Identifying cancer prognosis genes through causal learning
S Wu, C Yin, Y Wang, H Sun - Briefings in Bioinformatics, 2025 - academic.oup.com
Accurate identification of causal genes for cancer prognosis is critical for estimating disease
progression and guiding treatment interventions. In this study, we propose CPCG (Cancer …
progression and guiding treatment interventions. In this study, we propose CPCG (Cancer …
ALLSTAR: inference of reliAble causaL ruLes between Somatic muTAtions and canceR phenotypes
Motivation Recent advances in DNA sequencing technologies have allowed the detailed
characterization of genomes in large cohorts of tumors, highlighting their extreme …
characterization of genomes in large cohorts of tumors, highlighting their extreme …
[HTML][HTML] Functional Assessments of Gynecologic Cancer Models Highlight Differences Between Single-Node Inhibitors of the PI3K/AKT/mTOR Pathway and a Pan …
A Broege, S Rossetti, A Sen, AS Menon, I MacNeil… - Cancers, 2024 - mdpi.com
Abstract Background/Objectives: The PI3K/AKT/mTOR (PAM) pathway is frequently activated
in gynecological cancers. Many PAM inhibitors selectively target single PAM pathway …
in gynecological cancers. Many PAM inhibitors selectively target single PAM pathway …
Identifying cooperative genes causing cancer progression with dynamic causal inference
Cancer progression is driven by complex gene interactions, which are not fully understood
due to the dynamic and multifaceted nature of the disease. Traditional methods for …
due to the dynamic and multifaceted nature of the disease. Traditional methods for …
Statistical Learning Techniques for Causal Structure Discovery and Effect Estimation
D Simionato - 2024 - research.unipd.it
The increasing availability of data and the decreasing computational power cost sparked the
data-revolution that we are in nowadays, with machine learning and artificial intelligence …
data-revolution that we are in nowadays, with machine learning and artificial intelligence …
ALLSTAR: un nuovo algoritmo bioinformatico per inferire regole causali tra mutazioni somatiche e fenotipi tumorali
A Collesei - 2024 - research.unipd.it
Motivation: Recent advances in DNA sequencing technologies have allowed the detailed
characterization of genomes in large cohorts of tumors, highlighting their extreme …
characterization of genomes in large cohorts of tumors, highlighting their extreme …