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Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data

, , , , , , , , , , and . BMC Bioinformatics, 21 (1): 1--18 (2020)

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Twenty-Five Years of HCI: Growth Without Progress?.. HCI (1), page 197-200. Elsevier, (1997)Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data., , , , , , , , , and 2 other author(s). BMC Bioinform., 21 (1): 119 (2020)Towards the development of classes of interaction: Initial illustration with reference to off-load planning., and . Behav. Inf. Technol., 15 (3): 149-182 (1996)Specifying relations between research and the design of human-computer interactions.. Int. J. Hum. Comput. Stud., 44 (6): 875-920 (1996)Graph Algorithms over Homomorphic Encryption for Data Cooperatives., , and . SECRYPT, page 205-214. SCITEPRESS, (2022)Planning for multiple task work: an analysis of a medical reception worksystem., , , and . INTERCHI, page 314-320. ACM, (1993)An Overview of the Implementation of CILogon at NICS., , and . XSEDE, page 26:1-26:5. ACM, (2016)Applying a Structured Method for Usability Engineering To Recreational Facilities Booking User Requirements: A Successful Case Study., , and . DSV-IS, page 311-328. Springer, (1995)A design-oriented framework for modelling the planning and control of multiple task work in secretarial office administration., , , and . Behav. Inf. Technol., 16 (3): 161-183 (1997)User Involvement in the Design of Human - Computer Interactions: Some Similarities and Differences between Design Approaches., and . BCS HCI, page 135-147. Springer, (2000)