Results 81 to 90 of about 2,126,918 (327)

History Matching Using Principal Component Analysis [PDF]

, 2011
Imperial Users ...
Sharma, Akshay, Sharma, Akshay
core  

Principal Component Analysis of SDSS Stellar Spectra

, 2010
We apply Principal Component Analysis (PCA) to ~100,000 stellar spectra obtained by the Sloan Digital Sky Survey (SDSS). In order to avoid strong non-linear variation of spectra with effective temperature, the sample is binned into 0.02 mag wide ...
Abazajian, Allende Prieto, Allende Prieto, Amy E. Kimball, Beers, Connolly, Connolly, Covey, Eisenstein, Eisenstein, Fan, Finlator, Gunn, Ivezić, Ivezić, Ivezić, Lee, Lee, Lenz, Richards, Rosalie C. McGurk, Schlegel, Sirko, Smolčić, Strauss, Yanny, Yip, York, Željko Ivezić   +28 more
core   +1 more source

B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses

FEBS Letters, EarlyView.
B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro, Marco Cellani, Cristina Scielzo   +2 more
wiley   +1 more source

Principal component analysis for authorship attribution

Business Systems Research, 2012
Background: To recognize the authors of the texts by the use of statistical tools, one first needs to decide about the features to be used as author characteristics, and then extract these features from texts. The features extracted from texts are mostly
Amir Jamak, Alen Savatic, Mehmet Can
doaj  

Evolutionary interplay between viruses and R‐loops

FEBS Letters, EarlyView.
Viruses interact with specialized nucleic acid structures called R‐loops to influence host transcription, epigenetic states, latency, and immune evasion. This Perspective examines the roles of R‐loops in viral replication, integration, and silencing, and how viruses co‐opt or avoid these structures.
Zsolt Karányi, Zita Képes, Zoltán Szabó, Eszter Csoma, Lóránt Székvölgyi   +4 more
wiley   +1 more source

Statistical and computational techniques for extraction of underlying systematic risk factors: a comparative in the Mexican stock exchange

Revista Finanzas y Política Económica, 2021
This paper compares the dimension reduction or feature extraction techniques, e.g., Principal Component Analysis, Factor Analysis, Independent Component Analysis and Neural Networks Principal Component Analysis, which are used as techniques for ...
Rogelio, Salvador Torra Porras, Enric Monte Moreno   +2 more
doaj  

A Principal Component Analysis in Switchgrass Chemical Composition

Energies, 2016
In recent years, bioenergy has become a promising renewable energy source that can potentially reduce the greenhouse emissions and generate economic growth in rural areas.
Mario Aboytes-Ojeda, Krystel K. Castillo-Villar, Tun-hsiang E. Yu, Christopher N. Boyer, Burton C. English, James A. Larson, Lindsey M. Kline, Nicole Labbé   +7 more
doaj   +1 more source

Purification tags markedly affect self‐aggregation of CPEB3

FEBS Letters, EarlyView.
Although recombinant proteins are used to study protein aggregation in vitro, uncleaved tags can interfere with accurate interpretation. Our findings demonstrate that His₆‐GFP and His₁₂ tags significantly affect liquid droplet and amyloid fibril formation in the intrinsically disordered region (IDR) of mouse cytoplasmic polyadenylation element‐binding ...
Harunobu Saito, Yujin Lee, Motoharu Ueno, Naotaka Sekiyama, Masatomo So, Ayako Furukawa, Kenji Sugase   +6 more
wiley   +1 more source

Group-Wise Principal Component Analysis for Exploratory Intrusion Detection

IEEE Access, 2019
Intrusion detection is a relevant layer of cybersecurity to prevent hacking and illegal activities from happening on the assets of corporations. Anomaly-based Intrusion Detection Systems perform an unsupervised analysis on data collected from the network
Jose Camacho, Roberto Theron, Jose M. Garcia-Gimenez, Gabriel Macia-Fernandez, Pedro Garcia-Teodoro   +4 more
doaj   +1 more source

Use of Principal Component Analysis and Cluster Analysis for Differentiation of Traditionally-Manufactured Vinegars Based on Phenolic and Volatile Profiles, and Antioxidant Activity

Polish Journal of Food and Nutrition Sciences, 2020
This study aimed to characterize twelve vinegar samples produced by the traditional method with the use of whole fruits and without any preservatives in terms of their physicochemical properties, total phenolic content (TPC), total flavonoid content (TFC)
Ayse Karadag, Fatih Bozkurt, Hatice Bekiroglu, Osman Sagdic   +3 more
doaj   +1 more source