Communication generation using sparse indicators and sensor data

US11361842B1 · kind B1 · utility

Assignee

• COLOR HEALTH, INC. · US

Inventors

• Ryan Barrett · San Francisco, US
• Nishant Bhat · San Francisco, US
• Huy Hong · Palo Alto, US
• Katsuya Noguchi · San Francisco, US
• Wendy McKennon · San Francisco, US
• Krishna Pant · San Jose, US
• Taylor Sittler · San Francisco, US
• Othman Laraki · Palo Alto, US
• Elad Gil · San Francisco, US

Key dates

• Filing date: Aug 4, 2021
• Grant date: Jun 14, 2022
• Expiry date: Aug 4, 2041

Classification

• Technology area (CPC H): Electricity
• CPC primary: H01L21/768
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Techniques are provided for detecting copy number variations. Each sequence read of a set of sequence reads is aligned with a portion of a reference sequence. A coverage vector is generated that includes a plurality of elements, each element in the plurality of elements indicating a number of the set of sequence reads that were aligned to a particular position within the reference sequence. A normalization vector is accessed that was generated based on performance of a component analysis on a set of other coverage vectors corresponding to a set of other subjects. An adjusted coverage vector is generated using the coverage vector and normalization vector. One or more subject-specific normalization values are generated based on the coverage vector. One or more copy number variations are identified that corresponding to the sample using the adjusted coverage vector and the subject-specific normalization values.