Machine learning for survival analysis: A survey
Survival analysis is a subfield of statistics where the goal is to analyze and model data
where the outcome is the time until an event of interest occurs. One of the main challenges …
where the outcome is the time until an event of interest occurs. One of the main challenges …
[HTML][HTML] Lung cancer: understanding its molecular pathology and the 2015 WHO classification
K Inamura - Frontiers in oncology, 2017 - frontiersin.org
Lung cancer is the leading cause of cancer-related death worldwide due to late diagnoses
and limited treatment interventions. Recently, comprehensive molecular profiles of lung …
and limited treatment interventions. Recently, comprehensive molecular profiles of lung …
Tumor aneuploidy correlates with markers of immune evasion and with reduced response to immunotherapy
INTRODUCTION Aneuploidy, also known as somatic copy number alterations (SCNAs), is
widespread in human cancers and has been proposed to drive tumorigenesis. The …
widespread in human cancers and has been proposed to drive tumorigenesis. The …
[HTML][HTML] Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …
[HTML][HTML] Lung cancers: molecular characterization, clonal heterogeneity and evolution, and cancer stem cells
U Testa, G Castelli, E Pelosi - Cancers, 2018 - mdpi.com
Lung cancer causes the largest number of cancer-related deaths in the world. Most (85%) of
lung cancers are classified as non-small-cell lung cancer (NSCLC) and small-cell lung …
lung cancers are classified as non-small-cell lung cancer (NSCLC) and small-cell lung …
[HTML][HTML] Comprehensive molecular profiling of lung adenocarcinoma
Cancer Genome Atlas Research Network - Nature, 2014 - ncbi.nlm.nih.gov
Adenocarcinoma of the lung is the leading cause of cancer death worldwide. Here we report
molecular profiling of 230 resected lung adenocarcinomas using messenger RNA …
molecular profiling of 230 resected lung adenocarcinomas using messenger RNA …
Biomarker development in the precision medicine era: lung cancer as a case study
AJ Vargas, CC Harris - Nature reviews cancer, 2016 - nature.com
Precision medicine relies on validated biomarkers with which to better classify patients by
their probable disease risk, prognosis and/or response to treatment. Although …
their probable disease risk, prognosis and/or response to treatment. Although …
Supervised, unsupervised, and semi-supervised feature selection: a review on gene selection
JC Ang, A Mirzal, H Haron… - IEEE/ACM transactions …, 2015 - ieeexplore.ieee.org
Recently, feature selection and dimensionality reduction have become fundamental tools for
many data mining tasks, especially for processing high-dimensional data such as gene …
many data mining tasks, especially for processing high-dimensional data such as gene …
Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network
Adenocarcinoma of the lung is the leading cause of cancer death worldwide. Here we report
molecular profiling of 230 resected lung adenocarcinomas using messenger RNA …
molecular profiling of 230 resected lung adenocarcinomas using messenger RNA …
Development and validation of an individualized immune prognostic signature in early-stage nonsquamous non–small cell lung cancer
Importance The prevalence of early-stage non–small cell lung cancer (NSCLC) is expected
to increase with recent implementation of annual screening programs. Reliable prognostic …
to increase with recent implementation of annual screening programs. Reliable prognostic …