標題: Titlebook: Bioinformatics of Human Proteomics; Xiangdong Wang Book 2013 Springer Science+Business Media Dordrecht 2013 clinical bioinformatics.mass s [打印本頁] 作者: CULT 時間: 2025-3-21 18:00
書目名稱Bioinformatics of Human Proteomics影響因子(影響力)
書目名稱Bioinformatics of Human Proteomics影響因子(影響力)學科排名
書目名稱Bioinformatics of Human Proteomics網(wǎng)絡(luò)公開度
書目名稱Bioinformatics of Human Proteomics網(wǎng)絡(luò)公開度學科排名
書目名稱Bioinformatics of Human Proteomics被引頻次
書目名稱Bioinformatics of Human Proteomics被引頻次學科排名
書目名稱Bioinformatics of Human Proteomics年度引用
書目名稱Bioinformatics of Human Proteomics年度引用學科排名
書目名稱Bioinformatics of Human Proteomics讀者反饋
書目名稱Bioinformatics of Human Proteomics讀者反饋學科排名
作者: 安撫 時間: 2025-3-21 21:55
2213-2775 sions are based on rigorous data analysis ?.Includes supplem“Bioinformatics of Human Proteomics” discusses the development of methods, techniques and applications in the field of protein bioinformatics, an important direction in bioinformatics. It collects contributions from expert researchers in or作者: malapropism 時間: 2025-3-22 02:18 作者: Brittle 時間: 2025-3-22 04:46 作者: 青石板 時間: 2025-3-22 09:34 作者: ciliary-body 時間: 2025-3-22 14:39
Key Element: Si / Schlüsselelement: Sification of multiple protein biomarkers is achieved. We present these technological developments in relation to disease diagnosis and treatment and provide two examples where significant progress has been made.作者: 催眠藥 時間: 2025-3-22 19:05 作者: 大猩猩 時間: 2025-3-22 21:44
Clinical and Biomedical Mass Spectrometry: New Frontiers in Drug Developments and Diagnosis,fication of multiple protein biomarkers is achieved. We present these technological developments in relation to disease diagnosis and treatment and provide two examples where significant progress has been made.作者: 嚴厲譴責 時間: 2025-3-23 02:35 作者: 夾死提手勢 時間: 2025-3-23 08:30
Key Element: Si / Schlüsselelement: Sicovery to a systems-oriented paradigm. This chapter summarizes recent advances and future perspectives in proteomic study of cancer biomarkers. Of particular interest in this chapter is to describe the emerging network-based biomarker discovery as improved strategies against cancer intervention.作者: 濕潤 時間: 2025-3-23 10:10
Antibody Microarrays and Multiplexing,eration, differential analysis, and classification are covered. The focus is on the implementation of each technique to the technology and its suitability in relation to sample types and experiment design.作者: Charitable 時間: 2025-3-23 16:32
Proteomics in Anaesthesia and Intensive Care Medicine,rocesses. Analysis of proteome allows individuating proteins that act as biomarkers, which have many potential roles in clinical practice: diagnosis, response to treatment, risk stratification and prognosis. This chapter summarises the most important proteomics application in anaesthesiology and critical care.作者: 搖晃 時間: 2025-3-23 21:29
Xiangdong WangProvides practical and useful designs and methodologies.Reports the viewpoints of internationally distinguished scholars in the field.Conclusions are based on rigorous data analysis ?.Includes supplem作者: Agility 時間: 2025-3-23 23:34 作者: 漸變 時間: 2025-3-24 05:49 作者: 清楚說話 時間: 2025-3-24 08:51
978-94-017-8497-9Springer Science+Business Media Dordrecht 2013作者: vanquish 時間: 2025-3-24 11:43
Key Element: Si / Schlüsselelement: Siovement in the technology of both two-dimensional electrophoresis (2-DE) analysis as well as quantitative iTRAQ has made proteomics a valuable and powerful tool to study human diseases. Clinical bioinformatics, emerging science combining clinical informatics, bioinformatics, medical informatics, inf作者: adhesive 時間: 2025-3-24 18:09 作者: 騙子 時間: 2025-3-24 20:10
Key Element: Si / Schlüsselelement: Siplications. In this chapter, we review available methodologies relevant to this field and describe a simple approach to the design and fabrication of cancer-antigen arrays suitable for cancer biomarker discovery through serological analysis of cancer patients. We consider general issues that arise i作者: 聰明 時間: 2025-3-25 03:08 作者: 向外供接觸 時間: 2025-3-25 06:03 作者: 美色花錢 時間: 2025-3-25 10:53
