000009633 001__ 9633
000009633 005__ 20240411123232.0
000009633 0247_ $$2DOI$$a10.6083/g158bj19x
000009633 037__ $$aIR
000009633 245__ $$aMachine learning for cancer subtyping: sampling effects on predictive accuracy and feature selection
000009633 260__ $$bOregon Health and Science University
000009633 269__ $$a2022-04-21
000009633 336__ $$aAbstract
000009633 520__ $$aAccurate classification of cancer subtypes based on genomic data is a key component of precision oncology. Subtyping allows for better alignment of therapeutics with the specific biology of an individual patient's tumor. Training predictive models for classification requires collection, sequencing, and labeling of patient samples which incurs significant cost and thus motivates an estimation of the minimum number of samples required to attain a particular classification accuracy. In this work, a minimum sample size estimation strategy for machine learning cancer subtype prediction is developed by combining a subsampling method for learning curve generation with an inverse power law curve fitting method.
000009633 540__ $$fCC BY
000009633 542__ $$fIn copyright - joint owners
000009633 650__ $$aMachine Learning$$011449
000009633 650__ $$aNeoplasms$$022758
000009633 6531_ $$acancer subtypes
000009633 6531_ $$apower law curve fitting
000009633 6531_ $$afeature engineering
000009633 6531_ $$athe cancer genome atlas
000009633 6531_ $$aprecision oncology
000009633 691__ $$aSchool of Medicine$$041369
000009633 692__ $$aDepartment of Biomedical Engineering$$041397
000009633 692__ $$aOHSU Knight Cancer Institute$$041488
000009633 7001_ $$aKarlberg, Brian$$uOregon Health and Science University$$041354
000009633 7001_ $$aLee, Jordan$$uOregon Health and Science University$$041354
000009633 7001_ $$aWong, Chris$$uOregon Health and Science University$$041354
000009633 7001_ $$aStuart, Josh$$uOregon Health and Science University$$041354
000009633 7001_ $$aEllrott, Kyle$$uOregon Health and Science University$$041354
000009633 711__ $$aResearch Week$$uOregon Health and Science University$$d2022
000009633 8564_ $$9b27f3670-2ba1-4a59-bb46-4ed388550d6b$$s55177$$uhttps://digitalcollections.ohsu.edu/record/9633/files/Karlberg_sample_count_abstract_2022-04-20.pdf
000009633 905__ $$a/rest/prod/g1/58/bj/19/g158bj19x
000009633 980__ $$aResearch Week