Presentation Title

Multi-granular modeling: the chase for hidden cancer mechanisms

Advisor Information

Hesham Ali

Location

UNO Criss Library, Room 232

Presentation Type

Oral Presentation

Start Date

2-3-2018 9:15 AM

End Date

2-3-2018 9:30 AM

Abstract

Modern biomedical research instruments have promised higher accuracy and precision. Further, data integration from these data were supposed to bring us an era of biomedical progress. However, overparsimoniousness and novel data sensitivities have left much research projects inert. For the past few years, we have developed knowledge of granularity and other integration sensitivities. Now our research focuses on just how far a granularity-aware data integration project can take cancer research. Using 182 TCGA RNA-Seq samples, we have constructed a multi-granularity model which allows us to examine potential cancer mechanisms at in high detail.

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Mar 2nd, 9:15 AM Mar 2nd, 9:30 AM

Multi-granular modeling: the chase for hidden cancer mechanisms

UNO Criss Library, Room 232

Modern biomedical research instruments have promised higher accuracy and precision. Further, data integration from these data were supposed to bring us an era of biomedical progress. However, overparsimoniousness and novel data sensitivities have left much research projects inert. For the past few years, we have developed knowledge of granularity and other integration sensitivities. Now our research focuses on just how far a granularity-aware data integration project can take cancer research. Using 182 TCGA RNA-Seq samples, we have constructed a multi-granularity model which allows us to examine potential cancer mechanisms at in high detail.