Patent ID: 11960518
Assignee: LEICA MICROSYSTEMS CMS GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 31:
32. A method for processing biology-related language-based search data, the method comprising:
receiving biology-related language-based search data, wherein the biology-related language-based search data is at least one of a nucleotide sequence, a protein sequence, a description of a biological molecule or biological structure, a description of a behavior of a biological molecule or biological structure, or a description of a biological function or a biological activity;
generating a first high-dimensional representation of the biology-related language-based search data by a trained language recognition machine-learning algorithm, wherein the first high-dimensional representation comprises at least 3 entries each having a different value,
wherein the trained language recognition machine-learning algorithm is selected from a plurality of trained language recognition machine-learning algorithms based on the biology-related language-based search data;

obtaining a plurality of second high-dimensional representations of a plurality of biology-related image-based input data sets or a plurality of biology-related language-based input data sets; and
comparing the first high-dimensional representation with each second high-dimensional representation of the plurality of second high-dimensional representations; and
selecting a second high-dimensional representation of the plurality of second high-dimensional representations closest to the first high-dimensional representation based on the comparison.