Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386243540> ?p ?o ?g. }
- W4386243540 abstract "Abstract Comprehensive analysis of single-cell RNA sequencing (scRNA-seq) data can enhance our understanding of cellular diversity and aid in the development of personalized therapies for individuals. The abundance of missing values, known as dropouts, makes the analysis of scRNA-seq data a challenging task. Most traditional methods made assumptions about specific distributions for missing values, which limit their capability to capture the intricacy of high-dimensional scRNA-seq data. Moreover, the imputation performance of traditional methods decreases with higher missing rates. We propose a novel f -divergence based generative adversarial imputation method, called sc- f GAIN, for the scRNA-seq data imputation. Our studies identify four f -divergence functions, namely cross-entropy, Kullback-Leibler (KL), reverse KL, and Jensen-Shannon, that can be effectively integrated with the generative adversarial imputation network to generate imputed values without any assumptions, and mathematically prove that the distribution of imputed data using sc- f GAIN algorithm is same as the distribution of original data. Real scRNA-seq data analysis has shown that, compared to many traditional methods, the imputed values generated by sc- f GAIN algorithm have a smaller root-mean-square error, and it is robust to varying missing rates, moreover, it can reduce imputation bias. The flexibility offered by the f -divergence allows the sc- f GAIN method to accommodate various types of data, making it a more universal approach for imputing missing values of scRNA-seq data." @default.
- W4386243540 created "2023-08-30" @default.
- W4386243540 creator A5017399237 @default.
- W4386243540 creator A5022495891 @default.
- W4386243540 creator A5030155062 @default.
- W4386243540 creator A5032809831 @default.
- W4386243540 creator A5092814264 @default.
- W4386243540 date "2023-08-29" @default.
- W4386243540 modified "2023-09-27" @default.
- W4386243540 title "A novel f-divergence based generative adversarial imputation method for scRNA-seq data analysis" @default.
- W4386243540 cites W1984965484 @default.
- W4386243540 cites W2069295116 @default.
- W4386243540 cites W2107680358 @default.
- W4386243540 cites W2108579152 @default.
- W4386243540 cites W2116290764 @default.
- W4386243540 cites W2149579404 @default.
- W4386243540 cites W2602582876 @default.
- W4386243540 cites W2605810679 @default.
- W4386243540 cites W2740711073 @default.
- W4386243540 cites W2746296828 @default.
- W4386243540 cites W2765284830 @default.
- W4386243540 cites W2774761491 @default.
- W4386243540 cites W2793442901 @default.
- W4386243540 cites W2883771740 @default.
- W4386243540 cites W2901481287 @default.
- W4386243540 cites W2941407807 @default.
- W4386243540 cites W2946016273 @default.
- W4386243540 cites W2947877009 @default.
- W4386243540 cites W2949771015 @default.
- W4386243540 cites W2950993016 @default.
- W4386243540 cites W2951217100 @default.
- W4386243540 cites W2951506174 @default.
- W4386243540 cites W2969088549 @default.
- W4386243540 cites W2980147288 @default.
- W4386243540 cites W3007172120 @default.
- W4386243540 cites W3096831136 @default.
- W4386243540 cites W3134111171 @default.
- W4386243540 cites W3138479716 @default.
- W4386243540 cites W3183875135 @default.
- W4386243540 cites W3185122848 @default.
- W4386243540 cites W4281628971 @default.
- W4386243540 cites W4294541506 @default.
- W4386243540 doi "https://doi.org/10.1101/2023.08.28.555223" @default.
- W4386243540 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37693609" @default.
- W4386243540 hasPublicationYear "2023" @default.
- W4386243540 type Work @default.
- W4386243540 citedByCount "0" @default.
- W4386243540 crossrefType "posted-content" @default.
- W4386243540 hasAuthorship W4386243540A5017399237 @default.
- W4386243540 hasAuthorship W4386243540A5022495891 @default.
- W4386243540 hasAuthorship W4386243540A5030155062 @default.
- W4386243540 hasAuthorship W4386243540A5032809831 @default.
- W4386243540 hasAuthorship W4386243540A5092814264 @default.
- W4386243540 hasBestOaLocation W43862435401 @default.
- W4386243540 hasConcept C105795698 @default.
- W4386243540 hasConcept C106301342 @default.
- W4386243540 hasConcept C119857082 @default.
- W4386243540 hasConcept C121332964 @default.
- W4386243540 hasConcept C124101348 @default.
- W4386243540 hasConcept C138885662 @default.
- W4386243540 hasConcept C154945302 @default.
- W4386243540 hasConcept C171752962 @default.
- W4386243540 hasConcept C207390915 @default.
- W4386243540 hasConcept C33923547 @default.
- W4386243540 hasConcept C39890363 @default.
- W4386243540 hasConcept C41008148 @default.
- W4386243540 hasConcept C41895202 @default.
- W4386243540 hasConcept C58041806 @default.
- W4386243540 hasConcept C62520636 @default.
- W4386243540 hasConcept C9357733 @default.
- W4386243540 hasConceptScore W4386243540C105795698 @default.
- W4386243540 hasConceptScore W4386243540C106301342 @default.
- W4386243540 hasConceptScore W4386243540C119857082 @default.
- W4386243540 hasConceptScore W4386243540C121332964 @default.
- W4386243540 hasConceptScore W4386243540C124101348 @default.
- W4386243540 hasConceptScore W4386243540C138885662 @default.
- W4386243540 hasConceptScore W4386243540C154945302 @default.
- W4386243540 hasConceptScore W4386243540C171752962 @default.
- W4386243540 hasConceptScore W4386243540C207390915 @default.
- W4386243540 hasConceptScore W4386243540C33923547 @default.
- W4386243540 hasConceptScore W4386243540C39890363 @default.
- W4386243540 hasConceptScore W4386243540C41008148 @default.
- W4386243540 hasConceptScore W4386243540C41895202 @default.
- W4386243540 hasConceptScore W4386243540C58041806 @default.
- W4386243540 hasConceptScore W4386243540C62520636 @default.
- W4386243540 hasConceptScore W4386243540C9357733 @default.
- W4386243540 hasLocation W43862435401 @default.
- W4386243540 hasLocation W43862435402 @default.
- W4386243540 hasOpenAccess W4386243540 @default.
- W4386243540 hasPrimaryLocation W43862435401 @default.
- W4386243540 hasRelatedWork W1973721774 @default.
- W4386243540 hasRelatedWork W2541565311 @default.
- W4386243540 hasRelatedWork W2751555317 @default.
- W4386243540 hasRelatedWork W2784019465 @default.
- W4386243540 hasRelatedWork W2900766238 @default.
- W4386243540 hasRelatedWork W3021292873 @default.
- W4386243540 hasRelatedWork W3049453136 @default.
- W4386243540 hasRelatedWork W4280644562 @default.
- W4386243540 hasRelatedWork W569810835 @default.
- W4386243540 hasRelatedWork W4286892964 @default.