000 03403nam a22003735i 4500
001 286048
003 MX-SnUAN
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007 cr nn 008mamaa
008 150903s2010 xxu| o |||| 0|eng d
020 _a9781441908117
_99781441908117
024 7 _a10.1007/9781441908117
_2doi
035 _avtls000338111
039 9 _a201509030322
_bVLOAD
_c201404300340
_dVLOAD
_y201402060902
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aRC261-271
100 1 _aPham, Tuan.
_eeditor.
_9314525
245 1 0 _aComputational Biology :
_bIssues and Applications in Oncology /
_cedited by Tuan Pham.
264 1 _aNew York, NY :
_bSpringer New York,
_c2010.
300 _aviii, 309 páginas 90 ilustraciones, 26 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aApplied Bioinformatics and Biostatistics in Cancer Research
500 _aSpringer eBooks
505 0 _aIdentification of Relevant Genes from Microarray Experiments based on Partial Least Squares Weights: Application to Cancer Genomics -- Geometric Biclustering and Its Applications to Cancer Tissue Classification Based on DNA Microarray Gene Expression Data -- Statistical Analysis on Microarray Data: Selection of Gene Prognosis Signatures -- Agent-Based Modeling of Ductal Carcinoma In Situ: Application to Patient-Specific Breast Cancer Modeling -- Multicluster Class-Based Classification for the Diagnosis of Suspicious Areas in Digital Mammograms -- Analysis of Cancer Data Using Evolutionary Computation -- Analysis of Population-Based Genetic Association Studies Applied to Cancer Susceptibility and Prognosis -- Selected Applications of Graph-Based Tracking Methods for Cancer Research -- Recent Advances in Cell Classification for Cancer Research and Drug Discovery -- Computational Tools and Resources for Systems Biology Approaches in Cancer -- Laser Speckle Imaging for Blood Flow Analysis -- The Challenges in Blood Proteomic Biomarker Discovery.
520 _aComputational Biology: Issues and Applications in Oncology provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the areas of computational biology, bioinformatics, and medical informatics. With chapters timely prepared and written by experts in the field, this in-depth and up-to-date volume covers advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, image and pattern analysis applied to cancer research. The literature and coverage of a spectrum of key topics in issues and applications in oncology make this a useful resource to computational life-science researchers wishing to enhance the most recent knowledge to facilitate their own investigations.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781441908100
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-0811-7
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c286048
_d286048