scholarly journals Article Commentary: Rough Set Soft Computing Cancer Classification and Network: One Stone, Two Birds

2010 ◽  
Vol 9 ◽  
pp. CIN.S4874 ◽  
Author(s):  
Yue Zhang
Keyword(s):  
Soft Computing ◽  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
Cancer Classification ◽  
Soft Computing Method ◽  
Direct Gene ◽  
Gene Regulatory ◽  
Variable Precision Rough Sets ◽  
Computing Method ◽  
Selection Of

Gene expression profiling provides tremendous information to help unravel the complexity of cancer. The selection of the most informative genes from huge noise for cancer classification has taken centre stage, along with predicting the function of such identified genes and the construction of direct gene regulatory networks at different system levels with a tuneable parameter. A new study by Wang and Gotoh described a novel Variable Precision Rough Sets-rooted robust soft computing method to successfully address these problems and has yielded some new insights. The significance of this progress and its perspectives will be discussed in this article.

scholarly journals Premature Ovarian Insufficiency: Past, Present, and Future

2021 ◽  
Vol 9 ◽  
Author(s):  
Seung Joo Chon ◽  
Zobia Umair ◽  
Mee-Sup Yoon
Keyword(s):  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
Genetic Basis ◽  
Ovarian Function ◽  
Premature Ovarian Insufficiency ◽  
Ovarian Insufficiency ◽  
Non Coding Rna ◽  
Gene Regulatory ◽  
Near Future ◽  
Selection Of

Premature ovarian insufficiency (POI) is the loss of normal ovarian function before the age of 40 years, a condition that affects approximately 1% of women under 40 years old and 0.1% of women under 30 years old. It is biochemically characterized by amenorrhea with hypoestrogenic and hypergonadotropic conditions, in some cases, causing loss of fertility. Heterogeneity of POI is registered by genetic and non-genetic causes, such as autoimmunity, environmental toxins, and chemicals. The identification of possible causative genes and selection of candidate genes for POI confirmation remain to be elucidated in cases of idiopathic POI. This review discusses the current understanding and future prospects of heterogeneous POI. We focus on the genetic basis of POI and the recent studies on non-coding RNA in POI pathogenesis as well as on animal models of POI pathogenesis, which help unravel POI mechanisms and potential targets. Despite the latest discoveries, the crosstalk among gene regulatory networks and the possible therapies targeting the same needs to explore in near future.

scholarly journals The Invariant Nature of a Morphological Character and Character State: Insights from Gene Regulatory Networks

2018 ◽  
Author(s):  
Sergei Tarasov
Keyword(s):  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
Morphological Character ◽  
Phylogenetic Analyses ◽  
State Transitions ◽  
Character State ◽  
Complex Character ◽  
Gene Regulatory ◽  
Hierarchical Nature ◽  
Selection Of

AbstractWhat constitutes a morphological character versus character state has been long discussed in the systematics literature but the consensus on this issue is still missing. Different methods of classifying organismal features into characters and character states can dramatically affect the results of phylogenetic analyses. Here, I show that the modular structure of the gene regulatory network (GRN) underlying trait development, and the hierarchical nature of GRN evolution, essentially remove the distinction between morphological character and character state, thus endowing the character and character state with an invariant property with respect to each other. This property allows representing the states of one character as several individual characters and vice versa. In practice, this means that a phenotype can be encoded using a set of characters or just one complex character with numerous states. The representation of a phenotype using one complex character requires a selection of an appropriate penalty for the state transitions.

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