Advisors
Now showing items 1-4 of 4
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Active learning methods based on statistical leverage scores
(Bilkent University, 2016-08)In many real-world machine learning applications, unlabeled data are abundant whereas the class labels are expensive and/or scarce. An active learner aims to obtain a model with high accuracy with as few labeled instances ... -
Identification of cancer patient subgroups via pathway based multi-view graph kernel clustering
(Bilkent University, 2017-07)Characterizing patient genomic alterations through next-generation sequencing technologies opens up new opportunities for re ning cancer subtypes. Di erent omics data provide di erent views into the molecular biology of ... -
A utility maximizing and privacy preserving approach for protecting kinship in genomic databases
(Bilkent University, 2017-03)Rapid and low cost sequencing of genomic data enables widespread use of genomic information in research studies and personalized customer applications, where people share their genomic data in public databases. Although ... -
A weakly supervised clustering method for cancer subgroup identification
(Bilkent University, 2016-07)Each cancer type is a heteregonous disease consisting of subtypes, which may be distinguished at the molecular, histopathological, and clinical level. Identifying the patient subtypes of a cancer type is critically important ...
