Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Neelima G Reddy"'
Autor:
Dipen M. Maru, Scott Kopetz, Jennifer S. Davis, Ignacio I. Wistuba, Riham Katkhuda, David Menter, Michael J. Overman, Van K. Morris, Mark J. Routbort, Omkara Veeranki, Alicia Mejia, Hector A. Alvarez, Bradley M. Broom, Manyam Ganiraju, Wei Wei, Baili Zhang, Zhimin Tong, Huiqin Chen, Justin Windham, Neelima G. Reddy, Wonyul Lee, Dzifa Y. Duose, Yusha Liu, Rajyalakshmi Luthra, Jeffrey S. Morris
Sample-wise and Gene-wise correlation of FF/FFPE paired Samples: Scatterplot of gene-specific Spearman correlation of FF/FFPE computed separately for CRCSC samples and non-CRCSC samples , with red and blue marking the overall top 100 and top 200 gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54fa7c44e6db111b422c801cc1fec0bc
https://doi.org/10.1158/1078-0432.22478934
https://doi.org/10.1158/1078-0432.22478934
Autor:
Dipen M. Maru, Scott Kopetz, Jennifer S. Davis, Ignacio I. Wistuba, Riham Katkhuda, David Menter, Michael J. Overman, Van K. Morris, Mark J. Routbort, Omkara Veeranki, Alicia Mejia, Hector A. Alvarez, Bradley M. Broom, Manyam Ganiraju, Wei Wei, Baili Zhang, Zhimin Tong, Huiqin Chen, Justin Windham, Neelima G. Reddy, Wonyul Lee, Dzifa Y. Duose, Yusha Liu, Rajyalakshmi Luthra, Jeffrey S. Morris
Heatmap showing fRMA level gene data from Affymetrix subsets in training and validation datasets.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05f15968b6c13a52a5647ae3ac5e8c46
https://doi.org/10.1158/1078-0432.22478946
https://doi.org/10.1158/1078-0432.22478946
Autor:
Dipen M. Maru, Scott Kopetz, Jennifer S. Davis, Ignacio I. Wistuba, Riham Katkhuda, David Menter, Michael J. Overman, Van K. Morris, Mark J. Routbort, Omkara Veeranki, Alicia Mejia, Hector A. Alvarez, Bradley M. Broom, Manyam Ganiraju, Wei Wei, Baili Zhang, Zhimin Tong, Huiqin Chen, Justin Windham, Neelima G. Reddy, Wonyul Lee, Dzifa Y. Duose, Yusha Liu, Rajyalakshmi Luthra, Jeffrey S. Morris
Supplementary methods and results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::418dc7703aeafd7282570d7ce49d56f6
https://doi.org/10.1158/1078-0432.22478952.v1
https://doi.org/10.1158/1078-0432.22478952.v1
Autor:
Dipen M. Maru, Scott Kopetz, Jennifer S. Davis, Ignacio I. Wistuba, Riham Katkhuda, David Menter, Michael J. Overman, Van K. Morris, Mark J. Routbort, Omkara Veeranki, Alicia Mejia, Hector A. Alvarez, Bradley M. Broom, Manyam Ganiraju, Wei Wei, Baili Zhang, Zhimin Tong, Huiqin Chen, Justin Windham, Neelima G. Reddy, Wonyul Lee, Dzifa Y. Duose, Yusha Liu, Rajyalakshmi Luthra, Jeffrey S. Morris
Validation of CMS assay at the research molecular diagnostic laboratory. Each sample classified in to CMS subtype 1-4 or mixed (M) subtype.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35fe301f340f8a6d435b570f344270d7
https://doi.org/10.1158/1078-0432.22478922
https://doi.org/10.1158/1078-0432.22478922
Autor:
Dipen M. Maru, Scott Kopetz, Jennifer S. Davis, Ignacio I. Wistuba, Riham Katkhuda, David Menter, Michael J. Overman, Van K. Morris, Mark J. Routbort, Omkara Veeranki, Alicia Mejia, Hector A. Alvarez, Bradley M. Broom, Manyam Ganiraju, Wei Wei, Baili Zhang, Zhimin Tong, Huiqin Chen, Justin Windham, Neelima G. Reddy, Wonyul Lee, Dzifa Y. Duose, Yusha Liu, Rajyalakshmi Luthra, Jeffrey S. Morris
3A. Classification accuracy of CMS1 samples on training data set V1 using 4-fold cross validation as function of number of genes.3B.able-3B: Classification accuracy of CMS1 samples on validation data set (V2) as function of number of genes.3C. Classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04fa3fbe559cfa8413846f7511bbec96
https://doi.org/10.1158/1078-0432.22478913.v1
https://doi.org/10.1158/1078-0432.22478913.v1
Autor:
