Results 71 to 80 of about 9,360,077 (298)
Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau +9 more
wiley +1 more source
Using K-Nearest Neighbor in Optical Character Recognition
The growth in computer vision technology has aided society with various kinds of tasks. One of these tasks is the ability of recognizing text contained in an image, or usually referred to as Optical Character Recognition (OCR).
Veronica Ong, Derwin Suhartono
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
PARAMETER INDEPENDENT FUZZY WEIGHTED k-NEAREST NEIGHBOR
Parameter Independent Fuzzy Weighted k-Nearest Neighbor (PIFWkNN) as a classification technique developed by combining Success History based Parameter Adaptive Differential Evolution (SHADE) with Fuzzy k-Nearest Neighbor (FkNN), where this PIFWkNN does ...
Mayawi Mayawi, Subanar Subanar
doaj +1 more source
k-Nearest Neighbor Curves in Imaging Data Classification
Background: Lung disease quantification via medical image analysis is classically difficult. We propose a method based on normalized nearest neighborhood distance classifications for comparing individual CT scan air-trapping distributions (representing ...
Yann Cabon +12 more
doaj +1 more source
Improving Prediction Performance of Dynamic Neighbor Selection in User-Based Collaborative Filtering
Recommender systems have become more and more popular in online environments in recent years. Although different approaches are introduced to build a powerful recommender system, collaborative filtering is one of the most used approaches in the ...
Burcu Demirelli Okkalıoğlu
doaj +1 more source
Guiding AlphaFold to predict how Munc13‐1 opens Syntaxin‐1
The syntaxin‐1 Habc‐domain (orange), linker (pink) and SNARE motif (yellow) form a closed conformation that binds to Munc18‐1 (violet) and is opened by the Munc13‐1 MUN domain (cyan) to form the SNARE complex that triggers neurotransmitter release.
Madhurima Chattopadhyay +2 more
wiley +1 more source
With the development of the digital age, library services are facing the challenge of fast and accurate text classification. The traditional K-nearest neighbor algorithm is limited by low classification efficiency and high computational complexity when ...
Changjun Wang, Fengxia You, Yu Wang
doaj +1 more source
Kinetic Reverse k-Nearest Neighbor Problem [PDF]
This paper provides the first solution to the kinetic reverse $k$-nearest neighbor (\rknn) problem in $\mathbb{R}^d$, which is defined as follows: Given a set $P$ of $n$ moving points in arbitrary but fixed dimension $d$, an integer $k$, and a query point $q\notin P$ at any time $t$, report all the points $p\in P$ for which $q$ is one of the $k ...
Zahed Rahmati +2 more
openaire +4 more sources
KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph +7 more
wiley +1 more source

