Clustering of gene expression profiles is a widely used approach for finding macroscopic data structure. A complication in such analyses is that not all genes are informative for forming clusters and different clusters might have different transcription regulation. Driven by these considerations, we present a novel two-stage clustering approach. The first stage identifies informative genes by a...

This paper proposes two stage algorithm that carries advantages of PDLZW and Arithmetic coding and compares its performance with deflate which is a well-known two-stage algorithm that combines the features of LZ77 and Huffman Coding. The PDLZW is designed by partitioning the dictionary into several dictionaries of different address spaces and sizes. With the hierarchical parallel dictionary set...

Tracking body poses of multiple persons in monocular video is a challenging problem due to the high dimensionality of the state space and issues such as inter-occlusion of the persons’ bodies. We proposed a three-stage approach with a multi-level state representation that enables a hierarchical estimation of 3D body poses. At the first stage, humans are tracked as blobs. In the second stage, pa...

This study explored the association between pubertal stage and anthropometric and cardiometabolic risk factors in youth. A cross-sectional study was conducted in 2877 Colombian children and adolescents (9-17.9 years of age). Weight, height, and waist circumference were measured and body mass index (BMI) was calculated. A biochemical study was performed to determine the cardiometabolic risk inde...

Recent advances in the statistical theory of hierarchical linear models should enable important breakthroughs in the measurement of psychological change and the study of correlates of change. A two-stage model of change is proposed here. At the first, or within-subject stage, an individual's status on some trait is modeled as a function of an individual growth trajectory plus random error. At t...

Abstract In this paper, we design a two‐stage experiment and tractable model. The first stage is tournament, the second involves hierarchical relationship where loser of tournament must declare what they think an acceptable earnings distribution to have incentive work for winner. We use Becker–Degroot–Marschak (BDM) procedure elicit distribution. show that failure in could decrease willingness ...

A new variant of Hierarchical Cluster Analysis is gaining interest in the field Machine Learning, called Object Hierarchy. Being still at an early stage development, lack tools for systematic analysis Hierarchies inhibits further improvement this concept. In paper we address issue by proposing a generator synthetic hierarchical data that can be used benchmarking Hierarchy generation methods. Th...

the comprehensive assessment model considers the financial and non-financial aspects as balanced scorecard. also, for more comprehensive results of the investigation, four aspects of the balanced scorecard were used and then by using fuzzy delphi technique and experts' opinions, the standard aspects of each were achieved in two stages. to determine the importance of each aspect of bsc, the proce...

This paper considers a case study of a batch chemical scheduling problem on a moving horizon with significant uncertainties in demand. The scheduling problem is represented as a two-stage stochastic integer program and solved by a stage-decomposition based hybrid algorithm with an evolutionary algorithm for the first-stage and mathematical programming for the second-stage. We describe an engine...

PURPOSE Gastric cancer is heterogeneous clinically and histologically, and prognosis prediction by tumor grade or type is difficult. Although previous studies have suggested that frozen tissue-based molecular classifications effectively predict prognosis, prognostic classification on formalin-fixed tissue is needed, especially in early gastric cancer. EXPERIMENTAL DESIGN We immunostained 659 ...