Training data generation for artificial intelligence-based sequencing
US11347965B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 20, 2020 |
| Grant date | May 31, 2022 |
| Priority date | — |
| Expiry date | Jun 6, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/046
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The technology disclosed relates to generating ground truth training data to train a neural network-based template generator for cluster metadata determination task. In particular, it relates to accessing sequencing images, obtaining, from a base caller, a base call classifying each subpixel in the sequencing images as one of four bases (A, C, T, and G), generating a cluster map that identifies clusters as disjointed regions of contiguous subpixels which share a substantially matching base call sequence, determining cluster metadata based on the disjointed regions in the cluster map, and using the cluster metadata to generate the ground truth training data for training the neural network-based template generator for the cluster metadata determination task.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.