Results 101 to 110 of about 392,357 (290)
Dimensionality Reduction via Multiple Locality-Constrained Graph Optimization
IEEE Access, 2018 In recent years, graph-based dimensionality reduction methods became increasingly more significant since they have been successfully applied in various computer vision and machine learning problems.
Caixia Zheng +6 more
doaj +1 more source
T-outlier and a novel dimensionality reduction framework for high dimensional financial time series [PDF]
, 2006 Dongnian Wang +3 more
openalex +1 more source
Interplay between RNA‐protein interactions and RNA structures in gene regulation
FEBS Open Bio, EarlyView.Methodological advances in mapping transcriptome‐wide RNA‐protein interactions and RNA structures have started to uncover the potential of RNP conformations in gene regulation. Competing RNA–RNA, RNA‐protein and protein–protein interactions shape the compaction and function of RNPs throughout their lifetime and may provide novel therapeutic targets in ...
Jenni Rapakko +2 more
wiley +1 more source
FEBS Open Bio, EarlyView.CDT1 is an essential protein for DNA replication licensing that loads the MCM complex, the eukaryotic replicative DNA helicase, onto replication origins. Overexpression of CDT1 induces cell cycle arrest at the S phase. Here we showed CDT1 inhibits the progression of replication forks by interacting with the MCM complex, leading to the stalling and ...
Takashi Tsuyama +7 more
wiley +1 more source
Analysis of Dimensionality Reduction Techniques on Big Data [PDF]
, 2020 Thippa Reddy Gadekallu +6 more
openalex +1 more source
Overview of molecular signatures of senescence and associated resources: pros and cons
FEBS Open Bio, EarlyView.Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction
, 2016 We reframe linear dimensionality reduction as a problem of Bayesian inference on matrix manifolds. This natural paradigm extends the Bayesian framework to dimensionality reduction tasks in higher dimensions with simpler models at greater speeds.
Holbrook, Andrew +2 more
core
Three-dimensional non-reductive homogeneous spaces of solvable groups Lie, admitting affine connections [PDF]
, 2017 N. P. Mozhey
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FEBS Open Bio, EarlyView.This study addressed how a senior research thesis is perceived by undergraduate students. It assessed students' perception of research skills, epistemological beliefs, and career goals in Biochemistry (science) and BDC (science‐business) students. Completing a thesis improved confidence in research skills, resilience, scientific identity, closed gender‐
Celeste Suart +4 more
wiley +1 more source