Deriving accurate molecular indicators of protein synthesis through Raman-based sparse classification

نویسندگان

چکیده

Sparse Raman-based models can reach high accuracy and stability for the prediction of fine biological processes (immune activation protein synthesis), privilege use side bands discriminating cellular differences.

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Rice Classification and Quality Detection Based on Sparse Coding Technique

Classification of various rice types and determination of its quality is a major issue in the scientific and commercial fields associated with modern agriculture. In recent years, various image processing techniques are used to identify different types of agricultural products. There are also various color and texture-based features in order to achieve the desired results in this area. In this ...

متن کامل

Protein synthesis: Imprinting through molecular mimicry

The translation of genetic messages into proteins on ribosomes is catalyzed by a number of proteins that bind transiently to the ribosome [1,2]. These are the initiation, elongation and release (termination) factors. Several of these factors are GTP-hydrolyzing (G) proteins, which undergo a conformation transition between an active state with bound GTP and an inactive state with bound GDP. In b...

متن کامل

Accurate Determination of GPS Receiver with Different Classification Methods

One of the instruments for determination of position used in several applications is the Global Positioning System (GPS). With a cheap GPS receiver, we can easily find the approximate position of an object. Accuracy estimation depends on some parameters such as dilution of precision, atmospheric error, receiver noise, and multipath. In this study, position accuracy with GPS receiver is classifi...

متن کامل

On Deriving Indicators from Texts

This paper presents and explores the idea of deriving numerical indicators from texts, that is, converting text data to numerical data that has predictive or diagnostic value. One application of such a general capability is to the provisional identification of networks, or rather, of associations within networks. Conversely, given a network structure among entities that are associated with vari...

متن کامل

Similarity Learning for Provably Accurate Sparse Linear Classification

In recent years, the crucial importance of metrics in machine learning algorithms has led to an increasing interest for optimizing distance and similarity functions. Most of the state of the art focus on learning Mahalanobis distances (requiring to fulfill a constraint of positive semi-definiteness) for use in a local k-NN algorithm. However, no theoretical link is established between the learn...

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

ژورنال

عنوان ژورنال: Analyst

سال: 2021

ISSN: ['1364-5528', '0003-2654']

DOI: https://doi.org/10.1039/d1an00412c