Abstract Cell signal networks are orchestrated directly or indirectly by various peptide-mediated protein–protein interactions, which normally weak and transient thus ideal for biological regulation medicinal intervention. Here, we develop a general-purpose method modeling predicting the binding affinities of protein–peptide interactions (PpIs) at structural level. The is hybrid strategy that employs an unsupervised approach to derive layered PpI atom–residue interaction (ulPpI[a-r])...

The protein–protein association in cellular signaling networks (CSNs) often acts as weak, transient, and reversible domain–peptide interaction (DPI), which a flexible peptide segment on the surface of one protein is recognized bound by rigid peptide-recognition domain from another. Reliable modeling accurate prediction DPI binding affinities would help to ascertain diverse biological events involved CSNs benefit our understanding various implications underlying DPIs. Traditionally,...

Hierarchical classification problems have been wide investigated in the past years. The available hierarchical methods, which use top-down level-based scheme, often suffer from burden of inter-level error transmission. In this paper, an instance-centric framework based on decision-theoretic rough set model is proposed. procedure will be divided into two phases. Firstly, a decision constructed to acquire all possible paths as well reduce A general loss function for supervised leaning also...

Although gastric cancer is a malignancy with high morbidity and mortality in China, the survival rate of patients early (EGC) after surgical resection. To strengthen diagnosing screening key to improve life quality EGC. This study applied data mining methods for risk EGC on basis noninvasive factors, displayed important influence factors The dataset was derived from project First Hospital Affiliated Guangdong Pharmaceutical University. A series questionnaire surveys, serological examinations...

Hydroxyl benzoic esters are preservative, being widely used in food, medicine, and cosmetics. To explore the relationship between molecular structure antibacterial activity of these compounds predict with similar structures, Quantitative Structure-Activity Relationship (QSAR) models 25 kinds hydroxyl quantum chemical parameters connectivity indexes built based on support vector machine (SVM) by using R language. The External Standard Deviation Error Prediction (<mml:math...

As biometric vector may not follow the Gaussian distribution under complex light, pose and accessories, systems often yield unacceptable performance when subjected to impulsive, non-Gaussian noise. This paper adopts signal symmetric alpha stable theory construct fractional low-order independent component analysis algorithm (FLOD-ICA) applied FLOD-ICA solve partial occlusion face recognition problem. Experiments verified that our proposed scheme is effective for occlusion.

Rule extraction is viewed as an important pretreatment step for machine learning and data mining. In allusion to the shortcomings of rough set method rule in systems with incomplete fault diagnosis, this paper we propose a novel fusion approach based on theory particle swarm optimization (RSTPSORE) order improve diagnostic robustness accuracy. proposed method, first, iterative linear subsection interpolation completion used achieve diagnosis process. Then find subset which can preserve...

One of the tasks in color image processing and computer vision is to recover clean data from partial observations corrupted by noise. To this end, robust quaternion matrix completion (QMC) has recently attracted more attention shown its effectiveness, whose convex relaxation minimize nuclear norm plus $L_1$-norm. However, there still room improve due convexity surrogates. This paper proposes a new nonconvex QMC model, which MCP function $L_p$-norm are used enhance low-rankness sparseness...

Semantic code retrieval is the task of retrieving relevant codes based on natural language queries. Although it related to other information tasks, needs bridge gaps between used in (which usually syntax-specific and logic-specific) which more suitable for describing ambiguous concepts ideas. Existing approaches study a specific programming language, however unwieldy often requires large amount corpus each when dealing with multilingual scenarios.Using knowledge distillation six existing...

This documents is about the filter itk::WarpQuadEdgeMeshFilter. It takes two input meshes (fixed and moving meshes) one deformation field. produces output mesh. Each point on fixed mesh warped according to displacement vector saved in field gets a scalar value assigned by interpolating from An interpolator needed apply this filter. paper accompanied with source code, data, parameters data that we used for validating algorithm described paper. adheres fundamental principle scientific...

This documents describes the filter itk::HistogramMatchingQuadEdgeMeshFilter. It takes an input (source) mesh and a reference mesh, normalizes scalar values between two meshes by histogram matching, generates output which has similar as mesh. paper is accompanied with source code, data, parameters data that we used for validating algorithm described in this paper. adheres to fundamental principle scientific publications must facilitate reproducibility of reported results.