Application of multiple support vector machine recursive feature elimination model in cancer feature gene selection / 国际生物医学工程杂志

Objective To analyze the cancergene expression profile data using multi-support vector machine recursive feature elimination algorithm (MSVM-RFE) and calculate the genetic ranking score to obtain the optimal feature gene subset. Methods Gene expression profiles of bladder cancer, breast cancer, colon cancer and lung cancer were downloaded from GEO (Gene Expression Omnibus) database.The differentially expressed genes were obtained by differential expression analysis. The differential gene expressions were sequenced by MSVM-RFE algorithm and the average test errors of each gene subset were calculated. Then the optimal gene subsetsof four kinds of cancer were obtained according to the minimum average test errors. Based on the datasets of four kinds of cancer characteristic genes before and after screening, linear SVM classifiers were constructed and the classification efficiencies of the optimal feature gene subsets were verified. Results Using the optimal feature gene subsetobtained by MSVM-RFE algorithm, the classification accuracy was improved from (96.77±1.28)％to (99.85±0.46)％for the bladder cancer data, improved from (83.77±4.93)％to (88.30±3.85)％for the breast cancer data, and improved from (72.69±2.41)％to (90.21±3.31)％for the lung cancer data.Besides, theoptimal feature gene subsetkept the classification accuracy of colon cancer classifierat a high level (>99.5％). Conclusions The feature gene extraction based on MSVM-RFE algorithm can improve the classification efficiency of cancer.

The Application of Ventilator Lengthening Tube in Hyperbaric Oxygen Therapy for Patients with Tracheotomy / 现代医院

Objective To Observe and evaluate the effect of hyperbaric oxygen therapy for patients with tracheotomy using ventilator lengthening tube. Methods 75 patients with tracheotomy in our hospital from January 2017 to January 2018 were divided into the study group (n = 38 cases) and the control group (n = 37 cases) according to the random number method. The control group used conventional oxygen inhalation while the study group used the ventilator tube after prolonged special oxygen hyperbaric oxygen pipe three (built-in ventilation pipe check valve) and bellows connecting an oxygen supply device, compared two groups of patients with oxygen inhalation methods suction phlegm oxygen concentration times and cabin, every time when treating. Results The rate of oxygen inhalation in the study group was 97. 37％ (37/38) higher than that of the control group (81. 08％ (30/37)), and the difference was statistically significant (P＜0. 05). The number of sputum sucking in the study group was (1. 02 ± 0. 36) times less than that of the control group (2. 32 ± 0. 53), and the difference was statistically significant (P＜0. 05). The total time of hospitalization in the study group was (16. 4 ± 2. 4) d, and the total time of hospitalization in the control group was (21. 7 ± 3. 2) d, the difference was statistically significant(WTBX〗P＜0. 05). The score of GCS in the study group was higher than that of the control group, and the difference was statistically significant (P＜0. 01). Conclusion The ventilator extension tube for hyperbaric oxygen therapy in patients with tracheotomy improves the oxygen concentration, ensures the curative effect, reduces the oxygen concentration in the cabin and reduces security risks; the operation method is safe, simple and practical and convenient for clinical application.

Spinal muscular atrophy with open bite: A case report / 华西口腔医学杂志

Spinal muscular atrophy is one rare type of autosomal recessive disorder. The disease is characterized by the progressive degeneration of spinal cord anterior horn motor neurons and brainstem motor nuclei, which leads to muscle atrophy and paralysis. One case of spinal muscular atrophy with open bite was reported here.

Relativity of gene expression and co-regulated gene patterns in feature KEGG pathways / 生物工程学报

We revealed the feature pathways by computing the classification error rates of out-of-bag (OOB) by random forests combined with pathway analysis. At each feature pathway, the relativity of gene expression was studied and the co-regulated gene patterns under different experiment conditions were analyzed by MAP (Mining attribute profile) algorithm. The discovered patterns were also clustered by the average-linkage hierarchical clustering technique. The results showed that the expression of genes at the same pathway was similar. The co-regulated patterns were found in two feature pathways of which one contained 108 patterns and the other contained 1 pattern. The results of clusters showed that the smallest Pearson coefficient of the clusters was more than 0.623, indicating that the co-regulated patterns in different experiment conditions were more similar at the same KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway. The methods can provide biological insight into the study of microarray data.