Transcriptional patterns of cancer-related genes in primary and metastatic tumours revealed by machine learning
Abstract Background: A key to understanding cancer is to determine the impact on the cellular pathways caused by the repertoire…
random forest
Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Abstract Rationale: Cancer of unknown primary (CUP) is a group of rare malignancies with poor prognosis and unidentifiable tissue-of-origin. Distinct…
Combined ambient ionization mass spectrometric and chemometric approach for the differentiation of hemp and marijuana varieties of Cannabis sativa
Abstract Background: Hemp and marijuana are the two major varieties of Cannabis sativa. While both contain Δ9-tetrahydrocannabinol (THC), the primary…
A novel machine learning model and a public online prediction platform for prediction of post-ERCP-cholecystitis (PEC)
Abstract Background: Endoscopic retrograde cholangiopancreatography (ERCP) is an established treatment for common bile duct (CBD) stones. Post- ERCP cholecystitis (PEC)…
Predictive model of multiple emergency department visits among adults: analysis of the data from the National Survey of Drug Use and Health (NSDUH)
Abstract Background: In this methodological paper, we use a novel, predictive approach to examine how demographics, substance use, mental and…
TOOme: A Novel Computational Framework to Infer Cancer Tissue-of-Origin by Integrating Both Gene Mutation and Expression
Abstract Metastatic cancers require further diagnosis to determine their primary tumor sites. However, the tissue-of-origin for around 5% tumors could…
PreMSIm: An R package for predicting microsatellite instability from the expression profiling of a gene panel in cancer
Keywords: Cancer, Microsatellite instability, Gene expression profiling, Machine learning, Algorithm, Classification, AUC, area under the curve, CV, cross validation, GEO,…