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Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences.

, , and . IEEE Big Data, page 101-106. IEEE, (2022)

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The Complexity of the Gapped Consecutive-Ones Property Problem for Matrices of Bounded Maximum Degree., and . RECOMB-CG, volume 6398 of Lecture Notes in Computer Science, page 278-289. Springer, (2010)Efficient Approximate Kernel Based Spike Sequence Classification., , , , , and . CoRR, (2022)Effective and scalable clustering of SARS-CoV-2 sequences., , , , and . CoRR, (2021)Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning., , , , , and . CoRR, (2023)PseAAC2Vec protein encoding for TCR protein sequence classification., , , , and . Comput. Biol. Medicine, (March 2024)Determining Significant Correlation Between Pairs of Extant Characters in a Small Parsimony Framework., , , , , and . J. Comput. Biol., 29 (10): 1132-1154 (2022)Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning., , , and . BigDataService, page 81-88. IEEE, (2022)Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification., , , , and . IEEE Big Data, page 1429-1437. IEEE, (2023)Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences., , and . IEEE Big Data, page 101-106. IEEE, (2022)Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences., and . IEEE BigData, page 1533-1540. IEEE, (2021)