Results 61 to 70 of about 201,081 (282)
BMI‐1 modulation and trafficking during M phase in diffuse intrinsic pontine glioma
The schematic illustrates BMI‐1 phosphorylation during M phase, which triggers its translocation from the nucleus to the cytoplasm. In cycling cells, BMI‐1 functions within the PRC1 complex to mediate H2A K119 monoubiquitination. Following PTC596‐induced M phase arrest, phosphorylated BMI‐1 dissociates from PRC1 and is exported to the cytoplasm via its
Banlanjo Umaru +6 more
wiley +1 more source
Stereotype-aware collaborative filtering [PDF]
Gabriel Frisch +2 more
doaj +1 more source
A Study of Scenic Spot Living Facility Recommendation Based on Collaborative Filtering
For the collection of massive complex information, the collaborative filtering system can work as a highly efficient information screening tool. It can recommend reasonable information reserve with multi angles according to the living service facility ...
Luo Wenbiao
doaj +1 more source
Excellent tail performance is crucial for modern machine learning tasks, such as algorithmic fairness, class imbalance, and risk-sensitive decision making, as it ensures the effective handling of challenging samples within a dataset. Tail performance is also a vital determinant of success for personalized recommender systems to reduce the risk of ...
Riku Togashi +3 more
openaire +3 more sources
Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum
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
Collaborative Filtering Recommendation Algorithm Combining Positive and Negative Similarities [PDF]
The sparsity of rating data is a common problem in collaborative filtering recommendation systems.This paper proposes a collaborative filtering recommendation algorithm based on positive and negative similarities which presents a calculation method of ...
ZHOU Hongyu,LIANG Gang,FENG Cheng,LIU Jiangdong
doaj +1 more source
Analysis of existing algorithms of music recommendation systems
We live in a time characterized by excessive information overload. For example, a user looking for music, goods or videos does not intend to spend a lot of time and delve into the complexities of the search process. In such situations, it is advisable to
R.S. Hordeiev, M.S.
doaj +1 more source
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Delay-tolerant collaborative filtering [PDF]
Recommender systems using collaborative filtering are a well-established technique to overcome information overload in today's digital society. Currently, predominant collaborative filtering systems mostly depend on huge centralized databases to store user preferences and furthermore are only available when connected to Internet.
Gratz, Patrick, Leclerc, Tom
openaire +1 more source
Complementarity of Long‐Reads and Optical Mapping in Parkinson's Disease for Structural Variants
ABSTRACT Objective Long‐read sequencing and optical genome mapping technologies have the ability to detect large and complex structural variants. This has led to the discovery of novel pathogenic variants in neurodegenerative movement disorders. Thus, we aimed to systematically compare the SV detection capabilities of OGM and ONT in Parkinson's disease.
André Fienemann +17 more
wiley +1 more source

