Results 61 to 70 of about 13,715 (249)

Matrix metalloproteinase‐9 regulates cell adhesion and membrane protrusive activity of ovarian cancer cells

open access: yesFEBS Open Bio, EarlyView.
Matrix metalloproteinase‐9 (MMP9) drives ovarian cancer progression. Using MMP9‐null cells (M9‐KO) created from ovarian cancer cells, we found MMP9 loss did not block Epidermal Growth Factor (EGF)‐driven E‐cadherin dissolution or EMT but delayed and reduced EGF‐driven membrane protrusions. Transient MMP9 re‐expression drove membrane protrusion.
Claire Strauel   +8 more
wiley   +1 more source

Outlier detection using iterative adaptive mini-minimum spanning tree generation with applications on medical data

open access: yesFrontiers in Physiology, 2023
As an important technique for data pre-processing, outlier detection plays a crucial role in various real applications and has gained substantial attention, especially in medical fields.
Jia Li   +7 more
doaj   +1 more source

Outlier Detection & Reconstruction of Lost Big Earth Data Using Machine Learning [PDF]

open access: yes
This dissertation thoroughly examines enhancing outlier detection and reconstruction techniques for Earth Observation (EO) datasets, specifically focusing on Land Surface Temperature (LST) values. Addressing both outlier detection and data reconstruction
Adnan, M.
core   +1 more source

Evolutionarily divergent DUF4465 domains have a common vitamin B12‐binding function

open access: yesFEBS Open Bio, EarlyView.
We show that DUF4465 family proteins, widespread across bacteria from gut microbiomes, hydrothermal vents, and soil, share a common vitamin B12‐binding function. These augmented β‐jellyroll proteins bind vitamin B12 via extended loops. Our findings establish sequence‐diverse DUF4465 proteins as a widespread class of B12‐binding proteins, highlighting ...
Charlea Clarke   +4 more
wiley   +1 more source

Mean-Shift Outlier Detection

open access: yes, 2018
We propose mean-shift to detect outlier points. The method processed every point by calculating its k-nearest neighbors (k-NN), and then shifting the point to the mean of its neighborhood. This is repeated three times. The bigger the movement, the more likely the point is an outlier. Boundary points are expected to move more than inner points; outliers
Jiawei Yang 0001   +2 more
openaire   +3 more sources

Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum

open access: yesFEBS Open Bio, EarlyView.
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik   +6 more
wiley   +1 more source

Outlier Detection in Mendelian Randomization

open access: yesStatistics in Medicine
ABSTRACT Mendelian randomization (MR) uses genetic variants as instrumental variables to infer causal effects of exposures on an outcome. One key assumption of MR is that the genetic variants used as instrumental variables are independent of the outcome conditional on the risk factor and unobserved confounders.
Maximilian M. Mandl   +3 more
openaire   +4 more sources

Wavelet-based detection of outliers in volatility models [PDF]

open access: yes, 2009
Outliers in financial data can lead to model parameter estimation biases, invalid inferences and poor volatility forecasts. Therefore, their detection and correction should be taken seriously when modeling financial data.
Grané, Aurea   +4 more
core  

Outlier Detection via Kernel Preserving Embedding and Random Walk

open access: yes, 2020
Since outlier detection has a wide range of potential applications, it has become a fundamental and hot research topic in data mining. Recently, the technique of self-representation has attracted extensive attention and many low-rank representation based
Liu, H   +7 more
core   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

open access: yesFEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong   +3 more
wiley   +1 more source

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