Results 91 to 100 of about 265,281 (248)

Application of Unsupervised Learning for the Evaluation of Aerogels' Efficiency towards Dye Removal-A Principal Component Analysis (PCA) Approach. [PDF]

Gels, 2023
Younes K, Kharboutly Y, Antar M, Chaouk H, Obeid E, Mouhtady O, Abu-Samha M, Halwani J, Murshid N.   +8 more
europepmc   +1 more source

Hierarchical Collagen Nanofiber Gels Recapitulate a Physiologically Relevant Tumor Stromal Microenvironment

Advanced Healthcare Materials, EarlyView.
The collagen nanofiber (CNF) gel supports cancer cell culture, exhibiting cell morphology and cancer‐related protein expression similar to Matrigel. It offers a higher collagen concentration than commercial gels. Additionally, the CNF gel allows replication of the high elasticity of in vivo cancer tissue by controlling collagen fiber sizes, ranging ...
Naoko Sasaki, Tomoyuki Suezawa, Shiro Kitano, Ryohei Katayama, Michiya Matsusaki   +4 more
wiley   +1 more source

Chamber‐Specific Decellularized Extracellular Matrices Differentially Modulate Cardiomyocyte Subtypes to Drive Engineered Heart Tissue Development and Function

Advanced Healthcare Materials, EarlyView.
Chamber‐specific decellularized extracellular matrices (ECMs) were developed, preserving native proteomic profiles of ventricular and atrial myocardium. These innate biochemical cues differentially modulate cardiomyocyte subtypes to drive engineered heart tissue development and function, highlighting the importance of incorporating regional ECM cues in
Dong Gyu Hwang, Myungji Kim, Hwanyong Choi, Jinseon Park, Minji Kim, Donghwan Kim, Bo Ram Lee, Jinah Jang   +7 more
wiley   +1 more source

Application of Unsupervised Machine Learning for the Evaluation of Aerogels' Efficiency towards Ion Removal-A Principal Component Analysis (PCA) Approach. [PDF]

Gels, 2023
Younes K, Kharboutly Y, Antar M, Chaouk H, Obeid E, Mouhtady O, Abu-Samha M, Halwani J, Murshid N.   +8 more
europepmc   +1 more source

High‐Throughput Digital Decoding of Vascular Heterogeneity in Patient‐Specific Tumor Microenvironments

Advanced Healthcare Materials, EarlyView.
ABSTRACT Quantitative characterization of vascular heterogeneity in complex microphysiological systems (MPS), particularly within patient‐derived tumor microenvironments, remains a major challenge for scalable disease modeling and therapeutic evaluation.
Jungseub Lee, Wooju Park, Sujin Hyung, Sangmin Jung, Kyungho Lee, Junseok Jeon, Noo Li Jeon, Jeeyun Lee, Hye Ryoun Jang, Jihoon Ko   +9 more
wiley   +1 more source

Principal Component Analysis (PCA) [PDF]

, 2010
openaire   +2 more sources

Application of Principal Component Analysis (PCA) to the Evaluation and Screening of Multiactivity Fungi. [PDF]

J Ocean Univ China, 2022
Yang Z, Shi Y, Li P, Pan K, Li G, Li X, Yao S, Zhang D.   +7 more
europepmc   +1 more source

Therapeutic Extracellular Vesicles from Synovial Fibroblast‐Primed MSCs for Osteoarthritis Treatment

Advanced Healthcare Materials, EarlyView.
EVs derived from the microenvironment of SFs transferred MSCs (miSF‐MSC‐EVs) enhanced the expression of miRNAs that regulate cell migration, cell adhesion, and the TGF‐β signaling pathway, demonstrating superior anti‐inflammatory and cartilage regeneration effects compared to conventional MSC‐EVs.
Seo Jeong Kim, Ji Seob Kim, Min Hee Moon, Jae‐Hyeok Jang, In Sun Hwang, Byung‐Hyun Cha   +5 more
wiley   +1 more source

Optimization of 3D Cooling Channels in Plastic Injection Molds by Taguchi-Integrated Principal Component Analysis (PCA). [PDF]

Polymers (Basel), 2023
Minh PS, Dang HS, Ha NC.
europepmc   +1 more source

Tutorial: Principal Components Analysis (PCA) in R

, 2010
Found this tutorial by Emily Mankin on how to do principal components analysis (PCA) using R. Has a nice example with R code and several good references. The example starts by doing the PCA manually, then uses R's built in prcomp() function to do the same PCA.
openaire   +1 more source