Results 71 to 80 of about 2,229,496 (344)
On the multiway principal component analysis
Multiway data are becoming more and more common. While there are many approaches to extending principal component analysis (PCA) from usual data matrices to multiway arrays, their conceptual differences from the usual PCA, and the methodological implications of such differences remain largely unknown.
Ouyang, Jialin, Yuan, Ming
openaire +3 more sources
Why emerging leaders should focus on being good postdoctoral supervisors
Swamped with work and suddenly a new student is waiting at your doorstep for supervision? Great—this is your chance! In this article, we share tips on how postdocs can strengthen their leadership skills while supervising students. This image has been created using DALL·E. Many postdocs work as leaders later in their career.
Hannah Rostalski +5 more
wiley +1 more source
Diagnosis of Dry Eye Disease Using Principal Component Analysis: A Study in Animal Models of the Disease [PDF]
Robert Honkanen +3 more
openalex +1 more source
Hematopoietic (stem) cells—The elixir of life?
The aging of HSCs (hematopoietic stem cells) and the blood system leads to the decline of other organs. Rejuvenating aged HSCs improves the function of the blood system, slowing the aging of the heart, kidney, brain, and liver, and the occurrence of age‐related diseases.
Emilie L. Cerezo +4 more
wiley +1 more source
Data table in which a single set of individuals is described by several groups of variables are frequently encountered. In the factor analysis framework, taking into account different groups of variables in a unique analysis firstly raises the problem of
Pagès Jérôme
doaj
There are only two known methods for determining the sex of Ips typographus (L.) - dissection that cannot be used with live beetles and by distinguishing between the density of the hairs on the head, a less reliable method that requires experienced ...
M. Zahradníková
doaj +1 more source
Principal Component Projection Without Principal Component Analysis
We show how to efficiently project a vector onto the top principal components of a matrix, without explicitly computing these components. Specifically, we introduce an iterative algorithm that provably computes the projection using few calls to any black-box routine for ridge regression.
Frostig, Roy +3 more
openaire +2 more sources
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang +5 more
wiley +1 more source
PARP‐1 is a key enzyme in the DNA damage response, and its inhibition induces cancer cell death via synthetic lethality. Au(I)‐based drugs, such as aurothioglucose and sodium aurothiomalate, block PARP‐1's DNA‐dependent activity by targeting its zinc finger domains.
Uliana Bashtanova, Melinda Jane Duer
wiley +1 more source
Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection
SIPEX-G is a fast-converging, robust, gradient-based PCA algorithm that has been recently proposed by the authors. Its superior performance in synthetic and real data compared with its benchmark counterparts makes it a viable alternative in applications
Erdogmus Deniz +3 more
doaj +1 more source

