Method for chromosome classification by decorrelation statistical analysis and hardware therefore

• 1. 一种基于深度学习的染色体核型图分类方法及装置 [P] . 中国专利： CN112733873A . 2021-04-30
• 2. 一种基于深度学习的染色体自动分割和分类方法 [P] . 中国专利： CN113658150A . 2021-11-16
• 3. METHOD FOR CHROMOSOME CLASSIFICATION BY DECORRELATION STATISTICAL ANALYSIS AND HARDWARE THEREFORE [P] . 欧洲知识产权局专利： EP0935679B1 . 2004-11-24

  机译： 解相关统计分析的染色体分类方法及其硬件维护。

• 4. METHOD FOR CHROMOSOME CLASSIFICATION BY DECORRELATION STATISTICAL ANALYSIS AND HARDWARE THEREFORE [P] . 欧洲知识产权局专利： EP0935679A4 . 2001-01-24

  机译： 解相关统计分析的染色体分类方法及其硬件维护。

• 5. METHOD FOR CHROMOSOME CLASSIFICATION BY DECORRELATION STATISTICAL ANALYSIS AND HARDWARE THEREFORE [P] . 欧洲知识产权局专利： EP0935679A1 . 1999-08-18

  机译： 解相关统计分析的染色体分类方法及其硬件维护。

• 1. A REGION BASED DECORRELATION STRETCHING METHOD: APPLICATION TO MULTISPECTRAL CHROMOSOME IMAGE CLASSIFICATION [C] . Petros S. Karvelis, Dimitrios I. Fotiadis International Conference on Image Processing . 2008
• 2. STUDY OF LASER AND WHITE-LIGHT SPECKLE METHODS FOR DEFORMATION MEASUREMENT (STATISTICS, CORRELATION, FRINGE, OPTICAL FILTERING, DECORRELATION). [D] . LI, DA-WEI. 1985
• 3. Real-time dynamic range and signal to noise enhancement in beam-scanning microscopy by integration of sensor characteristics data acquisition hardware and statistical methods [O] . David J. Kissick, Ryan D. Muir, Shane Z. Sullivan, -1
• 4. Pollen Classification Based on Geometrical, Descriptors and Colour Features Using Decorrelation Stretching Method [O] . Ticay-Rivas, Jaime,, Pozo-Baños, Marcos,, Travieso, Carlos,, 2011
• 5. Probability and Statistics in Item Analysis and Classification Problems:An Expansion Principle for Distribution Functions with Applications to Student’s Statistic and the One-Dimensional Classification Statistic [R] . Gustav Elfving 1957

• 1. Statistical Methods for Classification of Medicinal Plants [J] . Dong Hyuk Lee ,Dongho Lee ,Jae Won Lee . 化学与化工 . 2014,第007期
• 2. Image Classification using Statistical Learning Methods [J] . Jassem Mtimet ,Hamid Amiri . 软件工程与应用（英文） . 2012,第12期
• 3. Realizable Hardware-Based Method for Digital Modulation Classification [J] . 韩力 ,万金波 . 北京理工大学学报：英文版 . 2005,第4期
• 4. BACKGROUND： Vibrio vulnifi cus inside the body could activate the NF-!B signaling pathwayand initiate the inflammatory cascade. The lung is one of the earliest organs affected by sepsisassociated with acute lung injury. High mobility group protein B1 （HMGB1） is an important late-actingpro-infl ammatory cytokine involving in the pathophysiology of sepsis. It is also involved in the injuryprocess in the lung, liver and intestine. There has been no report on the involvement of HMGB1 inVibrio vulnifi cus sepsis-induced lung injury.METHODS： Sixty rats were randomly divided into a normal control group （group A, n=10） anda Vibrio vulnificus sepsis group （group B, n=50）. Sepsis was induced in the rats by subcutaneousinjection of Vibrio vulnificus （concentration 6×108 cfu/mL, volume 0.1 mL/100g）） into the left lowerlimbs. The rats in group B were sacrifi ced separately 1, 6, 12, 24, and 48 hours after the infection.Their lungs were stored as specimens, lung water content was measured, and lung pathology wasobserved under a light microscope. The expressions of the HMGB1 gene and protein in the lungswere detected by RT-PCR and Western blot. Data were analyzed with one-way analysis of variance（ANOVA） and the LSD method for pair-wise comparison between the two groups. P〈0.05 wasconsidered statistically signifi cant.RESULTS： Compared to group A （0.652±0.177）, HMGB1 mRNA expression in the lungs ofgroup B was signifi cantly higher at 0 hour （1.161±0.358, P=0.013）, 24 hours （1.679±0.235, P=0.000）,and 48 hours （1.258±0.274, P=0.004） （P〈0.05）, and peaked at 24 hours. Compared to group A（0.594±0.190）, HMGB1 protein expression at 6 hours （1.408±0.567, P=0.026） after infection wassignificantly increased （P〈0. 05）, and peaked at 24 hours （2.415±1.064, P=0.000） after infection.Compared to group A （0.699±0.054）, lung water content was significantly increased at 6 hours（0.759±0.030, P=0.001）,12 hours （0.767±0.023, P=0.000）, 24 hours （0.771±0.043, P=0.000） and 48hours （0.789±0.137, P=0.000） after infection （P〈0.05）. Compared to group A, pathological changesat 12 hours in group B indicate marked pulmonary vascular congestion, interstitial edema andinfl ammatory infi ltration. Alveolar cavity collapse and boundaries of the alveolar septum could not beclearly identifi ed.CONCLUSION： Vibrio vulnifi cus sepsis can lead to injury in rat lungs, and increased HMGB1expression in lung tissue may be one of the mechanisms for injury from Vibrio vulnifi cus sepsis. [J] . Qiao-meng Qiu ,Zhong-wang Li ,Lu-ming Tang . 世界急诊医学杂志(英文) . 2011,第4期
• 5. Construction and analysis of tree models for chromosomal classification of diffuse large B-cell lymphomas [J] . Hui-Yong Jiang ,Zhong-Xi Huang ,Xue-Feng Zhang . 世界胃肠病学杂志：英文版 . 2007,第11期
• 6. 化学事故统计分析及分类方法的研究 [C] . 张建祥 ,王明贤 . 2003中国(南京)首届城市与工业安全国际会议 . 2003
• 7. 基于演化硬件的DNA微阵列数据分类方法研究 [A] . 陈文 . 2012