Key Element: Si / Schlüsselelement: Sim-up, and top-down, although top-down has not yet reached its full potential. Though numerous techniques have been developed to assist the achievement of accurate results in large scale with high-throughput capability, the field of proteomics is still driven by the development of new technologies fo作者: 昏睡中 時間: 2025-3-25 13:04 作者: famine 時間: 2025-3-25 16:57
Key Element: Si / Schlüsselelement: Site lesion characterization and tumour’s follow-up. It allows detecting relevant changes that cannot be appreciated in the conventional MR images. Nowadays, MRS has been widely applied in many different brain pathologies with excellent results as a disease biomarker. Since the different diseases and 作者: NOVA 時間: 2025-3-25 21:36
Key Element: Si / Schlüsselelement: Si clinical applications is more and more increasing, thanks to the development of high-performing instruments which allow the discovery of disease-specific biomarkers and an automated and rapid protein profiling of the analyzed samples. In this scenario, the large-scale production of proteomic data h作者: 善于騙人 時間: 2025-3-26 03:50 作者: blister 時間: 2025-3-26 05:39
Key Element: Si / Schlüsselelement: Sition of the proteome-wide differences between multiple biological samples. Developments of more effective programs for the relative peptide/protein abundance measurements are essential for quantitative proteomic analysis. In this chapter, we present a quantification program, termed UNiquant, for ana作者: sparse 時間: 2025-3-26 12:31
Key Element: Si / Schlüsselelement: Siuantitative proteomics methods such as stable isotope labeling by amino acids in cell culture (SILAC), isobaric peptide tags for relative and absolute quantification (iTRAQ), and label-free can be chosen. A common endpoint for a biomarker discovery experiment is a list of putative marker proteins. A作者: 揭穿真相 時間: 2025-3-26 13:20 作者: 氣候 時間: 2025-3-26 19:22 作者: 不可救藥 時間: 2025-3-26 21:35
d7629, XIII.2.5 Further oxoborates,rocesses. Analysis of proteome allows individuating proteins that act as biomarkers, which have many potential roles in clinical practice: diagnosis, response to treatment, risk stratification and prognosis. This chapter summarises the most important proteomics application in anaesthesiology and cri作者: 得罪人 時間: 2025-3-27 04:05
Bioinformatics of Human Proteomics978-94-007-5811-7Series ISSN 2213-2775 Series E-ISSN 2213-2783 作者: FLIC 時間: 2025-3-27 05:40
Key Element: Si / Schlüsselelement: Sieration, differential analysis, and classification are covered. The focus is on the implementation of each technique to the technology and its suitability in relation to sample types and experiment design.作者: Inculcate 時間: 2025-3-27 13:16 作者: 誹謗 時間: 2025-3-27 16:18 作者: 我正派 時間: 2025-3-27 18:00
Proteomics Defines Protein Interaction Network of Signaling Pathways, to the understanding of the regulation of signal pathways. Different approaches have been used to discover PPI and characterize protein complexes. In addition to conventional PPI methods, such as yeast two-hybrid (YTH), affinity purification coupled with mass spectrometry (AP-MS) is emerging as an 作者: Facilities 時間: 2025-3-28 01:24 作者: 改變 時間: 2025-3-28 05:28
Proteomics and Cancer Research,. There is an urgent need to identify clinically relevant markers for better diagnosis, prognosis, monitoring treatment efficacy, and accelerating the development of novel targeted therapeutics. Proteomics study of cancer may identify and characterize functional proteins that drive the transformatio作者: chalice 時間: 2025-3-28 10:18 作者: anaphylaxis 時間: 2025-3-28 12:43 作者: 情節(jié)劇 時間: 2025-3-28 16:55 作者: Aspirin 時間: 2025-3-28 20:40
