Article

VIPER: Variational Inference for Pattern Extraction and Recognition in Genome Sequences using State Space Models for Cancer Detection

2025-02-10

Abstract excerpt

<title>Abstract</title> <p>This study presents VIPER, a novel deep-learning framework for cancer-causing mutation detection from genomic data. VIPER uniquely combines 1D Convolutional Neural Networks (Conv1D) with Mamba blocks, a structured state-space model (SSM) architecture, to capture local and long-range dependencies in genomic sequences. Unlike traditional methods or state-of-the-art models like Transformer...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7cc76f82-d02c-5dfb-997e-6226bf1ea0e6
DOI: 10.21203/rs.3.rs-5939936/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

VIPER: Variational Inference for Pattern Extraction and Recognition in Genome Sequences using State Space Models for Cancer DetectionDOI 10.21203/rs.3.rs-5939936/v1Read

SVision-pro: comparative sequence-to-image representation and instance segmentation for de novo and somatic structural variant discoverySemantic proximity Read

ISMI-VAE: A Deep Learning Model for Classifying Disease Cells Using Gene Expression and SNV DataSemantic proximity Read

Control-independent mosaic single nucleotide variant detection with DeepMosaic.Semantic proximity Read

DeepMosaic: Control-independent mosaic single nucleotide variant detection using deep convolutional neural networksSemantic proximity Read

Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping.Semantic proximity Read

ISMI-VAE: A deep learning model for classifying disease cells using gene expression and SNV data.Semantic proximity Read

Deep Representation Learning for Temporal Inference in Cancer Omics: A Systematic ReviewSemantic proximity Read

MultiCapsNet: a interpretable deep learning classifier integrate data from multiple sourcesSemantic proximity Read

A multi-representation deep-learning framework for accurate multicancer classification.Semantic proximity Read

XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer SamplesSemantic proximity Read

Deep learning for predicting disease status using genomic dataSemantic proximity Read

PSSV: a novel pattern-based probabilistic approach for somatic structural variation identification.Semantic proximity Read