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Nov 25, 2020 · The results prove that the feature-level multi-modality fusion method can improve the classification and recognition effect of similar ...
The results prove that the feature-level multi-modality fusion method can improve the classification and recognition effect of similar electrical signal ...
The experimental results show that our proposed method not only improves the classification performance, but also has potential to discover the disease-related ...
Xixin Fu, Yongjing Wan, Xinyi Li, Yilun Ying, Yitao Long: Analysis and classification of nanopore data based on feature-level multi-modality.
This guide starts from untangling the signal processing flow and categorizing the various algorithms developed to extracting the useful information.
Nov 8, 2021 · Nanopore sequencing is being applied in genome assembly, full-length transcript detection and base modification detection and in more specialized areas.
Oxford Nanopore's technology allows for direct, real-time sequencing and detection of these modifications for both DNA and RNA (e.g. 5mC, 5hmC, 6mA, 4mC for DNA ...
Missing: classification | Show results with:classification
CM Analyzer software was designed based on the Circle-Median algorithm. The algorithm effectively recognized falling events and outliers in nanopore data.
Analysis and classification of nanopore data based on feature-level multi-modality. from pubs.acs.org
Oct 4, 2021 · This guide starts from untangling the signal processing flow and categorizing the various algorithms developed to extracting the useful information.
Jun 13, 2019 · A nanopore data processing pipeline that integrates a diverse set of established bioinformatics software while maintaining consistent and standardized output ...