Results 231 to 240 of about 564,038 (269)

Untargeted metabolomics profiling of childhood asthma: linking metabolic pattern to disease severity. [PDF]

Mol Cell Pediatr
Aleidi SM, A Hagyousif Y, Sharaf BM, Almasri FA, Al-Iede M, Al Zayadneh E, Abuhelwa AY, El-Huneidi W, Al Shareef Z, Abu-Gharbieh E, Alzoubi KH, Bustanji Y, Semreen MH.   +12 more
europepmc   +1 more source

Regulation of YAP activity by nuclear G-actin binding. [PDF]

Nucleic Acids Res
Wang H, Jayawardana IM, Fleisch JM, Frank D, Zhao B, Kamaras C, Gebhardt P, Knerr J, Ulferts S, Sivabalasarma S, Albers SV, Grosse R.   +11 more
europepmc   +1 more source

A graph-theoretic framework for quantitative analysis of angiogenic networks. [PDF]

BioData Min
Okoro G, Wityk P, Nelappana MB, Jackiewicz KA, Kucharczyk VZ, Tigranyan A, Applegate CC, Dobrucki IT, Dobrucki LW.   +8 more
europepmc   +1 more source

Unveiling patterns: an exploration of machine learning techniques for unsupervised feature selection in single-cell data. [PDF]

Brief Bioinform
Chatterjee N, Taraskin A, Divakaran H, Jaeger N, Enriquez V, Hedrick CC, Alimadadi A.   +6 more
europepmc   +1 more source

Artificial intelligence modeling and investigation of metal organic frameworks in drug delivery: modeling of loading capacity and toxicity behavior. [PDF]

Front Chem
Qin Y, Li S, Iqbal J, Shirazian S.
europepmc   +1 more source

scCNMF: an integrated analysis model for paired single-cell RNA sequencing and assay for transposase-accessible chromatin sequencing data leveraging cell similarity and cis-regulatory potential. [PDF]

PeerJ
Zhang Y, Sheng Q, Zhan H, Guo Y, Shi X, Qi J.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Multilinear Sparse Principal Component Analysis

IEEE Transactions on Neural Networks and Learning Systems, 2014
In this brief, multilinear sparse principal component analysis (MSPCA) is proposed for feature extraction from the tensor data. MSPCA can be viewed as a further extension of the classical principal component analysis (PCA), sparse PCA (SPCA) and the recently proposed multilinear PCA (MPCA).
Zhihui, Lai, Yong, Xu, Qingcai, Chen, Jian, Yang, David, Zhang   +4 more
openaire   +4 more sources