A Rare Case of Cervical Squamous Cell Carcinoma Concurrent with Sinonasal Inverted Papilloma: A Case Report.

Introduction: Cervical cancer is the fourth most common malignancy in women worldwide, and sinonasal inverted papilloma (SIP) is a rare benign sinus tumor with characteristics including a destructive growth pattern, high recurrence rate, and common malignant transformation. Cervical squamous cell carcinoma (SCC) combined with SIP has not been reported thus far.

Case Presentation: A 55-year-old woman was diagnosed with cervical SCC in our center and treated with concurrent radiochemotherapy.

Predicting the metabolic pathways of small molecules based on their physicochemical properties.

How to correctly and efficiently map small molecule to its possible metabolic pathway is a meaningful topic to metabonomics research. In this work, a novel approach to address this problem was introduced to encode physicochemical properties of small molecules. Based on this encoding method, a two stage feature selection method called mRMR-FFSAdaBoost was adopted to map small molecules to their corresponding metabolic pathways possible.

HIV-1 protease cleavage site prediction based on two-stage feature selection method.

Knowledge of the mechanism of HIV protease cleavage specificity is critical to the design of specific and effective HIV inhibitors. Searching for an accurate, robust, and rapid method to correctly predict the cleavage sites in proteins is crucial when searching for possible HIV inhibitors. In this article, HIV-1 protease specificity was studied using the correlation-based feature subset (CfsSubset) selection method combined with Genetic Algorithms method.

Prediction of the functional roles of small molecules in lipid metabolism based on ensemble learning.

As many diseases like high cholesterol are referred to lipid metabolism, studying the lipid metabolic pathway has a positive effect on finding the knowledge about interactions between different elements within high complex living systems. Here, we employed a typical ensemble learning method, Bagging learner, to study and predict the possible sub lipid metabolic pathway of small molecules based on physical and chemical features of the compounds. As a result, jackknife cross validation test and independent set test on the model reached 89.