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View article: Peshnaja: a framework for predicting survivability of glioblastoma patients using ML and SEER data
Peshnaja: a framework for predicting survivability of glioblastoma patients using ML and SEER data Open
Glioblastoma is a common and fatal tumor presenting a poor survival rate. To choose the best course of treatment, patients and providers need to predict the survival rate of patients. Historically, statistical methods have helped analyze c…
View article: Predicting Survivability of Kidney Cancer using Multi-tier Classification Framework
Predicting Survivability of Kidney Cancer using Multi-tier Classification Framework Open
Kidney cancer is known as one of the deadliest cancers, with high morbidity and mortality rate. Survivability from cancers is always the patient's first concern. Thus, methods need to be devised to find the survivability rate. To achieve t…
View article: Praedico – Salvos: an ensemble ML framework for predicting survivability of thyroid cancer patients.
Praedico – Salvos: an ensemble ML framework for predicting survivability of thyroid cancer patients. Open
As the survival rate of cancer patients is low, it is only natural for patients to know how long they will survive. The National Cancer Institute in MD, USA, has developed and maintained the Surveillance, Epidemiology, and End Results (SEE…
View article: Praedico – Salvos: an ensemble ML framework for predicting survivability of thyroid cancer patients.
Praedico – Salvos: an ensemble ML framework for predicting survivability of thyroid cancer patients. Open
As the survival rate of cancer patients is low, it is only natural for patients to know how long they will survive. The National Cancer Institute in MD, USA, has developed and maintained the Surveillance, Epidemiology, and End Results (SEE…
View article: Predicting Survivability of Kidney Cancer using Multi-tier Classification Framework
Predicting Survivability of Kidney Cancer using Multi-tier Classification Framework Open
Kidney cancer is known as one of the deadliest cancers, with high morbidity and mortality rate. Survivability from cancers is always the patient's first concern. Thus, methods need to be devised to find the survivability rate. To achieve t…
View article: Bioinformatics and systems biology analysis revealed PMID26394986-Compound-10 as potential repurposable drug against covid-19
Bioinformatics and systems biology analysis revealed PMID26394986-Compound-10 as potential repurposable drug against covid-19 Open
The global health pandemic known as COVID-19, which stems from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a significant concern worldwide. Several treatment methods exist for COVID-19; however, there is an…
View article: Whole-genome sequencing as a first-tier diagnostic framework for rare genetic diseases
Whole-genome sequencing as a first-tier diagnostic framework for rare genetic diseases Open
Rare diseases affect nearly 300 million people globally with most patients aged five or less. Traditional diagnostic approaches have provided much of the diagnosis; however, there are limitations. For instance, simply inadequate and untime…
View article: MetumpX—a metabolomics support package for untargeted mass spectrometry
MetumpX—a metabolomics support package for untargeted mass spectrometry Open
Motivation Metabolomics is a data analysis and interpretation field aiming to study functions of small molecules within the organism. Consequently Metabolomics requires researchers in life sciences to be comfortable in downloading, install…