Results 61 to 70 of about 962,663 (328)

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

Molecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park, Jae Won Oh, Hyewon Chung, Jung Won Kwon, Yi Rang Na, Kwang Pyo Kim, Seung Hyeok Seok   +6 more
wiley   +1 more source

A case study for assessing the utility of a decision tree based learning algorithm in mental health inpatient care quality management

European Psychiatry, 2022
Introduction There is limited knowledge about the potential role of machine learning (ML) in quality improvement of psychiatric care. Objectives Our case study was to determine whether ML decision trees used on patient databases are suitable for ...
R. Wernigg, M. Wernigg
doaj   +1 more source

A multivariate approach to heavy flavour tagging with cascade training

, 2007
This paper compares the performance of artificial neural networks and boosted decision trees, with and without cascade training, for tagging b-jets in a collider experiment.
B. Roe, D.V. Bandourin, D0 collaboration, D0 collaboration, G. Cowan, I. Narsky, I. Narsky, J Bastos, J. Conrad, J. Rojo, R. Meir, R.E. Schapire, S. Forte, Y Liu, Y. Freund, Y. Liu   +15 more
core   +1 more source

Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi, Eric Feng, Nicholas R. Rydzewski, Amy K. Taylor, Jamie M. Sperger, Yue Shi, Kyle T. Helzer, Matthew L. Bootsma, Viridiana Carreno, Alex H. Chang, Luke A. Nunamaker, Grace C. Blitzer, Tianfu Andy Shang, Aishwarya Subramanian, Anders Bjartell, Andreas Josefsson, Pernilla Wikström, Emily Feng, Manish Kohli, Rendong Yang, Scott M. Dehm, Eric J. Small, Rahul Aggarwal, David A. Quigley, Joshua M. Lang, Shuang G. Zhao, Martin Sjöström   +26 more
wiley   +1 more source

Method of decision tree applied in adopting the decision for promoting a company

Annals of Spiru Haret University Economic Series, 2015
The decision can be defined as the way chosen from several possible to achieve an objective. An important role in the functioning of the decisional-informational system is held by the decision-making methods.
Cezarina Adina TOFAN
doaj   +1 more source

Entropy-Based Greedy Algorithm for Decision Trees Using Hypotheses

Entropy, 2021
In this paper, we consider decision trees that use both conventional queries based on one attribute each and queries based on hypotheses of values of all attributes. Such decision trees are similar to those studied in exact learning, where membership and
Mohammad Azad, Igor Chikalov, Shahid Hussain, Mikhail Moshkov   +3 more
doaj   +1 more source

Optimal Sparse Decision Trees

, 2020
Decision tree algorithms have been among the most popular algorithms for interpretable (transparent) machine learning since the early 1980's. The problem that has plagued decision tree algorithms since their inception is their lack of optimality, or lack
Hu, Xiyang, Rudin, Cynthia, Seltzer, Margo   +2 more
core  

Co‐expression of HSV‐1 ICP34.5 enhances the expression of gene delivered by self‐amplifying RNA and mitigates its immunogenicity

FEBS Open Bio, EarlyView.
ICP34.5 is one of the most important antihost response proteins. The saRNA‐encoding HSV‐1 neurovirulence protein ICP34.5 clearly mediated the eukaryotic initiation factor 2 alpha subunit (eIF2α) dephosphorylation and significant suppression of innate immune responses in vitro, leading to enhanced expression of the saRNA‐encoded gene.
Xuemin Lu, Yabin Wu, Chunye Zhao, Jie Zheng, Shangwu Chen, Yigang Wang, Yulong Xia   +6 more
wiley   +1 more source

Breakthrough Solution for Antimicrobial Resistance Detection: Surface‐Enhanced Raman Spectroscopy‐based on Artificial Intelligence

Advanced Materials Interfaces, EarlyView., 2023
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi, Munevver Akdeniz, Awel Olsido Ahmed, Mine Altunbek, Omer Aydin   +4 more
wiley   +1 more source

What are decision trees? [PDF]

Nature Biotechnology, 2008
Decision trees have been applied to problems such as assigning protein function and predicting splice sites. How do these classifiers work, what types of problems can they solve and what are their advantages over alternatives?
Carl Kingsford, Steven L. Salzberg
openaire   +3 more sources