Research map: HTST-Net: A hierarchical time-distributed network with spatial–temporal feature gated fusion for genomic insertion variant calling

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  19. Truvari: refined structural variant comparison preserves allelic diversity · Adam C. English · 2022 · 249 citations · Cited by this paper
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  23. Insertion of an Alu SINE in the human homologue of theMlvi-2 locus · Agathe Economou-Pachnis · 1985 · 69 citations · Cited by this paper
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  26. Tradeoffs in alignment and assembly-based methods for structural variant detection with long-read sequencing data · Yichen Henry Liu · 2024 · 54 citations · Cited by this paper
  27. Structural variant analysis of a cancer reference cell line sample using multiple sequencing technologies · Keyur Talsania · 2022 · 48 citations · Cited by this paper
  28. Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction · Taedong Yun · 2024 · 44 citations · Cited by this paper
  29. Functional characterization of human genomic variation linked to polygenic diseases · Tania Fabo · 2023 · 32 citations · Cited by this paper
  30. MAMnet: detecting and genotyping deletions and insertions based on long reads and a deep learning approach · Hongyu Ding · 2022 · 28 citations · Cited by this paper
  31. Finding long tandem repeats in long noisy reads · Shinichi Morishita · 2020 · 25 citations · Cited by this paper
  32. The arsenal of TP53 mutants therapies: neoantigens and bispecific antibodies · Chang Qing Yang · 2021 · 16 citations · Cited by this paper
  33. A comprehensive review of deep learning-based variant calling methods · Ren Junjun · 2024 · 15 citations · Cited by this paper
  34. SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read data · yan zheng · 2023 · 14 citations · Cited by this paper
  35. cnnLSV: detecting structural variants by encoding long-read alignment information and convolutional neural network · Huidong Ma · 2023 · 13 citations · Cited by this paper
  36. SVHunter: long-read-based structural variation detection through the transformer model · Runtian Gao · 2025 · 13 citations · Cited by this paper
  37. INSnet: a method for detecting insertions based on deep learning network · Runtian Gao · 2023 · 11 citations · Cited by this paper
  38. CSV-Filter: a deep learning-based comprehensive structural variant filtering method for both short and long reads · Zeyu Xia · 2024 · 9 citations · Cited by this paper
  39. Deep-learning based representation and recognition for genome variants—from SNVs to structural variants · Songbo Wang · 2024 · 7 citations · Cited by this paper

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