Results 51 to 60 of about 741,105 (343)

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

Molecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra, Shamsudheen Karuthedath Vellarikkal, Lixia Li, Hong Sun, Khoa Nguyen, Amber Montano, Suchitra Natarajan, Federica Piccioni, Alex Michael Tamburino, Xin Yu, Aleksandra Katarzyna Olow   +10 more
wiley   +1 more source

Applying Machine Learning Techniques to the Audit of Antimicrobial Prophylaxis

Applied Sciences, 2022
High rates of inappropriate use of surgical antimicrobial prophylaxis were reported in many countries. Auditing the prophylactic antimicrobial use in enormous medical records by manual review is labor-intensive and time-consuming.
Zhi-Yuan Shi, Jau-Shin Hon, Chen-Yang Cheng, Hsiu-Tzy Chiang, Hui-Mei Huang   +4 more
doaj   +1 more source

Learning-Based Synthesis of Safety Controllers

, 2019
We propose a machine learning framework to synthesize reactive controllers for systems whose interactions with their adversarial environment are modeled by infinite-duration, two-player games over (potentially) infinite graphs.
beyene, brázdil, de moura, flanagan, garg, grädel, neider, neider, quinlan, solar-lezama   +9 more
core   +1 more source

A survey of cost-sensitive decision tree induction algorithms [PDF]

, 2013
The past decade has seen a significant interest on the problem of inducing decision trees that take account of costs of misclassification and costs of acquiring the features used for decision making.
Bradford J. P., Elkan C., Esmeir S., Esmeir S., Estruch V., Fan W., Ferri C., Freund Y., Hart A. E., Knoll U., Li J., Lin F. Y., Liu X., Mease D., Murthy S., Ni A., Norton S. W., Pazzani M., Quinlan J. R., Quinlan J. R., Schapire R. E., Sunil Vadera, Susan Lomax, Swets J., Tan M., Ting K., Ting K., Ting K. M., von Neumann J., Zadrozny B.   +29 more
core   +2 more sources

A Monte Carlo Tree Search Approach to Learning Decision Trees [PDF]

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018
Comunicació presentada a: 17th IEEE International Conference on Machine Learning and Applications (ICMLA) celebrada del 17 al 20 de 2018 a Orlando, Estats Units.
Nunes, Cecilia, De Craene, Mathieu, Langet, Helene, Camara, Oscar, Jonsson, Anders   +4 more
openaire   +2 more sources

Tumor mutational burden as a determinant of metastatic dissemination patterns

Molecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal, Andrea Moreno‐Manuel, Miguel Salvadó‐Pertierra, Cristina Santos‐Vivas, Rebeca Sanz‐Pamplona   +4 more
wiley   +1 more source

Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers [PDF]

, 2015
Ant-Tree-Miner is a decision tree induction algorithm that is based on the Ant Colony Optimization (ACO) meta- heuristic. Ant-Tree-Miner-M is a recently introduced extension of Ant-Tree-Miner that learns multi-tree classification models.
Abdelbar, Ashraf M., Otero, Fernando E.B., Salama, Khalid M.   +2 more
core   +1 more source

Systemic T Cell Receptor Profiling Reveals Adaptive Immune Activation and Potential Immune Signatures of Diagnosis and Brain Atrophy in Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin, Sang Bin Hong, Yong Woo Shin, Inpyeong Hwang, Jaeseong Oh, Jihyeon Choi, Narae Kim, Jangsup Moon, Keun‐Hwa Jung, Kyung‐Il Park, Ki‐Young Jung, Kon Chu, Sang Kun Lee   +12 more
wiley   +1 more source

GENESIM : genetic extraction of a single, interpretable model [PDF]

, 2016
Models obtained by decision tree induction techniques excel in being interpretable.However, they can be prone to overfitting, which results in a low predictive performance. Ensemble techniques are able to achieve a higher accuracy. However, this comes at
De Turck, Filip, Janssens, Olivier, Ongenae, Femke, Van Hoecke, Sofie, Vandewiele, Gilles   +4 more
core   +2 more sources

Integrating Decision Tree Learning into Inductive Databases [PDF]

, 2007
In inductive databases, there is no conceptual difference between data and the models describing the data: both can be stored and queried using some query language. The approach that adheres most strictly to this philosophy is probably the one proposed by Calders et al.
Fromont, Elisa, Blockeel, Hendrik, Struyf, Jan   +2 more
openaire   +2 more sources