FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3019107540> ?p ?o ?g. }

• W3019107540 abstract "A classic problem in computational biology is the identification of altered subnetworks: subnetworks of an interaction network that contain genes/proteins that are differentially expressed, highly mutated, or otherwise aberrant compared to other genes/proteins. Numerous methods have been developed to solve this problem under various assumptions, but the statistical properties of these methods are often unknown. For example, some widely-used methods are reported to output very large subnetworks that are difficult to interpret biologically. In this work, we formulate the identification of altered subnetworks as the problem of estimating the parameters of a class of probability distributions which we call the Altered Subset Distribution (ASD). We derive a connection between a popular method, jActiveModules, and the maximum likelihood estimator (MLE) of the ASD. We show that the MLE is statistically biased, explaining the large subnetworks output by jActiveModules. We introduce NetMix, an algorithm that uses Gaussian mixture models to obtain less biased estimates of the parameters of the ASD. We demonstrate that NetMix outperforms existing methods in identifying altered subnetworks on both simulated and real data, including the identification of differentially expressed genes from both microarray and RNA-seq experiments and the identification of cancer driver genes in somatic mutation data." @default.
• W3019107540 created "2020-05-01" @default.
• W3019107540 creator A5007866726 @default.
• W3019107540 creator A5025899028 @default.
• W3019107540 creator A5061580035 @default.
• W3019107540 creator A5090430288 @default.
• W3019107540 date "2020-01-01" @default.
• W3019107540 modified "2023-09-23" @default.
• W3019107540 title "NetMix: A Network-Structured Mixture Model for Reduced-Bias Estimation of Altered Subnetworks" @default.
• W3019107540 cites W1566831845 @default.
• W3019107540 cites W1630098887 @default.
• W3019107540 cites W1965055200 @default.
• W3019107540 cites W1972545868 @default.
• W3019107540 cites W1974944535 @default.
• W3019107540 cites W1991832623 @default.
• W3019107540 cites W1992062845 @default.
• W3019107540 cites W2002151188 @default.
• W3019107540 cites W2011356131 @default.
• W3019107540 cites W2018338889 @default.
• W3019107540 cites W2024728905 @default.
• W3019107540 cites W2027895157 @default.
• W3019107540 cites W2038122249 @default.
• W3019107540 cites W2040847667 @default.
• W3019107540 cites W2056782561 @default.
• W3019107540 cites W2072157164 @default.
• W3019107540 cites W2072211374 @default.
• W3019107540 cites W2073111188 @default.
• W3019107540 cites W2074490119 @default.
• W3019107540 cites W2081375228 @default.
• W3019107540 cites W2084191969 @default.
• W3019107540 cites W2088891952 @default.
• W3019107540 cites W2088951229 @default.
• W3019107540 cites W2090827859 @default.
• W3019107540 cites W2095319945 @default.
• W3019107540 cites W2099826569 @default.
• W3019107540 cites W2106870542 @default.
• W3019107540 cites W2107710781 @default.
• W3019107540 cites W2112811019 @default.
• W3019107540 cites W2117486996 @default.
• W3019107540 cites W2119608950 @default.
• W3019107540 cites W2125118217 @default.
• W3019107540 cites W2133667940 @default.
• W3019107540 cites W2140883620 @default.
• W3019107540 cites W2140954822 @default.
• W3019107540 cites W2141660903 @default.
• W3019107540 cites W2142216051 @default.
• W3019107540 cites W2144981148 @default.
• W3019107540 cites W2145290999 @default.
• W3019107540 cites W2146749911 @default.
• W3019107540 cites W2147193948 @default.
• W3019107540 cites W2158705060 @default.
• W3019107540 cites W2159675211 @default.
• W3019107540 cites W2164005910 @default.
• W3019107540 cites W2166043450 @default.
• W3019107540 cites W2166468869 @default.
• W3019107540 cites W2167222948 @default.
• W3019107540 cites W2171403830 @default.
• W3019107540 cites W2171662214 @default.
• W3019107540 cites W2211143780 @default.
• W3019107540 cites W2212304053 @default.
• W3019107540 cites W2320656788 @default.
• W3019107540 cites W2339214432 @default.
• W3019107540 cites W2345057418 @default.
• W3019107540 cites W2442835468 @default.
• W3019107540 cites W2560866543 @default.
• W3019107540 cites W2583580135 @default.
• W3019107540 cites W2592741837 @default.
• W3019107540 cites W2624021832 @default.
• W3019107540 cites W2737623232 @default.
• W3019107540 cites W2753953057 @default.
• W3019107540 cites W2757523215 @default.
• W3019107540 cites W2772435237 @default.
• W3019107540 cites W2794479004 @default.
• W3019107540 cites W2809014566 @default.
• W3019107540 cites W2949302945 @default.
• W3019107540 cites W2956555457 @default.
• W3019107540 cites W2962861084 @default.
• W3019107540 cites W2964231654 @default.
• W3019107540 cites W3099495886 @default.
• W3019107540 cites W3199143553 @default.
• W3019107540 cites W4230962320 @default.
• W3019107540 cites W4255690077 @default.
• W3019107540 cites W953912505 @default.
• W3019107540 doi "https://doi.org/10.1007/978-3-030-45257-5_11" @default.
• W3019107540 hasPublicationYear "2020" @default.
• W3019107540 type Work @default.
• W3019107540 sameAs 3019107540 @default.
• W3019107540 citedByCount "0" @default.
• W3019107540 crossrefType "book-chapter" @default.
• W3019107540 hasAuthorship W3019107540A5007866726 @default.
• W3019107540 hasAuthorship W3019107540A5025899028 @default.
• W3019107540 hasAuthorship W3019107540A5061580035 @default.
• W3019107540 hasAuthorship W3019107540A5090430288 @default.
• W3019107540 hasBestOaLocation W30191075402 @default.
• W3019107540 hasConcept C105795698 @default.
• W3019107540 hasConcept C11413529 @default.
• W3019107540 hasConcept C116834253 @default.
• W3019107540 hasConcept C121332964 @default.
• W3019107540 hasConcept C154945302 @default.
• W3019107540 hasConcept C163716315 @default.

• next