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Keyword

DNA sequence classification

Description: The computational assignment of DNA sequences to categories based on their sequence features, using statistical or machine-learning methods.
OpenAlex ID: keywords/dna-sequence-classification
CLARK: fast and accurate classification of metagenomic and genomic sequences using discriminative k-mers
2015 · Rachid Ounit, Steve Wanamaker, et al. · BMC Genomics · 632
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Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features
2014 · Mahmoud Ghandi, Dongwon Lee, et al. · PLoS Computational Biology · 489
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Informatics for Unveiling Hidden Genome Signatures
2003 · Takashi Abe, Shigehiko Kanaya, et al. · Genome Research · 268
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iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach
2018 · Bin Liu, Kai Li, et al. · Bioinformatics · 214
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Recurrent Neural Network for Predicting Transcription Factor Binding Sites
2018 · Zhen Shen, Wenzheng Bao, et al. · Scientific Reports · 211
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gkmSVM: an R package for gapped-kmer SVM
2016 · Mahmoud Ghandi, Morteza Mohammad-Noori, et al. · Bioinformatics · 186
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DNA visual and analytic data mining
2002 · P. Hoffman, G. Grinstein, et al. · 179
DNA Sequence Classification by Convolutional Neural Network
2016 · Ngoc Giang Nguyen, Vu Anh Tran, et al. · Journal of Biomedical Science and Engineering · 168
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Review on the Application of Machine Learning Algorithms in the Sequence Data Mining of DNA
2020 · Aimin Yang, Wei Zhang, et al. · Frontiers in Bioengineering and Biotechnology · 160
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Theory refinement combining analytical and empirical methods
1994 · Dirk Ourston, Raymond J. Mooney · Artificial Intelligence · 158
Analysis of DNA Sequence Classification Using CNN and Hybrid Models
2021 · Hemalatha Gunasekaran, K. Ramalakshmi, et al. · Computational and Mathematical Methods in Medicine · 153
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iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding
2019 · Nguyen Quoc Khanh Le, Edward Kien Yee Yapp, et al. · Analytical Biochemistry · 151
iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou’s PseAAC to formulate DNA samples
2015 · Muhammad Kabir, Maqsood Hayat · Molecular Genetics and Genomics · 133
Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams
2019 · Nguyen Quoc Khanh Le, Edward Kien Yee Yapp, et al. · Frontiers in Bioengineering and Biotechnology · 127
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Chromatin accessibility prediction via convolutional long short-term memory networks withk-mer embedding
2017 · Xu Min, Wanwen Zeng, et al. · Bioinformatics · 125
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iPSW(2L)-PseKNC: A two-layer predictor for identifying promoters and their strength by hybrid features via pseudo K-tuple nucleotide composition
2018 · Xuan Xiao, Zhao-Chun Xu, et al. · Genomics · 99
On the Fractal Geometry of DNA by the Binary Image Analysis
2013 · Carlo Cattani, Gaetano Pierro · Bulletin of Mathematical Biology · 92
Deep Learning Architectures for DNA Sequence Classification
2017 · Giosué Lo Bosco, Mattia Antonino Di Gangi · Lecture notes in computer science · 83
Locating Protein Coding Regions in Human DNA Using a Decision Tree Algorithm
1995 · STEVEN SALZBERG · Journal of Computational Biology · 78
HDNA: Energy-efficient DNA sequencing using hyperdimensional computing
2018 · Mohsen Imani, Tarek Nassar, et al. · IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) · 77
A Deep Learning Approach to DNA Sequence Classification
2016 · Riccardo Rizzo, Antonino Fiannaca, et al. · Lecture notes in computer science · 76
A neural network based multi-classifier system for gene identification in DNA sequences
2004 · Romesh Ranawana, Vasile Palade · Neural Computing and Applications · 75
A measure of DNA sequence similarity by Fourier Transform with applications on hierarchical clustering
2014 · Changchuan Yin, Ying Chen, et al. · Journal of Theoretical Biology · 71
Classification of DNA sequences using Bloom filters
2010 · Henrik Stranneheim, Max Käller, et al. · Bioinformatics · 70
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Effective Automated Feature Construction and Selection for Classification of Biological Sequences
2014 · Uday Kamath, Kenneth De Jong, et al. · PLoS ONE · 65
Works count: 937
Citation count: 8,906
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