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Exploring Genomic Datasets: from Batch to Interactive and Back.

, , , and . ExploreDB@SIGMOD/PODS, page 3:1-3:6. ACM, (2018)

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Exploring Genomic Datasets: from Batch to Interactive and Back., , , and . ExploreDB@SIGMOD/PODS, page 3:1-3:6. ACM, (2018)Federated sharing and processing of genomic datasets for tertiary data analysis., , , , , and . Briefings Bioinform., (2021)Demonstration of GenoMetric Query Language., , , , , , and . CIKM, page 1887-1890. ACM, (2018)Ensemble Feature Selection for Single Cell Chromatin Conformation Analysis., , , , and . ICBBT, page 209-216. ACM, (2021)Evaluating Deep Semi-supervised Learning for Whole-Transcriptome Breast Cancer Subtyping., , , , , , and . CIBB, volume 12313 of Lecture Notes in Computer Science, page 232-244. Springer, (2019)Processing of big heterogeneous genomic datasets for tertiary analysis of Next Generation Sequencing data., , , , , , , , , and 1 other author(s). Bioinform., 35 (5): 729-736 (2019)PyGMQL: scalable data extraction and analysis for heterogeneous genomic datasets., , , and . BMC Bioinform., 20 (1): 560:1-560:11 (2019)Computational inference of DNA folding principles: from data management to machine learning.. Polytechnic University of Milan, Italy, (2021)Investigating proton tunneling dynamics in the time-dependent Schrödinger equation.. J. Comput. Chem., 45 (18): 1614-1623 (July 2024)Investigating Deep Learning Based Breast Cancer Subtyping Using Pan-Cancer and Multi-Omic Data., , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (1): 121-134 (2022)