Chemometrics: a versatile tool to explore large dataset

نویسندگان

  • Špela Župerl
  • Katja Stopar
  • Marjana Novič
چکیده

Chemometrics is the field of science covering the development and application of mathematical and statistical methods to identify important chemical information. It is indispensable in the evaluation of experimental results and suitable for exploration of large data sets. Within the Trans2Care project we intend to apply chemometrics methods in several areas related to the problems explored by the Project partners. In particular we shall investigate transmembrane protein transport mechanism with data-driven modelling approach and also applying biomolecular simulations. We’ll combine our theoretical approach with experimental data provided by the Project partners, which will contribute to a better exploration of the available information in biomolecular systems studied, in the research of neurodegenerative diseases, in cardiovascular and pathohistological research. It will also intensify the collaboration, mobility of researchers and exchange of knowledge between partners. Index Terms — chemometrics, data mining, predictive modelling, transmembrane proteins

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

Chemometrics-enhanced Classification of Source Rock Samples Using their Bulk Geochemical Data: Southern Persian Gulf Basin

Chemometric methods can enhance geochemical interpretations, especially when working with large datasets. With this aim, exploratory hierarchical cluster analysis (HCA) and principal component analysis (PCA) methods are used herein to study the bulk pyrolysis parameters of 534 samples from the Persian Gulf basin. These methods are powerful techniques for identifying the patterns of variations i...

متن کامل

Stand-off hyperspectral imaging – towards mobile, high throughput remote chemical identification and quantification using chemometrics

Stand-off Raman spectroscopy is a versatile tool for a variety of applications, such as safety investigations, forensics or geosciences. During the project “OPTIX” (FP7) we showed that the detection of small amounts of explosives and hazardous chemicals at distance of 100 m is possible even through opaque containers. Here, we present a different approach to remote Raman sensing employing hypers...

متن کامل

Chemometrics in Chromatography

Figure 1 Classification of chromatograms are based on the relative abundance of all the peaks in the mixture. Chromatography is an extremely versatile technique for the analytical laboratory. The chromatographic patterns generated by modern instruments are used in a wide variety of quantitative and qualitative analyses. The techniques are robust enough (and we have assembled experience enough) ...

متن کامل

Using a Data Mining Tool and FP-Growth Algorithm Application for Extraction of the Rules in two Different Dataset (TECHNICAL NOTE)

In this paper, we want to improve association rules in order to be used in recommenders. Recommender systems present a method to create the personalized offers. One of the most important types of recommender systems is the collaborative filtering that deals with data mining in user information and offering them the appropriate item. Among the data mining methods, finding frequent item sets and ...

متن کامل

Unsupervised Clustering: A Fast Scalable Method for Large Datasets

Fast and eeective unsupervised clustering is a fundamental tool in unsupervised learning. Here is a new method to explore large datasets that enjoys many favorable properties. It is fast and eeective, and produces a hierarchical structure on the underlying dataset, without using a training set. It also yields auxiliary information on the signiicance of the diierent attributes.

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   شماره 

صفحات  -

تاریخ انتشار 2014