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Showing results (461-470 of 614) with videos related to

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Nature Medicine|June 1, 2001
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networksJ Khan, J S Wei, M Ringnér, et al.
Molecular Endocrinology (Baltimore, Md.)|June 10, 2000
Activating protein-1, nuclear factor-kappaB, and serum response factor as novel target molecules of the cancer-amplified transcription coactivator ASC-2S K Lee, S Y Na, S Y Jung, et al.
Scientific Reports|December 9, 2014
Mutations of epigenetic regulatory genes are common in thymic carcinomasYisong Wang, Anish Thomas, Christopher Lau, et al.
Cancer Research|November 21, 1998
Gene expression profiling of alveolar rhabdomyosarcoma with cDNA microarraysJ Khan, R Simon, M Bittner, et al.
Nature Methods|June 23, 2006
DNase-chip: a high-resolution method to identify DNase I hypersensitive sites using tiled microarraysGregory E Crawford, Sean Davis, Peter C Scacheri, et al.
Leukemia|August 30, 2002
Human AML cells in NOD/SCID mice: engraftment potential and gene expressionR Lumkul, N-C Gorin, M T Malehorn, et al.
Nature Genetics|November 19, 2013
High prevalence of MAP2K1 mutations in variant and IGHV4-34-expressing hairy-cell leukemiasJoshua J Waterfall, Evgeny Arons, Robert L Walker, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 20, 1995
Identification by representational difference analysis of a homozygous deletion in pancreatic carcinoma that lies within the BRCA2 regionM Schutte, L T da Costa, S A Hahn, et al.
Frontiers in Genetics|January 30, 2023
Genome-wide DNA methylation profiling in chronic lymphocytic leukaemiaQiuyi Zhang, Ying Gao, Shuchun Lin, et al.
Endocrinology|January 10, 2009
Kinetic complexity of the global response to glucocorticoid receptor actionSam John, Thomas A Johnson, Myong-Hee Sung, et al.
Pageof 62

Showing results (461-470 of 614) with videos related to

Sort By:
Pageof 62
Nature Medicine|June 1, 2001
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networksJ Khan, J S Wei, M Ringnér, et al.
Molecular Endocrinology (Baltimore, Md.)|June 10, 2000
Activating protein-1, nuclear factor-kappaB, and serum response factor as novel target molecules of the cancer-amplified transcription coactivator ASC-2S K Lee, S Y Na, S Y Jung, et al.
Scientific Reports|December 9, 2014
Mutations of epigenetic regulatory genes are common in thymic carcinomasYisong Wang, Anish Thomas, Christopher Lau, et al.
Cancer Research|November 21, 1998
Gene expression profiling of alveolar rhabdomyosarcoma with cDNA microarraysJ Khan, R Simon, M Bittner, et al.
Nature Methods|June 23, 2006
DNase-chip: a high-resolution method to identify DNase I hypersensitive sites using tiled microarraysGregory E Crawford, Sean Davis, Peter C Scacheri, et al.
Leukemia|August 30, 2002
Human AML cells in NOD/SCID mice: engraftment potential and gene expressionR Lumkul, N-C Gorin, M T Malehorn, et al.
Nature Genetics|November 19, 2013
High prevalence of MAP2K1 mutations in variant and IGHV4-34-expressing hairy-cell leukemiasJoshua J Waterfall, Evgeny Arons, Robert L Walker, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 20, 1995
Identification by representational difference analysis of a homozygous deletion in pancreatic carcinoma that lies within the BRCA2 regionM Schutte, L T da Costa, S A Hahn, et al.
Frontiers in Genetics|January 30, 2023
Genome-wide DNA methylation profiling in chronic lymphocytic leukaemiaQiuyi Zhang, Ying Gao, Shuchun Lin, et al.
Endocrinology|January 10, 2009
Kinetic complexity of the global response to glucocorticoid receptor actionSam John, Thomas A Johnson, Myong-Hee Sung, et al.
Pageof 62