Dipen M. Maru, Scott Kopetz, Jennifer S. Davis, Ignacio I. Wistuba, Riham Katkhuda, David Menter, Michael J. Overman, Van K. Morris, Mark J. Routbort, Omkara Veeranki, Alicia Mejia, Hector A. Alvarez, Bradley M. Broom, Manyam Ganiraju, Wei Wei, Baili Zhang, Zhimin Tong, Huiqin Chen, Justin Windham, Neelima G. Reddy, Wonyul Lee, Dzifa Y. Duose, Yusha Liu, Rajyalakshmi Luthra, Jeffrey S. Morris
Classification accuracy on validation data set, the entire set (V2), out-of-sample prediction (V2o), Affymetrix subset (V2a), and TCGA RNAseq subset (TCGA) for various methods as function of number of genes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::422bf7059f8a508e00a66a2f92a83603
https://doi.org/10.1158/1078-0432.22478901
https://doi.org/10.1158/1078-0432.22478901
Autor:
Dipen M. Maru, Scott Kopetz, Jennifer S. Davis, Ignacio I. Wistuba, Riham Katkhuda, David Menter, Michael J. Overman, Van K. Morris, Mark J. Routbort, Omkara Veeranki, Alicia Mejia, Hector A. Alvarez, Bradley M. Broom, Manyam Ganiraju, Wei Wei, Baili Zhang, Zhimin Tong, Huiqin Chen, Justin Windham, Neelima G. Reddy, Wonyul Lee, Dzifa Y. Duose, Yusha Liu, Rajyalakshmi Luthra, Jeffrey S. Morris
Purpose:Consensus molecular subtyping (CMS) of colorectal cancer has potential to reshape the colorectal cancer landscape. We developed and validated an assay that is applicable on formalin-fixed, paraffin-embedded (FFPE) samples of colorectal cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d66aeddd7734224aede69c08832f621
https://doi.org/10.1158/1078-0432.c.6530082
https://doi.org/10.1158/1078-0432.c.6530082
Autor:
Dipen M. Maru, Scott Kopetz, Jennifer S. Davis, Ignacio I. Wistuba, Riham Katkhuda, David Menter, Michael J. Overman, Van K. Morris, Mark J. Routbort, Omkara Veeranki, Alicia Mejia, Hector A. Alvarez, Bradley M. Broom, Manyam Ganiraju, Wei Wei, Baili Zhang, Zhimin Tong, Huiqin Chen, Justin Windham, Neelima G. Reddy, Wonyul Lee, Dzifa Y. Duose, Yusha Liu, Rajyalakshmi Luthra, Jeffrey S. Morris
Nanostring CMS Classifier Performance: Performance of Nanostring 100 gene CMS classifier applied to FFPE samples (6A and 6C) and FF samples (6B and 63D). The top two figures plot 4-class accuracy vs. classification confidence, with the dots marking i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96105a6fd56d981933ac457af81ea199
https://doi.org/10.1158/1078-0432.22478931
https://doi.org/10.1158/1078-0432.22478931
Autor:
Dipen M. Maru, Scott Kopetz, Jennifer S. Davis, Ignacio I. Wistuba, Riham Katkhuda, David Menter, Michael J. Overman, Van K. Morris, Mark J. Routbort, Omkara Veeranki, Alicia Mejia, Hector A. Alvarez, Bradley M. Broom, Manyam Ganiraju, Wei Wei, Baili Zhang, Zhimin Tong, Huiqin Chen, Justin Windham, Neelima G. Reddy, Wonyul Lee, Dzifa Y. Duose, Yusha Liu, Rajyalakshmi Luthra, Jeffrey S. Morris
Classification accuracy of different modelling strategies on training data set (V1) using 4-fold cross validation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41871a26db12f79721fad3894bf55a7e
https://doi.org/10.1158/1078-0432.22478916
https://doi.org/10.1158/1078-0432.22478916
Autor:
Dipen M. Maru, Scott Kopetz, Jennifer S. Davis, Ignacio I. Wistuba, Riham Katkhuda, David Menter, Michael J. Overman, Van K. Morris, Mark J. Routbort, Omkara Veeranki, Alicia Mejia, Hector A. Alvarez, Bradley M. Broom, Manyam Ganiraju, Wei Wei, Baili Zhang, Zhimin Tong, Huiqin Chen, Justin Windham, Neelima G. Reddy, Wonyul Lee, Dzifa Y. Duose, Yusha Liu, Rajyalakshmi Luthra, Jeffrey S. Morris
Comparison of Classifiers. Comparison of random forest (RF) and single sample predictors (SSP) in Guinney et al. (2015) paper with our wSVM classifier with 472 genes, either forcing a single CMS call for each sample (all calls) or only when classifie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9352ca21c8ef37558a4f57d75361e11d
https://doi.org/10.1158/1078-0432.22478898.v1
https://doi.org/10.1158/1078-0432.22478898.v1