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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.8K
Phylogenetic Trees03:21

Phylogenetic Trees

45.6K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
45.6K
Tumor Progression02:07

Tumor Progression

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Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
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相关实验视频

Updated: Jul 25, 2025

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

6.8K

一种基于距离的加权方法来获得共识瘤进化树.

Ziyun Guang1, Matthew Smith-Erb1, Layla Oesper1

  • 1Department of Computer Science, Carleton College, Northfield, MN 55057, USA.

Bioinformatics (Oxford, England)
|June 30, 2023
PubMed
概括

我们开发了TuELiP,这是一个算法,可以从多个推断树中创建一个共识性瘤进化树. 这种方法通过结合信心权重来提高准确性,优于对模拟和真实癌症数据的现有方法.

科学领域:

  • 计算生物学是一种计算生物学.
  • 癌症基因组学 癌症基因组学
  • 人类遗传学 是一个学科.

背景情况:

  • 瘤中的体质突变形成了进化树,但这些是推断的,不是直接观察到的.
  • 现有的算法可以为同一个患者产生冲突的瘤树.
  • 将多个推断瘤树结合成一个共识树对于准确的进化历史重建至关重要.

研究的目的:

  • 引入权重的m-瘤树共识问题 (W-m-TTCP) 来创建共识瘤树.
  • 介绍一下TuELiP,一个使用整数线性编程解决W-m-TTCP的算法.
  • 为了实现输入瘤树的差异加权,以改善共识.

主要方法:

  • 为权重的m-瘤树共识问题的整数线性编程公式.
  • 开发一个TuELiP算法来解决W-m-TTCP.
  • 使用模拟数据集和三阴性乳腺癌数据集进行评估.

主要成果:

  • 与模拟数据上的两种现有方法相比,TuELiP在识别真正的进化树方面表现优越.
  • 将信任权重纳入共识过程导致了更准确的树推断.
  • 对三阴性乳腺癌数据集的分析强调了信任权重对最终的共识树的重大影响.

更多相关视频

Non-Destructive Evaluation of Regional Cell Density Within Tumor Aggregates Following Drug Treatment
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Non-Destructive Evaluation of Regional Cell Density Within Tumor Aggregates Following Drug Treatment

Published on: June 21, 2022

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Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
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Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

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相关实验视频

Last Updated: Jul 25, 2025

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

6.8K
Non-Destructive Evaluation of Regional Cell Density Within Tumor Aggregates Following Drug Treatment
10:13

Non-Destructive Evaluation of Regional Cell Density Within Tumor Aggregates Following Drug Treatment

Published on: June 21, 2022

2.2K
Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
09:53

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

7.3K

结论:

  • TuELiP提供了一种有效的方法,用于构建加权共识瘤进化树.
  • 使用信任权重可以提高癌症基因组学中遗传学推断的准确性.
  • TuELiP算法和相关数据是公开可用的,以便进一步研究.