Dong Yue,Hui Liu,Yufei Huang
Dong Yue
MicroRNAs (miRNAs) are 19 to 25 nucleotides non-coding RNAs known to possess important post-transcriptional regulatory functions. Identifying targeting genes that miRNAs regulate are important for understanding their specific biological fun...
Babak Faryabi,Golnaz Vahedi,Aniruddha Datta et al.
Babak Faryabi et al.
Markovian regulatory networks constitute a class of discrete state-space models used to study gene regulatory dynamics and discover methods that beneficially alter those dynamics. Thereby, this class of models provides a framework to discov...
Ulisses M Braga-Neto
Ulisses M Braga-Neto
Discrete classification is common in Genomic Signal Processing applications, in particular in classification of discretized gene expression data, and in discrete gene expression prediction and the inference of boolean genomic regulatory net...
Clustering algorithms: on learning, validation, performance, and applications to genomics [0.03%]
聚类算法：学习、验证、性能及基因组学应用
Lori Dalton,Virginia Ballarin,Marcel Brun
Lori Dalton
The development of microarray technology has enabled scientists to measure the expression of thousands of genes simultaneously, resulting in a surge of interest in several disciplines throughout biology and medicine. While data clustering h...
Inference of gene regulatory networks using time-series data: a survey [0.03%]
基于时间序列数据的基因调控网络推理研究综述
Chao Sima,Jianping Hua,Sungwon Jung
Chao Sima
The advent of high-throughput technology like microarrays has provided the platform for studying how different cellular components work together, thus created an enormous interest in mathematically modeling biological network, particularly ...
Hidden Markov Models and their Applications in Biological Sequence Analysis [0.03%]
隐马尔可夫模型及其在生物序列分析中的应用
Byung-Jun Yoon
Byung-Jun Yoon
Hidden Markov models (HMMs) have been extensively used in biological sequence analysis. In this paper, we give a tutorial review of HMMs and their applications in a variety of problems in molecular biology. We especially focus on three type...
Review of peak detection algorithms in liquid-chromatography-mass spectrometry [0.03%]
液相色谱-质谱顶峰侦测算法评述
Jianqiu Zhang,Elias Gonzalez,Travis Hestilow et al.
Jianqiu Zhang et al.
In this review, we will discuss peak detection in Liquid-Chromatography-Mass Spectrometry (LC/MS) from a signal processing perspective. A brief introduction to LC/MS is followed by a description of the major processing steps in LC/MS. Speci...
Boolean models of genomic regulatory networks: reduction mappings, inference, and external control [0.03%]
基因调控网络的布尔模型：减少映射、推理和外部控制
Ivan Ivanov
Ivan Ivanov
Computational modeling of genomic regulation has become an important focus of systems biology and genomic signal processing for the past several years. It holds the promise to uncover both the structure and dynamical properties of the compl...
Edward R Dougherty,Jianping Hua,Chao Sima
Edward R Dougherty
High-throughput biological technologies offer the promise of finding feature sets to serve as biomarkers for medical applications; however, the sheer number of potential features (genes, proteins, etc.) means that there needs to be massive ...
Genomic signal processing [0.03%]
基因组信号处理
Edward R Dougherty,Yufei Huang,Seungchan Kim et al.
Edward R Dougherty et al.