The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 12, 2026

Filed:

Dec. 13, 2017
Applicant:

Deep Genomics Incorporated, Toronto, CA;

Inventor:

Brendan Frey, Toronto, CA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16B 40/00 (2019.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01); G16B 20/00 (2019.01); G16B 20/20 (2019.01); G16B 40/20 (2019.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/084 (2013.01); G16B 20/00 (2019.02); G16B 20/20 (2019.02); G16B 40/00 (2019.02); G16B 40/20 (2019.02);
Abstract

The present disclosure provides methods and systems that can ascertain how genetic variants impact molecular phenotypes. Such methods and systems may use additional conservation information. In an aspect, the present disclosure provides a method for training a molecular phenotype neural network (MPNN), comprising: (a) providing a molecular phenotype neural network (MPNN) comprising one or more parameters; (b) providing a training data set comprising (i) a set of one or more inputs comprising biological sequences and (ii) for each input in the set of one or more inputs, a set of one or more molecular phenotypes corresponding to the input; (c) configuring the one or more parameters of the MPNN based on the training data set to minimize a total loss of the training data set, thereby training the MPNN; and (d) outputting the one or more parameters of the MPNN.


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