概括
机器学习 (ML) 正在通过分析复杂的生物数据来改变科学. 本综述探讨了生物科学的ML算法和策略,解决了诸如小数据集和生物变异性等挑战.
科学领域:
- *生物科学,包括分子生物学,药物开发,生物物理学和生物材料科学.
背景情况:
- * 机器学习 (ML) 通过处理庞大的数据集,彻底改变了各种领域,导致智能系统和新的科学见解.
- *在生物科学中应用ML存在独特的挑战,原因是耗时的数据收集,小的数据集,以及生物系统固有的复杂性和可变性.
研究的目的:
- * 提供常用的ML算法和学习策略的概述.
- *讨论ML在不同生物学科中的应用.
- *强调将研究问题转化为机器可读的格式,并解决相关挑战.
主要方法:
- * 审查已建立的机器学习算法和学习策略.
- *分析分子生物学,药物开发,生物物理学和生物材料科学中成功应用的情况.
- *讨论将研究问题转换为适合机器学习分析的格式的方法.
主要成果:
- * 确定了常用的ML算法和适用于生物科学的学习策略.
- * 证明成功地将生物科学研究问题翻译成ML可编译的格式.
- * 概述了在生物科学中应用ML时遇到的典型挑战和建议的解决方案.
结论:
- * 尽管存在固有的数据挑战,但机器学习为生物科学的发展提供了巨大的潜力.
- * 本综述为有效地在生物研究中应用ML提供了一个框架.
- *解决数据的局限性和复杂性是释放ML在生物科学中的全部潜力的关键.
更多相关视频
08:51Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
Published on: September 20, 2024
1.2K
07:15Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
6.8K
相关概念视频
01:33Proteomics
7.3K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.3K
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
53
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
53
01:25Applications Of NMR In Biology
3.7K
Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
3.7K