{"product_id":"cancer-bioinformatics-9781071645659","title":"Cancer Bioinformatics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003e \u003c\/span\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003eBioconductor’s Computational Ecosystem for Genomic Data Science in Cancer.- Informatics Workflows for scalable data analysis: an RNA sequencing tutorial.- \u003cspan style=\"color: black; mso-color-alt: windowtext; background: white;\"\u003eUsing the Cancer Epitope Database and Analysis Resource (CEDAR).- \u003c\/span\u003e\u003cspan class=\"MsoBookTitle\"\u003e\u003cspan style=\"font-weight: normal; font-style: normal;\"\u003eQuantifying the Prevalence of Non-B DNA Motifs as a Marker of Non-B Burden in Cancer using NBBC.-\u003c\/span\u003e\u003c\/span\u003e\u003cspan class=\"MsoBookTitle\"\u003e\u003cspan style=\"font-style: normal;\"\u003e \u003c\/span\u003e\u003c\/span\u003eStarfish: deciphering complex genomic rearrangement signatures across human cancers.- \u003cspan style=\"color: #212121;\"\u003eUsing FFPEsig to remove formalin-induced artefacts and characterise mutational signatures in cancer.- \u003c\/span\u003eInferring phenotypes of copy number clones in cancer populations using TreeAlign.- \u003cspan style=\"color: black;\"\u003eInference of genetic ancestry from cancer-derived molecular data with RAIDS.- \u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-themecolor: text1;\"\u003ePruning-assisted modeling of network graph connectivity from spatial transcriptomic data.- \u003c\/span\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003eInferring metabolic flux from gene-expression data using METAFlux.- \u003cspan class=\"MsoBookTitle\"\u003e\u003cspan style=\"font-weight: normal; font-style: normal;\"\u003eFunctional Pathway Inference Analysis (FPIA).-\u003c\/span\u003e\u003c\/span\u003e\u003cspan class=\"MsoBookTitle\"\u003e\u003cspan style=\"font-style: normal;\"\u003e \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eNGP: a tool to detect noncoding RNA-gene regulatory pairs from expression data.- \u003c\/span\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003eMODIG: An Attention Mechanism-based \u003c\/span\u003e\u003cspan style=\"font-family: 'Times New Roman',serif; mso-fareast-language: ZH-CN;\"\u003eApproach\u003c\/span\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003e for Cancer Driver Gene Identification.- Predictive modeling of anti-cancer drug sensitivity using REFINED \u003ca name=\"_Int_5QIS1JPt\"\u003e\u003c\/a\u003eCNN.- Anti-cancer monotherapy and polytherapy drug response prediction using deep learning: guidelines and best practices.- Identification of somatic variants in cancer genomes from tissue and liquid biopsy samples.- SUMMER: a practical tool for identifying factors and biomarkers associated with pan-cancer survival.- Predicting tumor antigens using the LENS workflow through RAFT.\u003c\/span\u003e\u003c\/p\u003e","brand":"Humana","offers":[{"title":"Default Title","offer_id":53186416181591,"sku":"9781071645659","price":143.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/cancer-bioinformatics-9781071645659","provider":"Book Curl","version":"1.0","type":"link"}