Cargando…

TMBserval: a statistical explainable learning model reveals weighted tumor mutation burden better categorizing therapeutic benefits

A high tumor mutation burden (TMB) is known to drive the response to immune checkpoint inhibitors (ICI) and is associated with favorable prognoses. However, because it is a one-dimensional numerical representation of non-synonymous genetic alterations, TMB suffers from clinical challenges due to its...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Yixuan, Wang, Jiayin, Fang, Wenfeng, Xiao, Xiao, Wang, Quan, Zhao, Jian, Liu, Jingjing, Yang, Shuanying, Liu, Yuqian, Lai, Xin, Song, Xiaofeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Immunology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208409/ https://www.ncbi.nlm.nih.gov/pubmed/37234148 http://dx.doi.org/10.3389/fimmu.2023.1151755

Ejemplares similares

A Joint Model Considering Measurement Errors for Optimally Identifying Tumor Mutation Burden Threshold
por: Wang, Yixuan, et al.
Publicado: (2022)

TMBcat: A multi-endpoint p-value criterion on different discrepancy metrics for superiorly inferring tumor mutation burden thresholds
por: Wang, Yixuan, et al.
Publicado: (2022)

Vocalization categorization behavior explained by a feature-based auditory categorization model
por: Kar, Manaswini, et al.
Publicado: (2022)

The Statistical analysis of categorical data
por: Andersen, B. Erling
Publicado: (1991)

The statistical analysis of categorical data
por: Andersen, Erling B
Publicado: (1994)

The statistical analysis of categorical data
por: Andersen, Erling B
Publicado: (1990)

The statistical analysis of categorical data
por: Andersen, Erling B
Publicado: (1991)

Statistical methods for categorical data analysis
por: Powers, Daniel, et al.
Publicado: (2008)

Exact statistical inference for categorical data
por: Shan, Guogen
Publicado: (2016)

Introduction to the statistical analysis of categorical data
por: Andersen, Erling B
Publicado: (1997)

Introduction to the statistical analysis of categorical data /
por: Andersen, Erling B.
Publicado: (1997)

Statistical methods for categorical data analysis
por: Powers, Daniel A, et al.
Publicado: (2000)

Natural Contrast Statistics Facilitate Human Face Categorization
por: Liu-Shuang, Joan, et al.
Publicado: (2022)

Does Perceptual Simulation Explain Spatial Effects in Word Categorization?
por: Treccani, Barbara, et al.
Publicado: (2019)

Benefit of OTC Formula Against COVID-19—Statistical Analysis Explained
por: Margolin, Leon, et al.
Publicado: (2021)

Statistics of natural scene structures and scene categorization
por: Chen, Xin, et al.
Publicado: (2012)

Relating categorization to set summary statistics perception
por: Khayat, Noam, et al.
Publicado: (2019)

What makes TMB an ambivalent biomarker for immunotherapy? A subtle mismatch between the sample-based design of variant callers and real clinical cohort
por: Liu, Yuqian, et al.
Publicado: (2023)

Statistics of eye movements in scene categorization and scene memorization
por: Chen, Xin, et al.
Publicado: (2012)

Children's use of visual summary statistics for material categorization
por: Balas, Benjamin
Publicado: (2017)

Context-Aware and Locality-Constrained Coding for Image Categorization
por: Xiao, Wenhua, et al.
Publicado: (2014)

Explaining the Timing of Natural Scene Understanding with a Computational Model of Perceptual Categorization
por: Sofer, Imri, et al.
Publicado: (2015)

Category Structure and Categorical Perception Jointly Explained by Similarity-Based Information Theory
por: Brasselet, Romain, et al.
Publicado: (2018)

Categorizing Sequences of Concern by Function To Better Assess Mechanisms of Microbial Pathogenesis
por: Godbold, Gene D., et al.
Publicado: (2022)

A Common Cortical Circuit Mechanism for Perceptual Categorical Discrimination and Veridical Judgment
por: Liu, Feng, et al.
Publicado: (2008)

Think and explain with statistics
por: Moses, Lincoln E.
Publicado: (1986)

An Explainable Statistical Method for Seizure Prediction Using Brain Functional Connectivity from EEG
por: Chen, Hao, et al.
Publicado: (2022)

Statistical issues on the no-observed-adverse-effect level in categorical response.
por: Yanagawa, T, et al.
Publicado: (1994)

Online measurement of learning temporal statistical structure in categorization tasks
por: Sáringer, Szabolcs, et al.
Publicado: (2022)

Statistics explained : an introductory guide for life scientists /
por: McKillup, Steve
Publicado: (2012)

Optimal features for auditory categorization
por: Liu, Shi Tong, et al.
Publicado: (2019)

Statistical methods in longitudinal research: time series and categorical longitudinal data
por: von Eye, Alexander
Publicado: (1990)

Practical statistics simply explained /
por: Langley, Russell
Publicado: (1971)

High-temporal resolution DCE-MRI improves assessment of intra- and peri-breast lesions categorized as BI-RADS 4
por: Liu, Yufeng, et al.
Publicado: (2023)

An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans
por: Pennisi, Matteo, et al.
Publicado: (2021)

Statistical data analysis explained : applied environmental statistics with R /
Publicado: (2008)

Is an SV caller compatible with sequencing data? An online recommendation tool to automatically recommend the optimal caller based on data features
por: Wang, Shenjie, et al.
Publicado: (2023)

Neural Correlates of Subjective Awareness for Natural Scene Categorization of Color Photographs and Line-Drawings
por: Fu, Qiufang, et al.
Publicado: (2017)

A Method to Categorize 2-Dimensional Patterns Using Statistics of Spatial Organization
por: López-Sauceda, Juan, et al.
Publicado: (2017)

Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments
por: Jozwik, Kamila M., et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_qok61rhb5hef1n8qp60528re1p