Reaching the end-game for GWAS: machine learning approaches for the prioritization of complex disease loci
Genome-wide association studies (GWAS) have revealed thousands of genetic loci that
underpin the complex biology of many human traits. However, the strength of GWAS–the …
underpin the complex biology of many human traits. However, the strength of GWAS–the …
Explainable artificial intelligence: A taxonomy and guidelines for its application to drug discovery
I Ponzoni, JA Páez Prosper… - Wiley Interdisciplinary …, 2023 - Wiley Online Library
Artificial intelligence (AI) is having a growing impact in many areas related to drug discovery.
However, it is still critical for their adoption by the medicinal chemistry community to achieve …
However, it is still critical for their adoption by the medicinal chemistry community to achieve …
Global prevalence of non-perennial rivers and streams
Flowing waters have a unique role in supporting global biodiversity, biogeochemical cycles
and human societies,,,–. Although the importance of permanent watercourses is well …
and human societies,,,–. Although the importance of permanent watercourses is well …
Feature analyses and modeling of lithium-ion battery manufacturing based on random forest classification
Lithium-ion battery manufacturing is a highly complicated process with strongly coupled
feature interdependencies; a feasible solution that can analyze feature variables within …
feature interdependencies; a feasible solution that can analyze feature variables within …
Neoadjuvant cabozantinib and nivolumab converts locally advanced HCC into resectable disease with enhanced antitumor immunity.
A potentially curative hepatic resection is the optimal treatment for hepatocellular carcinoma
(HCC), but most patients are not candidates for resection and most resected HCCs …
(HCC), but most patients are not candidates for resection and most resected HCCs …
Assessing impacts of objective features and subjective perceptions of street environment on running amount: A case study of Boston
The built environment is found to relate to running behaviors. However, the impacts of the
street environment on running were less addressed due to the lack of running data in large …
street environment on running were less addressed due to the lack of running data in large …
Subjective or objective measures of street environment, which are more effective in explaining housing prices?
Houses with better street design are found to relate to a price premium. Prior studies mainly
present the street quality using objective indicators like tree counts and distance to parks …
present the street quality using objective indicators like tree counts and distance to parks …
DSS: A hybrid deep model for fake news detection using propagation tree and stance network
Nowadays, online social media play a significant role in news broadcasts due to their
convenience, speed, and accessibility. Social media platforms leverage the rapid production …
convenience, speed, and accessibility. Social media platforms leverage the rapid production …
[HTML][HTML] Persistent overactive cytotoxic immune response in a Spanish cohort of individuals with long-COVID: identification of diagnostic biomarkers
M Galán, L Vigón, D Fuertes… - Frontiers in …, 2022 - frontiersin.org
Long-COVID is a new emerging syndrome worldwide that is characterized by the
persistence of unresolved signs and symptoms of COVID-19 more than 4 weeks after the …
persistence of unresolved signs and symptoms of COVID-19 more than 4 weeks after the …
Fuzzy neural network expert system with an improved Gini index random forest-based feature importance measure algorithm for early diagnosis of breast cancer in …
EA Algehyne, ML Jibril, NA Algehainy… - Big Data and Cognitive …, 2022 - mdpi.com
Breast cancer is one of the common malignancies among females in Saudi Arabia and has
also been ranked as the one most prevalent and the number two killer disease in the …
also been ranked as the one most prevalent and the number two killer disease in the …