On the lengths of -based confidence intervals.

Confidence interval is a basic type of interval estimation in statistics. When dealing with samples from a normal population with the unknown mean and the variance, the traditional method to construct -based confidence intervals for the mean parameter is to treat the sampled units as groups and build the intervals. Here we propose a generalized method.

An effective analytic method for detecting tissue-specific genes in RNA-seq experiments.

Aim: To develop an analytic method for identifying tissue-specific (TS) genes from RNA-seq data.

Materials & Methods: Based on a negative binomial distribution, we develop a statistical method containing consecutive procedures incorporating data variability from replicates in each tissue.

Results: Simulations show that our approach can effectively identify at least 94% of the truly TS genes if the sample size is 3 and at least 84% of the TS genes detected by our method are truly TS genes.

Abnormal localization of immature precursors (ALIP) detection for early prediction of acute myelocytic leukemia (AML) relapse.

Acute myelocytic leukemia (AML) is a relapsing and deadly disease. Thus, it is important to early predict leukemia relapse. Recent studies have demonstrated strong correlations of relapse with abnormal localization of immature precursors (ALIP).

Psoriasis prediction from genome-wide SNP profiles.

Background: With the availability of large-scale genome-wide association study (GWAS) data, choosing an optimal set of SNPs for disease susceptibility prediction is a challenging task. This study aimed to use single nucleotide polymorphisms (SNPs) to predict psoriasis from searching GWAS data.

Methods: Totally we had 2,798 samples and 451,724 SNPs.

Investigation gene and microRNA expression in glioblastoma.

Background: Glioblastoma is the most common primary brain tumor in adults. Though a lot of research has been focused on this disease, the causes and pathogenesis of glioblastoma have not been indentified clearly.

Results: We indentified 1,236 significantly differentially expressed genes, and 30 pathways enriched in the set of differentially expressed genes among 243 tumor and 11 normal samples.

[Relationship between plasma protein expression profiles and states of Zang-Fu organs in patients with phlegm or blood stagnation syndromes due to hyperlipidemia and atherosclerosis].

Objective: To investigate the relationship between the plasma biomarker proteins and the states of Zang-Fu organs in patients with phlegm or blood stagnation syndromes due to hyperlipidemia and atherosclerosis.

Methods: The states of Zang-Fu organs in 146 patients with hyperlipidemia and atherosclerosis were diagnosed by syndrome differentiation of traditional Chinese medicine. The plasma proteins from these patients were separated by two-dimensional polyacrylamide gel electrophoresis (2-DE).

[Construction and utilization of the prognostic model of serous ovarian adenocarcinoma].

Objective: To analyze the related factors with prognosis in patients with serous ovarian adenocarcinoma and to set up a prognostic model of serous ovarian adenocarcinoma.

Methods: The clinical, pathological and follow-up data of 104 cases with serous ovarian adenocarcinoma were retrospectively analyzed. Kaplan-meier univariate analysis was used to screen the prognostic factors; COX univariate and multivariate analyses were used to determine the risk coefficient of each factors and different layers in each factor.

[Applying matching matrix, factor analysis and clustering analysis to investigation of characteristics of syndromes of phlegm and blood stasis in patients with coronary heart disease].

Objective: To investigate the characteristics of syndromes of phlegm and blood stasis in patients with coronary heart disease by multiple statistical methods of matching matrix, factor analysis and clustering analysis, and to provide some references for classification and normalization of diagnosis of syndromes of phlegm and blood stasis of coronary heart disease.

Methods: The correlations among 46 kinds of symptoms in syndrome of non-phlegm and non-blood stasis, syndrome of blood stasis, syndrome of phlegm and syndrome of phlegm-blood stasis blocking in 200 patients with coronary heart disease were analyzed by matching matrix, factor analysis and clustering analysis.

Results: The manifestations of tongue and pulse in syndromes of phlegm and blood stasis were significantly different from those in syndrome of non-phlegm and non-blood stasis.

Identification of genetic networks.

In this report, we propose the use of structural equations as a tool for identifying and modeling genetic networks and genetic algorithms for searching the most likely genetic networks that best fit the data. After genetic networks are identified, it is fundamental to identify those networks influencing cell phenotypes. To accomplish this task we extend the concept of differential expression of the genes, widely used in gene expression data analysis, to genetic networks.