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| 1 | New trends in molecular and cellular biomarker discovery for colorectal cancer显示文摘Colorectal cancer(CRC) is the third leading cause of cancer death worldwide, which is consequence of multistep tumorigenesis of several genetic and epigenetic events. Since CRC is mostly asymptomatic until it progresses to advanced stages, the early detection using effective screening approaches, selection of appropriate therapeutic strategies and efficient follow-up programs are essential to reduce CRC mortalities. Biomarker discovery for CRC based on the personalized genotype and clinical information could facilitate the classification of patients with certain types and stages of cancer to tailor preventive and therapeutic approaches. These cancer-related biomarkers should be highly sensitive and specific in a wide range of specimen(s)(including tumor tissues, patients' fluids or stool). Reliable biomarkers which enable the early detection of CRC, can improve early diagnosis, prognosis, treatment response prediction, and recurrence risk. Advances in our understanding of the natural history of CRC have led to the development of different CRC associated molecular and cellular biomarkers. This review highlights the new trends and approaches in CRC biomarker discovery, which could be potentially used for early diagnosis, development of new therapeutic approaches and follow-up of patients. | Parisa Aghagolzadeh Ramin Radpour | 2016 | World Journal of Gastroenterology2016，22，25： | 5 |
| 2 | A supervised multimanifold method with locality preserving for face recognition using single sample per person显示文摘Although real-world experiences show that preparing one image per person is more convenient, most of the appearance-based face recognition methods degrade or fail to work if there is only a single sample per person(SSPP). In this work, we introduce a novel supervised learning method called supervised locality preserving multimanifold(SLPMM) for face recognition with SSPP. In SLPMM, two graphs: within-manifold graph and between-manifold graph are made to represent the information inside every manifold and the information among different manifolds, respectively. SLPMM simultaneously maximizes the between-manifold scatter and minimizes the within-manifold scatter which leads to discriminant space by adopting locality preserving projection(LPP) concept. Experimental results on two widely used face databases FERET and AR face database are presented to prove the efficacy of the proposed approach. | Nabipour Mehrasa Aghagolzadeh Ali Motameni Homayun | 2017 | Journal of Central South University2017，24，12： | 3 |
| 3 | Feature extraction using discrete cosine transform and discrimination power analysis with a face recognition technology显示文摘 | DABBAGHCHIAN S GHAEMMAGHAMI M P AGHAGOLZADEH A | 2010 | Pattern Recognition2010，43，4： | 1 |
| 4 | Transform Image Enhancement显示文摘 | AGHAGOLZADEH S ERSOY O K | 1992 | Optical Engineering1992，31，3： | 1 |
| 5 | Edge Detection Using Directional Wavelet Transform显示文摘 | Javad Musevi Niya Ali Aghagolzadeh | 2004 | IEEE MEL ECON2004，12，1： | 1 |
| 6 | De-signing a sliding mode controller for slip control of antilock brake systems显示文摘 | AGHAGOLZADEH H ALIZADEH G SADEGHI M | | 0，，： | 1 |
| 7 | Multi-focus image fusion for visual sensor networks in DCT domain显示文摘 | Haghighat M B A Aghagolzadeh A Seyedarabi H | 2011 | Computers and Electrical Engineering2011，37，5： | 1 |
| 8 | Transform image enhancement显示文摘 | Aghagolzadeh S Ersoy O K | 1992 | Opt Eng1992，31，3： | 1 |
| 9 | Designing a sliding mode controller for slip control of antilock brake systems 显示文摘 | Harifi A Aghagolzadeh A Alizadeh G | 2008 | Transportation Research Part C : Emerging Technologies2008，16，6： | 1 |
| 10 | A new rateless code with unequal error protection property显示文摘 | Namjoo E Aghagolzadeh A Museviniya J | 2013 | Computers and Electrical Engineering2013，，39： | 1 |
| 11 | Multi-Focus Image Fusion for Visual Sensor Networks in DCT Domain显示文摘 | HAGHIGHAT M B A AGHAGOLZADEH A SEYEDARABI H | 2011 | Computers and Electrical Engineering2011，37，78： | 1 |
| 12 | Transform image enhancement显示文摘 | IS Aghagolzadeh O K Ersoy | 1992 | Optical Engineering1992，31，3： | 1 |
| 13 | Feature extraction using discrete cosine transform and discrimination power analysis with a face recognition technology 显示文摘 | Dabbaghchian S Ghaemmaghami M P0 Aghagolzadeh A | 2010 | Pattern Recogni- tion2010，43，4： | 1 |
| 14 | Wavelet-based edge detection using directional wavelet transform 显示文摘 | Niya J M Aghagolzadeh A | 2006 | Wseas Transactions on Signal Processing2006，2，2： | 1 |
| 15 | The a- nalysis of English-Persian legal translations based on sys- temic functional grammar approach 显示文摘 | Ferdows Aghagolzadeh Faezeh Farazandeh-pour | 2012 | Theory and Prac- tice in Language Studies2012，2，21： | 1 |
| 16 | Edge detection using di- rectional wavelettransform显示文摘 | Javad Musevi Niya Ali Aghagolzadeh | 2004 | IEEE Melecon2004，47，： | 1 |
| 17 | Compressive framework for demosaicing of natural images显示文摘 | Moghadam A A Aghagolzadeh M Kumar M | 2013 | IEEE Trans on Image Processing2013，22，6： | 1 |
| 18 | Feature extraction using discrete cosine transform anddiscrimination power analysis with a face recognitiontechnology显示文摘 | Dabbaghchian S Ghaemmaghami M Aghagolzadeh A | 2010 | Pattern Recognition2010，43，4： | 1 |
| 19 | Edge detection using directional wavelet transform 显示文摘 | Javad Musevi Niya and Ali Aghagolzadeh | 2004 | IEEE Melecon2004，，5： | 1 |
| 20 | Edge detection using directional wavelet transform显示文摘 | Niya J M Aghagolzadeh A | 2004 | IEEE Melecon2004，，： | 1 |
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