A Statistical Analysis of MicroRNA: Classification, Identification and Conservation Based on Structure and Function

被引：1

作者：

Chakraborty, Mohua ^{[1
]}

Chatterjee, Ananya ^{[2
]}

Krithika, S. ^{[3
]}

Vasulu, T. S. ^{[4
]}

机构：

[1] Assam Univ, Silchar, India

[2] Tata Consultancy Serv, Kolkata, India

[3] Coll London, London, England

[4] Indian Stat Inst, Kolkata, India

来源：

GROWTH CURVE AND STRUCTURAL EQUATION MODELING: TOPICS FROM THE INDIAN STATISTICAL INSTITUTE | 2015年 / 132卷

关键词：

Pre and mature miRNA; Length variation; Clustering; Star graphs; miRNA target; Network analysis; Gene-specific-miRNA; miRNA across species; DNA-SEQUENCES; CENTRAL DOGMA; SMALL RNAS; COMPLEX; GENES; EXPRESSION; PREDICTION; FAMILIES; DATABASE; ENCODES;

D O I：

10.1007/978-3-319-17329-0_13

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The microRNAs (miRNAs) are small non-coding RNAs which play an important role in gene regulation and are involved in several biological functions. Studies have shown that there are several hundreds of them across (human) genome. And one miRNA may be involved in several genes and several miRNA may target a gene. In this regard it is interesting to know whether these several known miRNAs show structural and functional similarities. Do they fall into recognisable groups with respect to their structure and function and does the length of miRNA follow evolutionary principles and are highly conserved?. This study with the help of statistical tools explores characterising, identification of (human) miRNA based on their structure and function, network analysis of their relationship and target genes and conservation of their length and sequence structure across species.

引用

页码：223 / 258

页数：36

共 50 条

[21] Classification of Publications Based on Statistical Analysis of Scientific Terms Distributions
Balys, Vaidas
Rudzkis, Rimantas
AUSTRIAN JOURNAL OF STATISTICS, 2008, 37 (01) : 109 - 118
[22] MicroRNA expression classification for pediatric multiple sclerosis identification
Gabriella Casalino
Giovanna Castellano
Arianna Consiglio
Nicoletta Nuzziello
Gennaro Vessio
Journal of Ambient Intelligence and Humanized Computing, 2023, 14 : 15851 - 15860
[23] MicroRNA expression classification for pediatric multiple sclerosis identification
Casalino, Gabriella
Castellano, Giovanna
Consiglio, Arianna
Nuzziello, Nicoletta
Vessio, Gennaro
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 14 (12) : 15851 - 15860
[24] Identification of priority conservation areas based on ecosystem services and systematic conservation planning analysis
Kang Wang
Shuai Li
Ziqian Zhu
Xiang Gao
Xin Li
Wenzhuo Tang
Jie Liang
Environmental Science and Pollution Research, 2023, 30 : 36573 - 36587
[25] Methods in MicroRNA Biogenesis, Identification, Function and Decay
不详
METHODS, 2019, 152 : 1 - 2
[26] Identification of priority conservation areas based on ecosystem services and systematic conservation planning analysis
Wang, Kang
Li, Shuai
Zhu, Ziqian
Gao, Xiang
Li, Xin
Tang, Wenzhuo
Liang, Jie
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (13) : 36573 - 36587
[27] Statistical analysis of the global geodesic function for 3D object classification
Aouada, Djamila
Feng, Shuo
Krim, Hamid
2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PTS 1-3, PROCEEDINGS, 2007, : 645 - 648
[28] Statistical identification of key phrases for text classification
Coenen, Frans
Leng, Paul
Sanderson, Robert
Wang, Yanbo J.
MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, PROCEEDINGS, 2007, 4571 : 838 - +
[29] Analysis of metabolic network based on conservation of molecular structure
Hogiri, Tomoharu
Furusawa, Chikara
Shinfuku, Yohei
Ono, Naoaki
Shimizu, Hiroshi
BIOSYSTEMS, 2009, 95 (03) : 175 - 178
[30] Analysis of microRNA Expression and Function
Van Wynsberghe, Priscilla M.
Chan, Shih-Peng
Slack, Frank J.
Pasquinelli, Amy E.
CAENORHABDITIS ELEGANS: MOLECULAR GENETICS AND DEVELOPMENT, SECOND EDITION, 2011, 106 : 219 - 252

← 1 2 3 4 5 →