Abstract: An image generation device includes an imaging unit configured to convert data representing an expression level for each microRNA type into image-rendition data serving as data representing a matrix of two dimensions or more, a classification unit configured to perform classification of the image-rendition data, and a contribution-presentation-image generation unit configured to generate a contribution-presentation image representing a contribution of a specific part of the image-rendition data to the classification.

Abstract: An information processing device includes a memory unit that stores registration data of a search target and error information indicating an error of the registration data in association with each other. The information processing device includes a search unit that searches for registration data from the registration data stored by memory unit, the registration data searched by the search unit being registration data for which a value obtained by subtracting a value of the error information from a value of distance between query data related to a search request and the registration data is within the predetermined neighborhood range.

Abstract: An information conversion device includes a memory and a processor coupled to the memory. The processor executes a process including generating a conversion rule for converting a feature quantity vector into a binary string that is longer than a predetermined bit length. The process includes converting each of the feature quantity vectors into a binary string by using the conversion rule generated at the generating. The process includes calculating importance levels of the respective bits in the binary strings based on the distance-based relations among the feature quantity vectors. The process includes correcting the conversion rule into one that converts each of the feature quantity vectors into a binary string having the predetermined bit length based on the calculated importance levels. The process includes changing the feature quantity vectors into a binary string having the predetermined bit length by using the conversion rule corrected at the correcting.

Abstract: An information conversion device includes a memory and a processor coupled to the memory. The processor executes a process including generating a conversion rule for converting a feature quantity vector into a binary string that is longer than a predetermined bit length. The process includes converting each of the feature quantity vectors into a binary string by using the conversion rule generated at the generating. The process includes calculating importance levels of the respective bits in the binary strings based on a distance of the feature quantity vectors. The process includes correcting the conversion rule into one that converts each of the feature quantity vectors into a binary string having the predetermined bit length based on the calculated importance levels. The process includes changing the feature quantity vectors into a binary string having the predetermined bit length by using the conversion rule corrected at the correcting.

Abstract: An information conversion device includes a memory and a processor coupled to the memory. The processor executes a process including converting a feature quantity vector of data which is a target of a search process using a Hamming distance into a symbol string including a binary symbol and a wild card symbol that causes a Hamming distance from the binary symbol to be zero (0).

Abstract: An information processing device includes a memory unit that stores registration data of a search target and error information indicating an error of the registration data in association with each other. The information processing device includes a search unit that searches for registration data from the registration data stored by memory unit, the registration data searched by the search unit being registration data for which a value obtained by subtracting a value of the error information from a value of distance between query data related to a search request and the registration data is within the predetermined neighborhood range.