Results 61 to 70 of about 3,227,878 (310)

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Random Forest Prediction of IPO Underpricing

Applied Sciences, 2017
The prediction of initial returns on initial public offerings (IPOs) is a complex matter. The independent variables identified in the literature mix strong and weak predictors, their explanatory power is limited, and samples include a sizable number of ...
David Quintana, Yago Sáez, Pedro Isasi
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Banzhaf Random Forests

CoRR, 2015
Random forests are a type of ensemble method which makes predictions by combining the results of several independent trees. However, the theory of random forests has long been outpaced by their application. In this paper, we propose a novel random forests algorithm based on cooperative game theory.
Jianyuan Sun, Guoqiang Zhong 0001, Junyu Dong, Yajuan Cai   +3 more
openaire   +3 more sources

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

zcwooo/Data-of-Improved-random-forest-based-on-AFSA: Data of Improved random forest based on AFSA

, 2019
<p>This repository contains all the algorithm and data used in our paper "A parametric optimization oriented, AFSA based random forest algorithm: application to detection of cervical epithelial cells"</p ...
zcwooo
core   +1 more source

Research on optimization of random forest algorithm based on spark

, 2022
As society has developed, increasing amounts of data have been generated by various industries. The random forest algorithm, as a classification algorithm, is widely used because of its superior performance.
Pang, C, Geng, S, Wang, S, Zhang, Z
core   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Digital soil mapping using machine learning-based methods to predict soil organic carbon in two different districts in the Czech Republic

Soil and Water Research
Soil organic carbon (SOC) is an important soil characteristic as well as a way how to mitigate climate change. Information on its content and spatial distribution is thus crucial.
Shahin Nozari, Mohammad Reza Pahlavan-Rad, Colby Brungard, Brandon Heung, Luboš Borůvka   +4 more
doaj   +1 more source

Prediction of Employee Attendance Factors Using C4.5 Algorithm, Random Tree, Random Forest

Semesta Teknika, 2020
Research on the performance of workers based on the determination of standard working hours for absences conducted by workers in a certain period.
Riza Fahlapi, Hermanto Hermanto, Antonius Yadi Kuntoro, Lasman Effendi, Ridatu Oca Nitra, Siti Nurlela   +5 more
doaj   +1 more source