Disease Biomarkers: Modelling MR Spectroscopy and Clinical Applications,te lesion characterization and tumour’s follow-up. It allows detecting relevant changes that cannot be appreciated in the conventional MR images. Nowadays, MRS has been widely applied in many different brain pathologies with excellent results as a disease biomarker. Since the different diseases and 作者: Anecdote 時間: 2025-3-29 01:37 作者: 留戀 時間: 2025-3-29 03:51 作者: Bravura 時間: 2025-3-29 07:22 作者: 無可非議 時間: 2025-3-29 12:19
Clinical Translation of Protein Biomarkers Integrated with Bioinformatics,uantitative proteomics methods such as stable isotope labeling by amino acids in cell culture (SILAC), isobaric peptide tags for relative and absolute quantification (iTRAQ), and label-free can be chosen. A common endpoint for a biomarker discovery experiment is a list of putative marker proteins. A作者: Esalate 時間: 2025-3-29 18:01 作者: 泥沼 時間: 2025-3-29 19:48
Antibody Microarrays and Multiplexing,eration, differential analysis, and classification are covered. The focus is on the implementation of each technique to the technology and its suitability in relation to sample types and experiment design.作者: 有害處 時間: 2025-3-30 03:54
Proteomics in Anaesthesia and Intensive Care Medicine,rocesses. Analysis of proteome allows individuating proteins that act as biomarkers, which have many potential roles in clinical practice: diagnosis, response to treatment, risk stratification and prognosis. This chapter summarises the most important proteomics application in anaesthesiology and cri作者: 無能的人 時間: 2025-3-30 07:05 作者: 推延 時間: 2025-3-30 09:31
Clinical Bioinformatics in Human Proteomics Research,proteome-based analysis is a promising tool for the identification of prognostic and diagnostic markers as well as for novel therapeutic targets which could be used for the treatment of diseases. The integration of proteome-based approaches with data from genomic or genetic profiling will lead to a 作者: Mere僅僅 時間: 2025-3-30 15:18
Proteomics Defines Protein Interaction Network of Signaling Pathways,to probe dynamic PPI dependent on protein posttranslational modifications, which is common for signal transduction. AP-MS mapping protein interaction network of various signal pathways has dramatically increased in recent years. Here, I’ll present the strategies toward obtaining an interactome map o作者: 皺痕 時間: 2025-3-30 17:36
Protein Function Microarrays: Design, Use and Bioinformatic Analysis in Cancer Biomarker Discovery otein microarray data. We exemplify this overall approach by reference to the creation of a multiplexed cancer-antigen microarray that contains 100 unique, purified, immobilised antigens in a spatially defined array, and we describe specific methods for serological assay and data analysis on such mi作者: 帶來墨水 時間: 2025-3-31 00:01
Toward Development of Novel Peptide-Based Cancer Therapeutics: Computational Design and Experimentatudy, we present and discuss three novel bioactive peptide -analogues, designed using the Resonant Recognition Model (RRM), and discuss their biological effects on normal and tumor cells from mouse and human origins.作者: infatuation 時間: 2025-3-31 03:32 作者: 江湖騙子 時間: 2025-3-31 08:36 作者: harpsichord 時間: 2025-3-31 10:48
Processing of Mass Spectrometry Data in Clinical Applications,ing the integration of experimental data with network datasets, as valuable instrument for identifying alterations that underline the emergence of specific phenotypes. Based on our experience, we show some examples taking into consideration experimental data obtained by multidimensional protein iden作者: Corporeal 時間: 2025-3-31 17:21 作者: FICE 時間: 2025-3-31 19:10
Proteomic Approaches for Urine Biomarker Discovery in Bladder Cancer,28, identified by proteomic approaches and confirmed by ELISA, showed significant differences compared with normal individuals. The upregulation of urinary ADAM28 in bladder cancer was revealed, so it may be a biomarker of bladder cancer.作者: 殺死 時間: 2025-4-1 00:31
