BPSI2.0: a C/C++ interface program for species identification via DNA barcoding with a BP‐neural network by calling the Matlab engine
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Summary
BP‐Species Identification (BPSI2.0) is a computer program that performs species identification by training a Back‐Propagation Neural Network that can assign an unknown query sequence to a known species in the user's database, and provide the corresponding subvector value of the output vector as a relative probability value.
- Type
- article
- Published
- 2009-01-01
- Cited by
- 17
- References
- 16
- OpenAlex
- https://openalex.org/W21564572
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:12010509
Keywords
Political science
References
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- Identifying species of moths (Lepidoptera) from Baihua Mountain, Beijing, China, using DNA barcodes
- Phylogenetic Reconstruction and DNA Barcoding for Closely Related Pine Moth Species (Dendrolimus) in China with Multiple Gene Markers
- A New Method for Species Identification via Protein-Coding and Non-Coding DNA Barcodes by Combining Machine Learning with Bioinformatic Methods
- Genetic identification of source populations for an aquarium‐traded invertebrate
- DNA Barcoding and Species Boundary Delimitation of Selected Species of Chinese Acridoidea (Orthoptera: Caelifera)
- Research on the Relationship between the Anchor Pattern Characteristics and Adhesion Based on Neural Network
- Population‐level declines in Australian predators caused by an invasive species
- BarcodingR: an integrated r package for species identification using DNA barcodes
- Decision Theory-Based COI-SNP Tagging Approach for 126 Scombriformes Species Tagging
- Energy-related CO2 emission peaking target and pathways for China's city: A case study of Baoding City
- funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model
- Prediction of Cleaning Loss of Combine Harvester Based on Neural Network
- Combined COI barcode‐based methods to avoid mislabelling of threatened species of deep‐sea skates
- DNA Barcoding: An Effective Technique in Molecular Taxonomy
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