Abstract: A literature information processing system, comprising: a dictionary (16) to store data of element names and verbs indicating mutual interaction relations between the element names; a literature database (14) to store a large number of data for literature information; an input means (12) to enter plural element names; and a data control unit (10) to extract multi-body interaction relations for every plural element name entered in reference to the above dictionary or the above literature database, to extract overlapping parts of the multi-body interaction relations extracted for each of plural element names, and to draw a pathway map indicating the overlapping parts extracted by the above overlapping part extracting means as one information.

Abstract: Features relating to gene expression levels are extracted and visualized in an effective manner. Data about the gene expression levels is utilized for medical diagnosis. Information about whether or not the expression levels of each of positive samples are within a predetermined range is displayed comparatively with information about whether or not the expression levels of each of negative samples are within a predetermined range.

Abstract: The disclosed invention makes the following possible: automatically and efficiently extracting substance names such as genes, proteins, and low-molecular-weight substances and binary relations between substances from papers stored in databases and visually presenting the extracted binary relations in forms intelligible to users. First step is extracting protein names, synonyms, and cross reference information from public databases and integrating them into a protein dictionary. Second step is extracting binary relations, based on the patterns of sentences expressing a binary relation. To extract those screened out, inferring binary relations, using the weight vectors of substances appearing in text is also performed. Some significance values are defined and assigned to the thus extracted binary relations to help users to obtain binary relations serving the user's purpose.