Prostate Cancer

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Prostate cancer or carcinoma of the prostate is a very complicated disease. Research on cancer indicates that prostate cancer is the second most diagnosed disease in the world. Moreover, splicing plays a crucial role in regulatory action on organisms’ transcriptomes. Around half of human genes have more than one splice variant. Spliced exons can seize several features that distinguish them from non-spliced ones, those features can be used to distinguish alternative from constitutive exons, transcription data set which has the alternative splicing events. In the present study, machine learning methods are used to extract the most relevant attributes in the gene transcription for prostate cancer data set. These can distinguish cancer from normal …show more content…

Prostate cancer, a very common cancer, is considered as one of the most dangerous diseases and it has a very high death percentage. A research suggested that one in seven men will be diagnosed with prostate cancer in their lives CITATION Wal14 \l 1033 [1]. It is believed that there are three challenges in prostate cancer research. These challenges are risk assessment, differential diagnosis of aggressive and non-aggressive cancer, and developing new treatments for advanced disease. During the last decade, a lot of research has been carried out to understand the reasons, symptoms and treatment of Prostate cancer. Previously it was difficult to diagnose and treat prostate cancer, but recently tremendous progress has been made. Cancer cells have ability to grow uncontrollably. They can migrate from primary lesion and can create metastases in distant tissues. There is a lot of evidence available that suggests that alternative splicing, a process that allows the production of several mRNA variants from each gene, is responsible for the heterogeneity of the disease. The International Research Agency for Cancer has been working on estimating global cancer burden for last three …show more content…

Alamancos and his team gave an overview of the available methods to study splicing. This overview can be used by newcomers who need to decide which tool is appropriate for them [14]. Tamara Steijgar et al. have also focused on RNA-seq. They have made an assessment of transcript reconstruction methods for RNA-seq. They evaluated 25 protocol variants of 14 independent computational methods for exon identification, transcript reconstruction, and expression level qualification from RNA-seq data. They found out very interesting results. Their results showed that most of the algorithms are able to find out discrete transcript components but complete assembly of isoform structure is still a challenge. They concluded that for the analysis of current generation RNA-seq data, the complexity of higher eukaryotic genomes creates a lot of limitations on splice product discrimination and transcript recall [15]. Detailed protein information can be obtained using ExPASy. The ExPASy is an online proteomics server which provides in-depth protein knowledge and information. There are specific analytical tools available which can be used for tasks related to proteomics. In short, The ExPASy is the best platform to get information regarding proteomics [11]. Rasoul and

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