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/Sequence Processing Method And Apparatus, Posterior Matrix Processing Method And Apparatus, And Computing Device
Abstract

The present application relates to the field of nanopore sequencing, and in particular, to a method and apparatus for processing a first vectorized representation sequence representing a polymer, a method and apparatus for processing a posterior matrix, a computing device, a computer-readable storage medium, and a computer program product. The method for processing a first vectorized representation sequence representing a polymer comprises: inputting a first vectorized representation sequence into a first machine learning model to obtain a weight vector, wherein the weight vector has the same length as the first vectorized representation sequence and comprises a plurality of predicted translocation values, and each predicted translocation value indicates how many polymer units a polymer has moved at a corresponding time step relative to an observation site of nanopore sequencing; and integrating the first vectorized representation sequence and the weight vector to obtain a second vectorized representation sequence representing the polymer.

Full Text

What is claimed is:

The present application relates to the field of nanopore sequencing, and in particular, to a method and apparatus for processing a first vectorized representation sequence representing a polymer, a method and apparatus for processing a posterior matrix, a computing device, a computer-readable storage medium, and a computer program product. The method for processing a first vectorized representation sequence representing a polymer comprises: inputting a first vectorized representation sequence into a first machine learning model to obtain a weight vector, wherein the weight vector has the same length as the first vectorized representation sequence and comprises a plurality of predicted translocation values, and each predicted translocation value indicates how many polymer units a polymer has moved at a corresponding time step relative to an observation site of nanopore sequencing; and integrating the first vectorized representation sequence and the weight vector to obtain a second vectorized representation sequence representing the polymer.
Timeline
Filed
03/06/2026
Published
07/09/2026
Granted
Not Available
IPC Codes(1)
G06N 3/0455:Auto-encoder networks; Encoder-decoder networks