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Pablo Tamayo

Researcher at University of California, San Diego

Publications -  185
Citations -  117545

Pablo Tamayo is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Cancer & Gene. The author has an hindex of 72, co-authored 177 publications receiving 97318 citations. Previous affiliations of Pablo Tamayo include University of California, Berkeley & Harvard University.

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Abstract S1-01: Whole exome and transcriptome sequencing of resistant ER+ metastatic breast cancer

TL;DR: Multiple clinically relevant genomic and molecular alterations are identified in metastatic biopsies– with implications for choice of next therapy, clinical trial eligibility, and novel drug targets.
Patent

Non-negative matrix factorization in a relational database management system

TL;DR: In this article, an implementation of NMF functionality integrated into a relational database management system provides the capability to apply NMF to relational datasets and to sparse datasets, where each data table being smaller than the multi-dimensional data table and having a reduced dimensionality relative to the multidimensional data table.
Patent

Projection mining for advanced recommendation systems and data mining

TL;DR: In this paper, the authors propose a method for projection mining, which consists of performing a first projection on a first data object of a first type comprising a plurality of data entries and a second data object consisting of a second type including data entries, and then performing a second projection of the definitions of the attributes of the first object and the definition of the second object into a space of meta-attributes based on semantic relationships among them.
Patent

Methods for predicting chemosensitivity or chemoresistance

TL;DR: In this article, methods and apparatus for classifying or predicting the classes for samples based on gene expression are described, and methods and methods for ascertaining or discovering new, previously unknown classes of gene expression.