Patent ID: 11935627
Assignee: MUJIN, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A non-transitory medium with instructions stored thereon that, when executed by a processor of a computing device, cause the computing device to perform operations comprising:
generating text phrases that represent different DNA sequences,
wherein the text phrases include—
expected phrases corresponding to multiple locations in an overall genome, wherein phrases corresponding to each location include different combinations of flanking texts adjacent to a text segment that represents a tandem repeat (TR) sequence associated with the corresponding location, and
derived phrases representative of sampled mutations in the TR sequence, and

wherein generating the text phrases includes refining an initial set of segments and/or phrases based on removing overlaps and/or duplicates therein to generate the text phrases; and

developing a machine learning (ML) model based on using a subset of the text phrases as features, wherein the ML model is trained and configured to compute a cancer signature based on analyzing text-based patient DNA data according to representations therein of mutations in patient DNA, the cancer signature representing (1) a likelihood that a corresponding patient has developed one or more types of cancer, (2) a likelihood that the patient will develop the one or more types of cancer within a given duration, (3) a development status at least leading up to onset of the one or more types of cancer, (4) monitoring a progression or a treatment response of the one or more types of cancer, or a combination thereof,
wherein developing the ML model includes reducing false positives resulting from multiple comparisons by (1) adjusting a p-value criteria by a number of the TR sequences used in the multiple comparisons and (2) identifying somatic mutations based on the adjusted p-value criteria, wherein the somatic mutations are retained for considering correlations to the one or more types of cancer.