9 hasil untuk "Tian, Li-ping"
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Artikel Jurnal Teks lengkap
Nonlinear-Model-Based Analysis Methods for Time-Course Gene Expression Data
Microarray technology has produced a huge body of time-course gene expression data and will continue to produce more. Such gene expression data has been proved useful in genomic disease diagnosis and drug design. The challenge is how to uncover useful information from such data by proper analysis…
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Artikel Jurnal Teks lengkap
Complexity Analysis and Parameter Estimation of Dynamic Metabolic Systems
A metabolic system consists of a number of reactions transforming molecules of one kind into another to provide the energy that living cells need. Based on the biochemical reaction principles, dynamic metabolic systems can be modeled by a group of coupled differential equations which consists of…
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Artikel Jurnal Teks lengkap
State Observer Design for Delayed Genetic Regulatory Networks
Genetic regulatory networks are dynamic systems which describe the interactions among gene products (mRNAs and proteins). The internal states of a genetic regulatory network consist of the concentrations of mRNA and proteins involved in it, which are very helpful in understanding its dynamic…
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Artikel Jurnal Teks lengkap
Nonlinear Model-Based Method for Clustering Periodically Expressed Genes
Clustering periodically expressed genes from their time-course expression data could help understand the molecular mechanism of those biological processes. In this paper, we propose a nonlinear model-based clustering method for periodically expressed gene profiles. As periodically expressed genes…
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Artikel Jurnal Teks lengkap
Ensemble disease gene prediction by clinical sample-based networks
BACKGROUND: Disease gene prediction is a critical and challenging task. Many computational methods have been developed to predict disease genes, which can reduce the money and time used in the experimental validation. Since proteins (products of genes) usually work together to achieve a specific…
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Artikel Jurnal Teks lengkap
M‐matrix‐based stability conditions for genetic regulatory networks with time‐varying delays and noise perturbations
Stability is essential for designing and controlling any dynamic systems. Recently, the stability of genetic regulatory networks has been widely studied by employing linear matrix inequality (LMI) approach, which results in checking the existence of feasible solutions to high‐dimensional LMIs. In…
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Artikel Jurnal Teks lengkap
AI-Driven Decimeter-Level Indoor Localization Using Single-Link Wi-Fi: Adaptive Clustering and Probabilistic Multipath Mitigation
HIGHLIGHTS: What are the main findings? An AI-driven single-link Wi-Fi CSI localization framework is proposed, achieving decimeter-level indoor positioning accuracy without relying on historical trajectories or multi-link infrastructure. A two-stage TOF estimation combined with adaptive…
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Artikel Jurnal Teks lengkap
Influence of adriamycin on changes in Nanog, Oct-4, Sox2, ARID1 and Wnt5b expression in liver cancer stem cells
AIM: To determine the influence of Adriamycin (ADM) on the changes in Nanog, Oct4, Sox2, as well as, in ARID1 and Wnt5b expression in liver cancer stem cells. METHODS: The MHCC97-L and HCCLM3 liver cancer cell lines were selected as the cell models in this study, and were routinely cultured. The…
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Artikel Jurnal Teks lengkap
Circulating T lymphocyte subsets, cytokines, and immune checkpoint inhibitors in patients with bipolar II or major depression: a preliminary study
This study aimed to investigate the less known activation pattern of T lymphocyte populations and immune checkpoint inhibitors on immunocytes in patients with bipolar II disorder depression (BD) or major depression (MD). A total of 23 patients with BD, 22 patients with MD, and 20 healthy controls…