However, given the relatively small performance differences between elaborate and simpler conservation methods in our study, it is likely that new methods also could benefit from integrating more biological data to improve accuracy [28].
As more biological data is available, stochastic modeling is becoming increasingly popular to estimate properties in networks where the time evolution of the system is unpredictable and dependent on unavoidable randomness inherent to the system.
As more biological data becomes available, sophisticated methods for clustering integrated data will be necessary in order to glean more meaningful information about the underlying biology of the samples.
The reasons for the somewhat different conclusions from our own probably relate to the incorporation of more biological data (via highly informative priors) by Tan and Tan [ 132], achieved using Bayesian model fitting techniques.
Tele-health, providing daily-wise data of body weight, blood pressure, pulse, and sometimes even much more biological data could also improve the care of the complex patients with HF.
To potentially glean more biological information from the sequence data, we examined the GO biological process annotations for ESTs represented within B. rapa nectaries, along with 8,771 B. rapa whole flower ESTs, 8,265 B. rapa root ESTs, and 12,448 tobacco nectary ESTs currently available in dbEST.
The development of biological experiment technology has generated more and more biological network data such as protein-protein interaction and gene transcriptional regulatory network data, which brings considerable number of pieces of information about the interactions and relationships between biological organisms.
Second, although our study suggested that rs3748067 and rs8193036 variations of IL-17A gene were associated with the risk of CWP, more biological background data and functional studies are needed to explain the results.
(This figure of 60% is purely arbitrary and could easily be changed based on more accurate biological data).
The corresponding surrounding signaling networks are also integrated, expanded, or modified as more functional biological data and sequencing data become available.
In addition, various methods have been proposed or are being developed to utilize more relevant biological data to construct models for predicting apical adverse responses, including many in silico approaches, molecular or mechanistic data from cells or tissues, or early biomarkers (Aldridge et al., 2006; Alon, 2007; Andersen & Krewski, 2009; Kirman et al., 2010; Yang et al., 2006).
