Protein Target Quantification Decision Tree

نویسندگان

  • Jong Won Kim
  • Jinsam You
چکیده

The utility of mass spectrometry-(MS-) based proteomic platforms and their clinical applications have become an emerging field in proteomics in recent years. Owing to its selectivity and sensitivity, MS has become a key technological platform in proteomic research. Using this platform, a large number of potential biomarker candidates for specific diseases have been reported. However, due to lack of validation, none has been approved for use in clinical settings by the Food and Drug Administration (FDA). Successful candidate verification and validation will facilitate the development of potential biomarkers, leading to better strategies for disease diagnostics, prognostics, and treatment. With the recent new developments in mass spectrometers, high sensitivity, high resolution, and high mass accuracy can be achieved. This greatly enhances the capabilities of protein biomarker validation. In this paper, we describe and discuss recent developments and applications of targeted proteomics methods for biomarker validation.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Fault Tree Linking versus Event Tree Linking Approaches: A Mathematical and Algorithmic Reconciliation

Two well-known modeling approaches are in use in Probabilistic Risk Assessment (PSA/PRA): Fault Tree Linking (FTL) and Event Tree Linking (ETL). The question of which modeling approach is best appropriate for specific applications has been extensively, if not emotionally, debated among experts in the past two decades, addressing both modeling and quantification issues. In this article, we deter...

متن کامل

Evaluation of liquefaction potential based on CPT results using C4.5 decision tree

The prediction of liquefaction potential of soil due to an earthquake is an essential task in Civil Engineering. The decision tree is a tree structure consisting of internal and terminal nodes which process the data to ultimately yield a classification. C4.5 is a known algorithm widely used to design decision trees. In this algorithm, a pruning process is carried out to solve the problem of the...

متن کامل

Identification of the most important factors of ethnic differences in anthropometric dimensions of Iranian workers using the decision tree

Background and aims: Anthropometry is the branch of human science that considers the physical measurement of the human body, especially size and shape. One application of anthropometrical data in ergonomics is the design of working space and the development of industrialized products. So that the tools, equipment and workstations, which designed based on the physical dimensions of the workers, ...

متن کامل

Steel Buildings Damage Classification by damage spectrum and Decision Tree Algorithm

Results of damage prediction in buildings can be used as a useful tool for managing and decreasing seismic risk of earthquakes. In this study, damage spectrum and C4.5 decision tree algorithm were utilized for damage prediction in steel buildings during earthquakes. In order to prepare the damage spectrum, steel buildings were modeled as a single-degree-of-freedom (SDOF) system and time-history...

متن کامل

A New Algorithm for Optimization of Fuzzy Decision Tree in Data Mining

Decision-tree algorithms provide one of the most popular methodologies for symbolic knowledge acquisition. The resulting knowledge, a symbolic decision tree along with a simple inference mechanism, has been praised for comprehensibility. The most comprehensible decision trees have been designed for perfect symbolic data. Classical crisp decision trees (DT) are widely applied to classification t...

متن کامل

A new method of building decision tree based on target information

The algorithm of unit pre-selection based decision tree has been adopted in the corpus-based TTS system, but the effect of the decision tree, which is built by conventional methods, is not satisfactory. This paper proposed a new method of building a decision tree based on a mass of target information obtained in the synthesizing course. By synthesizing a large quantity of text and logging the i...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 2013  شماره 

صفحات  -

تاریخ انتشار 2013