相关实验视频

Updated: Jul 20, 2025

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
11:02

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

19.5K

AIVariant:一种基于深度学习的体变异检测器,用于高度污染的瘤样本.

Hyeonseong Jeon1,2, Junhak Ahn2,3, Byunggook Na4

  • 1Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea.

Experimental & molecular medicine
|July 31, 2023
PubMed
概括

在低纯度或低深度瘤样本中检测体质DNA变异是困难的. 在广泛的真实数据上训练的深度学习模型AIVariant显著提高了变体检测准确度,特别是在具有挑战性的低资源场景中.

更多相关视频

Comparative Lesions Analysis Through a Targeted Sequencing Approach08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

6.8K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K

相关概念视频

Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
12.0K