Title:
MEASURABLE AND PREFERABLE FEATURE SELECTION METHOD, PROGRAM FOR SELECTING MEASURABLE AND PREFERABLE FEATURE, AND MEASURABLE AND PREFERABLE FEATURE SELECTION DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/053703
Kind Code:
A1
Abstract:
Provided are a measurable and preferable feature selection method for selecting a measurable feature, a program for selecting a measurable and preferable feature, and a measurable and preferable feature selection device. The measurable and preferable feature selection method comprises: a data set input step for inputting a data set (32); a feature candidate extracting step for extracting a feature candidate (34) from the data set (32); a feature selection candidate extracting step for extracting a feature selection candidate (36); a primer designing step for extracting a feature for which a primer has been successfully designed, as a measurable and preferable feature (38); and a primer designing result notification step for feeding back a successful or unsuccessful result of designing a primer in the primer designing step to at least one of the feature candidate (34), the feature selection candidate extracting step, and the primer designing step. A measurable and preferable feature that enables a primer to be designed from a feature candidate and that predicts or determines a property of a sample is selected.
Inventors:
NAGASE MASAYA (JP)
Application Number:
PCT/JP2022/029058
Publication Date:
April 06, 2023
Filing Date:
July 28, 2022
Export Citation:
Assignee:
FUJIFILM CORP (JP)
International Classes:
G16B40/00
Domestic Patent References:
| WO2018079840A1 | 2018-05-03 | |||
| WO2021161901A1 | 2021-08-19 |
Foreign References:
| JP2019528729A | 2019-10-17 | |||
| JP6475321B2 | 2019-02-27 |
Other References:
LOPEZ-RINCON ALEJANDRO, TONDA ALBERTO, MENDOZA-MALDONADO LUCERO, MULDERS DAPHNE G.J.C., MOLENKAMP RICHARD, PEREZ-ROMERO CARMINA A.: "Classification and Specific Primer Design for Accurate Detection of SARS-CoV-2 Using Deep Learning", BIORXIV, 10 September 2020 (2020-09-10), pages 1 - 12, XP093053168, Retrieved from the Internet [retrieved on 20230609], DOI: 10.1101/2020.03.13.990242
SHENGHUI LIU;CHUNRUI XU;YUSEN ZHANG;JIAGUO LIU;BIN YU;XIAOPING LIU;MATTHIAS DEHMER: "Feature selection of gene expression data for Cancer classification using double RBF-kernels", BMC BIOINFORMATICS, BIOMED CENTRAL LTD, LONDON, UK, vol. 19, no. 1, 29 October 2018 (2018-10-29), London, UK , pages 1 - 14, XP021262025, DOI: 10.1186/s12859-018-2400-2
EMESE MEGLECZ ET AL.: "a user-friendly program to select microsatellite markers and design primers from large sequencing projects", BIOINFORMATICS, vol. 26, 1 February 2010 (2010-02-01), pages 403 - 404
YVAN SAEYS: "A review of feature selection techniques in bioinformatics", BIOINFORMATICS, 2007
TOMCZAK, KATARZYNA ET AL.: "The Cancer Genome Atlas", TCGA, 2015
SHENGHUI LIU;CHUNRUI XU;YUSEN ZHANG;JIAGUO LIU;BIN YU;XIAOPING LIU;MATTHIAS DEHMER: "Feature selection of gene expression data for Cancer classification using double RBF-kernels", BMC BIOINFORMATICS, BIOMED CENTRAL LTD, LONDON, UK, vol. 19, no. 1, 29 October 2018 (2018-10-29), London, UK , pages 1 - 14, XP021262025, DOI: 10.1186/s12859-018-2400-2
EMESE MEGLECZ ET AL.: "a user-friendly program to select microsatellite markers and design primers from large sequencing projects", BIOINFORMATICS, vol. 26, 1 February 2010 (2010-02-01), pages 403 - 404
YVAN SAEYS: "A review of feature selection techniques in bioinformatics", BIOINFORMATICS, 2007
TOMCZAK, KATARZYNA ET AL.: "The Cancer Genome Atlas", TCGA, 2015
Attorney, Agent or Firm:
MATSUURA, Kenzo (JP)
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