is imminent. Data-mining techniques could be explored on educational settings to extract useful information which could be helpful for the students as well...
, Computational Intelligence in Information Systems, 159Advances in Intelligent Systems and Computing 331, DOI: 10.1007/978-3-319-13153-5_16 Application of Optimum Binning Technique in Data Mining Approaches to Predict Students’ Final Grade in a Course Syed Tanveer Jishan, Raisul Islam Rashu, ...
Contig binning plays a crucial role in metagenomic data analysis by grouping contigs from the same or closely related genomes. However, existing binning methods face challenges in practical applications due to the diversity of data types and the difficulties in efficiently integrating heterogeneous informa...
This class of statistical methods regards all unknown parameters as random variables distributed according to a priori distributions, which are updated during the statistical evaluation of data, yielding a posteriori distributions. Since we refer to many different distributions in this section, all pdfs...
(see Methods), we found in 91.4% of all cases, each bin contained no unrelated contigs (Fig.2d). Considering only multi-contig bins (n = 570) we calculated an average bin-purity of 97.4% in base pairs (median 100%), meaning that on average 2.55% of the genome was not aligning...
Saunders, D.G.O., Win, J., Kamoun, S., Raffaele, S. (2014). Two-Dimensional Data Binning for the Analysis of Genome Architecture in Filamentous Plant Pathogens and Other Eukaryotes. In: Birch, P., Jones, J., Bos, J. (eds) Plant-Pathogen Interactions. Methods in Molecular Biology, ...
Learn more about this topic: Stock Valuation Overview, Methods & Formula from Chapter 4 / Lesson 5 30K In this lesson, learn what stock valuation is and what the commonly used stock valuation methods are. See the different stock valuation models and their formulas. ...
compared pattern recognition entropy (PRE), which has roots in Shannon's information theory [4,5], with traditional data analysis methods such as principal component analysis (PCA) and multivariate curve resolution (MCR) for their abilities to analyze ToF-SIMS data. PRE is related to the mutual...
Despite recent advances in metagenomic binning, reconstruction of microbial species from metagenomics data remains challenging. Here we develop variational autoencoders for metagenomic binning (VAMB), a program that uses deep variational autoencoders to
In addition, Epibin also predicts weak competition of G3 with B10 and C6. The competitive immunoassays (here symmetrized by averaging, in order to support comparison with the computational methods) showed that, consistent with Epibin but counter to sequence- and structure-based predictions, A4 ...