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Wencke Walter

Showing results (11-20 of 81) with videos related to

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Seminars in Cancer Biology|November 10, 2020
Next-generation diagnostics for precision oncology: Preanalytical considerations, technical challenges, and available technologiesWencke Walter, Nicole Pfarr, Manja Meggendorfer, et al.
Blood Advances|September 27, 2021
Mutational patterns and their correlation to CHIP-related mutations and age in hematological malignanciesAnna Stengel, Constance Baer, Wencke Walter, et al.
Cytometry. Part B, Clinical Cytometry|January 28, 2022
Identification of a specific immunophenotype associated with a consistent pattern of genetic mutations including SRFS2 and gene expression profile in MDSElisabeth Weiß, Wencke Walter, Manja Meggendorfer, et al.
Leukemia & Lymphoma|May 26, 2021
Comprehensive analysis of the genetic landscape of 21 cases with blastic plasmacytoid dendritic cell neoplasm by whole genome and whole transcriptome sequencingIsolde Summerer, Wencke Walter, Manja Meggendorfer, et al.
BMC Bioinformatics|October 26, 2014
Improving the accuracy of expression data analysis in time course experiments using resamplingWencke Walter, Bernd Striberny, Emmanuel Gaquerel, et al.
Leukemia & Lymphoma|July 20, 2021
The diverse landscape of fusion transcripts in 25 different hematological entitiesClaudia Haferlach, Wencke Walter, Anna Stengel, et al.
Oncogene|June 9, 2021
How artificial intelligence might disrupt diagnostics in hematology in the near futureWencke Walter, Claudia Haferlach, Niroshan Nadarajah, et al.
BMC Cancer|August 3, 2021
Clinical application of whole transcriptome sequencing for the classification of patients with acute lymphoblastic leukemiaWencke Walter, Rabia Shahswar, Anna Stengel, et al.
Blood Reviews|October 14, 2022
Artificial intelligence in hematological diagnostics: Game changer or gadget?Wencke Walter, Christian Pohlkamp, Manja Meggendorfer, et al.
Leukemia|March 24, 2018
IDH1R132, IDH2R140 and IDH2R172 in AML: different genetic landscapes correlate with outcome and may influence targeted treatment strategiesManja Meggendorfer, Luca Vincenzo Cappelli, Wencke Walter, et al.
Pageof 9

Showing results (11-20 of 81) with videos related to

Sort By:
Pageof 9
Seminars in Cancer Biology|November 10, 2020
Next-generation diagnostics for precision oncology: Preanalytical considerations, technical challenges, and available technologiesWencke Walter, Nicole Pfarr, Manja Meggendorfer, et al.
Blood Advances|September 27, 2021
Mutational patterns and their correlation to CHIP-related mutations and age in hematological malignanciesAnna Stengel, Constance Baer, Wencke Walter, et al.
Cytometry. Part B, Clinical Cytometry|January 28, 2022
Identification of a specific immunophenotype associated with a consistent pattern of genetic mutations including SRFS2 and gene expression profile in MDSElisabeth Weiß, Wencke Walter, Manja Meggendorfer, et al.
Leukemia & Lymphoma|May 26, 2021
Comprehensive analysis of the genetic landscape of 21 cases with blastic plasmacytoid dendritic cell neoplasm by whole genome and whole transcriptome sequencingIsolde Summerer, Wencke Walter, Manja Meggendorfer, et al.
BMC Bioinformatics|October 26, 2014
Improving the accuracy of expression data analysis in time course experiments using resamplingWencke Walter, Bernd Striberny, Emmanuel Gaquerel, et al.
Leukemia & Lymphoma|July 20, 2021
The diverse landscape of fusion transcripts in 25 different hematological entitiesClaudia Haferlach, Wencke Walter, Anna Stengel, et al.
Oncogene|June 9, 2021
How artificial intelligence might disrupt diagnostics in hematology in the near futureWencke Walter, Claudia Haferlach, Niroshan Nadarajah, et al.
BMC Cancer|August 3, 2021
Clinical application of whole transcriptome sequencing for the classification of patients with acute lymphoblastic leukemiaWencke Walter, Rabia Shahswar, Anna Stengel, et al.
Blood Reviews|October 14, 2022
Artificial intelligence in hematological diagnostics: Game changer or gadget?Wencke Walter, Christian Pohlkamp, Manja Meggendorfer, et al.
Leukemia|March 24, 2018
IDH1R132, IDH2R140 and IDH2R172 in AML: different genetic landscapes correlate with outcome and may influence targeted treatment strategiesManja Meggendorfer, Luca Vincenzo Cappelli, Wencke Walter, et al.
Pageof 9