Results 111 to 120 of about 1,080,302 (365)
Improving Consumer Health Search with Field-Level Learning-to-Rank Techniques
InformationIn the area of consumer health search (CHS), there is an increasing concern about returning topically relevant and understandable health information to the user.
Hua Yang, Teresa Gonçalves
doaj +1 more source
ES-Rank: evolution strategy learning to rank approach [PDF]
, 2017 Learning to Rank (LTR) is one of the current problems in Information Retrieval (IR) that attracts the attention from researchers. The LTR problem is mainly about ranking the retrieved documents for users in search engines, question answering and product ...
Ibrahim, Osman Ali Sadek +1 more
core
Decrypting cancer's spatial code: from single cells to tissue niches
Molecular Oncology, EarlyView.Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
Molecular Oncology, EarlyView.We evaluated circulating tumor DNA (ctDNA) detection in advanced pancreatic cancer using DNA methylation, cell‐free DNA fragment lengths, and 5′ end motifs. Machine learning models were trained to estimate ctDNA levels from each feature and their combination.
Morten Lapin +10 more
wiley +1 more source
Tongxin xuebao, 2021 To solve the problem of quickly obtaining the optimal ranking result in the crowdsourcing result aggregation, an efficient and effective aggregation algorithm of Worker’s weight was proposed.The Worker’s weight optimization model based on differential ...
Yuping XING, Yongzhao ZHAN
doaj +2 more sources
The relationship between social rank and spatial learning in pheasants, Phasianus colchicus: cause or consequence? [PDF]
PeerJ, 2018 Individual differences in performances on cognitive tasks have been found to differ according to social rank across multiple species. However, it is not clear whether an individual’s cognitive performance is flexible and the result of their current ...
Ellis J.G. Langley +4 more
doaj +2 more sources
On the Complexity of Learning with Kernels [PDF]
, 2014 A well-recognized limitation of kernel learning is the requirement to handle a kernel matrix, whose size is quadratic in the number of training examples.
Cesa-Bianchi, Nicolò +2 more
core +1 more source
FEBS Open Bio, EarlyView.The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik +3 more
wiley +1 more source
Current trends in single‐cell RNA sequencing applications in diabetes mellitus
FEBS Open Bio, EarlyView.Single‐cell RNA sequencing is a powerful approach to decipher the cellular and molecular landscape at a single‐cell resolution. The rapid development of this technology has led to a wide range of applications, including the detection of cellular and molecular mechanisms and the identification and introduction of novel potential diagnostic and ...
Seyed Sajjad Zadian +6 more
wiley +1 more source
FEBS Open Bio, EarlyView.This study presents a novel approach to teaching Python and bioinformatics using team‐based learning and cloud‐hosted notebooks. By integrating interactive coding into biomedical education, the method improves accessibility, student engagement, and confidence—especially for those without a computing background.
Nuno S. Osório, Leonardo D. Garma
wiley +1 more source