Results 131 to 140 of about 2,261,156 (339)

Principal component analysis in tourism marketing [PDF]

The analysis methods of the interdependences are meant to give a meaning to a set of variables or to group variables in a certain way. This work includes analysis in principal components.
Erika KULCSÁR
core  

Modelling complex population structure usingF-statistics and Principal Component Analysis [PDF]

, 2021
Benjamin M. Peter
openalex   +1 more source

Predictors of response and rational combinations for the novel MCL‐1 inhibitor MIK665 in acute myeloid leukemia

Molecular Oncology, EarlyView.
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad, Rhiannon Newman, Elmira Khabusheva, Sofia Aakko, Eric Durand, Mahesh Tambe, Heikki Kuusanmäki, Alun Parsons, Juho J. Miettinen, Komal Kumar Javarappa, Ezgi June Olgac, Nemo Ikonen, Mika Kontro, Kimmo Porkka, Heiko Maacke, Janghee Woo, Ensar Halilovic, Caroline A. Heckman   +17 more
wiley   +1 more source

Shadow Bank Scale and Financial Risk Prevention and Control Ability An Empirical Study Based on Principal Component Analysis [PDF]

, 2023
Jieping Cai, Aijia Wang
openalex   +1 more source

Feasibility of a ctDNA multigenic panel for non‐small‐cell lung cancer early detection and disease surveillance

Molecular Oncology, EarlyView.
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande, Marcela de Oliveira Silva, Mariana Bisarro dos Reis, Rodrigo de Oliveira Cavagna, Luciane Sussuchi, Icaro Alves Pinto, Natalia Zampieri Pontes, Rodrigo Sampaio Chiarantano, Flavio Augusto Ferreira da Silva, Pedro de Marchi, Letícia Ferro Leal, Rui M. Reis   +11 more
wiley   +1 more source

New Insights on Principal Component Analysis

, 2023
García Márquez, Fausto Pedro 1974-, Papaelias Mayorkinos, Sánchez Loja, René-Vinicio   +2 more
openalex   +2 more sources

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

Correlation and principal component analysis of clinical, bioelectrical and functional variables in newly diagnosed lung cancer adult patients. Pilot study [PDF]

, 2022
Justa Carmen Columbié Regüeiferos, Taira Teresa Batista Luna, Soraida Cándida Acosta Brooks, Maylet Planas Rodríguez, Larisa Zamora Matamoros, Beatríz Legrá Rodríguez, Arnolis Poll Fernández, José Luis García Bello, Arquímedes Montoya Pedrón, Maraelys Morales González, Julio Cesar Núñez Garcia, Esmirna Cascaret Fonseca, Luis Enrique Bergues Cabrales   +12 more
openalex   +1 more source

The neural crest‐associated gene ERRFI1 is involved in melanoma progression and resistance toward targeted therapy

Molecular Oncology, EarlyView.
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang, Qian Sun, Daniel Novak, Lei Zhu, Juliane Poelchen, Tamara Steinfass, Yiman Wang, Viktor Umansky, Jochen Utikal   +8 more
wiley   +1 more source

A Topological Principal Component Analysis.

, 2020
Topological Principal Component Analysis (TPCA) is a multidimensional descriptive method witch studies a homogeneous set of continuous variables defined on the same set of individuals. Its a topological method of data analysis that consists of comparing and classifying proximity measures from among some of the most widely used measures for continuous ...
openaire   +2 more sources