Buchanan 发表于 2025-3-21 19:32:24
书目名称Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0187208<br><br> <br><br>书目名称Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0187208<br><br> <br><br>书目名称Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0187208<br><br> <br><br>书目名称Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0187208<br><br> <br><br>书目名称Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0187208<br><br> <br><br>书目名称Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0187208<br><br> <br><br>书目名称Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0187208<br><br> <br><br>书目名称Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0187208<br><br> <br><br>书目名称Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0187208<br><br> <br><br>书目名称Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0187208<br><br> <br><br>Free-Radical 发表于 2025-3-21 22:17:59
Identifying Biomarkers with Differential Analysiscal markers) are biological characteristics of pathogenic processes, which can help make diagnostic or prognostic decisions so that necessary interventions can be adopted to prevent the development of diseases. In the post-genomic era, with the accumulation of various kinds of omics data, it is possCumulus 发表于 2025-3-22 04:28:41
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Systems Biology Studies of Gene Network and Cell Signaling Pathway in Cancer Researchogy approaches (i.e. data mining methods for analyzing large amount of omics datasets) and bottom-up systems biology methods (i.e. mathematical modeling using differential equations or chemical reaction systems) for reconstructing cancer-related biological networks in general. Particularly, two casegentle 发表于 2025-3-22 20:12:34
A Network Systems Approach to Identify Functional Epigenetic Drivers in Cancerenue for the discovery of novel biomarkers for early detection, diagnosis and prognosis, as well as offering novel therapeutic opportunities. However, the biological interpretation and functional significance of the epigenetic changes in cancer is still unclear. This chapter describes an emerging coaphasia 发表于 2025-3-23 00:30:37
Identification of Cancer MicroRNA Biomarkers Based on miRNA–mRNA Networkrs potentially contribute to the pathopoiesis of various kinds of human cancers, and are candidate biomarkers for cancer diagnosis and prognosis. Until now, enormous studies have been conducted to explore potential miRNA biomarkers for different types of cancers. In this chapter, we will first provi使纠缠 发表于 2025-3-23 04:44:03
Ubiquitin and Ubiquitin-Like Conjugations in Complex Diseases: A Computational Perspectivet role in almost all aspects of biological processes, and aberrances in the conjugation systems are highly involved in numerous complex diseases. Identification of the Ub/UBL-associated enzymes, substrates and sites is fundamental for understanding the molecular mechanisms of Ub/UBL conjugations, anPericarditis 发表于 2025-3-23 05:46:30
Identification of Biomarkers for Pharmacological Activityndpoints, surrogate endpoints, and particular indicator that respond to drug therapy. The rapid development of high-throughput technologies has facilitated the identification of new biomarkers at different systems levels. In this chapter, we will focus on the recent advance in identifying biomarkers