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pro vyhledávání: '"Venkata Dasari"'
Publikováno v:
International Journal of Intelligent Engineering and Systems. 11:171-180
Autor:
Miller, Jason, Raghu Metpally, Person, Thomas, Sarathbabu Krishnamurthy, Venkata Dasari, Shivakumar, Manu, Lavage, Daniel, Cook, Adam, Carey, David, Ritchie, Marylyn, Dokyoon Kim, Gogoi, Radhika
Figure S3. Non-synonymous variants among OHRM and NCC cohorts. (A) For each gene with two variants in both cohorts, the ratio of non-synonymous variants across the EMCA cohort was divided by those in the NCC after adjusting for differences in cohort
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39e8e44d2bdcabb61d5ad4b1649e566c
Autor:
Miller, Jason, Raghu Metpally, Person, Thomas, Sarathbabu Krishnamurthy, Venkata Dasari, Shivakumar, Manu, Lavage, Daniel, Cook, Adam, Carey, David, Ritchie, Marylyn, Dokyoon Kim, Gogoi, Radhika
Figure S2. Variants in Lynch Syndrome Participants. The main figure is a heatmap of columns for each of the 6 participants who have been previously diagnosed with Lynch syndrome. The rows represent the genes in which these variants reside in and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::312d8d99d9714afd713f8d65e860d389
Autor:
Miller, Jason, Raghu Metpally, Person, Thomas, Sarathbabu Krishnamurthy, Venkata Dasari, Shivakumar, Manu, Lavage, Daniel, Cook, Adam, Carey, David, Ritchie, Marylyn, Dokyoon Kim, Gogoi, Radhika
Table S1. DiscovEHR and TCGA participant demographic information. Table S2. DiscovEHR and TCGA EMCA participant demographic information. Table S3. Distribution of stages between races and studies as a percentage*. Table S4. Distribution of grades acr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24341ea43f50a84c22efa974e02908ab
Autor:
Miller, Jason, Raghu Metpally, Person, Thomas, Sarathbabu Krishnamurthy, Venkata Dasari, Shivakumar, Manu, Lavage, Daniel, Cook, Adam, Carey, David, Ritchie, Marylyn, Dokyoon Kim, Gogoi, Radhika
Figure S4. pLoF variants among OHRM and NCC cohorts. For each gene with two variants in both cohorts, the ratio of non-synonymous variants across the OHRM cohort was divided by those in the NCC after adjusting for differences in cohort size. Orange,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b9c3ad2cae3dd50e3d1b4b5cb1585a3
Publikováno v:
Neurochemical Research; Jul2009, Vol. 34 Issue 7, p1183-1194, 12p
Publikováno v:
Neurochemical Research; Jan2008, Vol. 33 Issue 1, p134-149, 16p
Publikováno v:
Neurochemical Research; Dec2007, Vol. 32 Issue 12, p2080-2093, 14p
Autor:
Miller, Jason, Raghu Metpally, Person, Thomas, Sarathbabu Krishnamurthy, Venkata Dasari, Shivakumar, Manu, Lavage, Daniel, Cook, Adam, Carey, David, Ritchie, Marylyn, Dokyoon Kim, Gogoi, Radhika
Figure S1. Bioinformatics workflow for detecting pathogenic variants. Variants are first binned into the 635 genes from TARGET and CGC. They are then carried forward if they meet certain criteria from multiple variant annotation databases (e.g. Clinv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be0e169a009f03fba9f4b11136fcc56d
Autor:
Miller, Jason, Raghu Metpally, Person, Thomas, Sarathbabu Krishnamurthy, Venkata Dasari, Shivakumar, Manu, Lavage, Daniel, Cook, Adam, Carey, David, Ritchie, Marylyn, Dokyoon Kim, Gogoi, Radhika
Figure S1. Bioinformatics workflow for detecting pathogenic variants. Variants are first binned into the 635 genes from TARGET and CGC. They are then carried forward if they meet certain criteria from multiple variant annotation databases (e.g. Clinv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fadcf8e91dce553f9fc8a889bc5d1f5