Titlebook: Induced Pluripotent Stem (iPS) Cells; Methods and Protocol Andras Nagy,Kursad Turksen Book 2022Latest edition The Editor(s) (if applicable)

CHASM

Clinch

Bernat del Olmo,Daria Merkurjev,Likun Yao,Mel·lina Pinsach-Abuin,Ivan Garcia-Bassets,Angels Almenar-nto linearly uncorrelated variables called principal components. PCA is one of the simplest methods based on the eigenvector analysis. This method is widely used in many fields, such as signal processing, quality control or mechanical engineering. In this paper, we present the use of PCA in area of

Protein

Varvara Chalmantzi,Chara Simitzi,Angelos Papadopoulos,Eleni Bagli,Carol Murphy,Emmanuel Stratakis,Thnto linearly uncorrelated variables called principal components. PCA is one of the simplest methods based on the eigenvector analysis. This method is widely used in many fields, such as signal processing, quality control or mechanical engineering. In this paper, we present the use of PCA in area of

字形刻痕

Oriol Iborra-Egea,Daina Martínez-Falguera,Santiago Roura,Antoni Bayes-Genis,Ángel Raya,Carolina Gálvnto linearly uncorrelated variables called principal components. PCA is one of the simplest methods based on the eigenvector analysis. This method is widely used in many fields, such as signal processing, quality control or mechanical engineering. In this paper, we present the use of PCA in area of

Inflated

摊位

José González-Martínez,Marcos Malumbresonal institutions have been forced to offer contextualized training programs according to the personal characteristics of the actors. The article presents the results of a research carried out at Barranquilla-Colombia, whose objective was to analyze the relationship between the appropriation of ICT

飞镖

Hao Zhang,Mengcheng Shen,Joseph C. Wuraction with tourists, generate mobility in the environment and with other users, and provide helpful information about the destination. However, recommender systems applied to tourism tend to focus mainly on the indicator of destination promotion and management, neglecting other competitiveness ind

PACK

Axel J. Chu,Chinten James Limraction with tourists, generate mobility in the environment and with other users, and provide helpful information about the destination. However, recommender systems applied to tourism tend to focus mainly on the indicator of destination promotion and management, neglecting other competitiveness ind

SEED

Intractable

Sarkawt Hamad,Daniel Derichsweiler,Jürgen Hescheler,Kurt Pfannkuchebases and services enabling the indexed information searching. In the early stages the primary focus of MIR was on music information through Query-by-Humming (QBH) applications, i.e. on identifying a piece of music by singing (singing/whistling), while more advanced implementations supporting Query-