F
Frederic Waldman
Researcher at University of California
Publications - 7
Citations - 494
Frederic Waldman is an academic researcher from University of California. The author has contributed to research in topics: Comparative genomic hybridization & Genome. The author has an hindex of 6, co-authored 7 publications receiving 494 citations.
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Comparative genomic hybridization
TL;DR: In this paper, the authors used in situ hybridization to detect abnormal nucleic acid sequence copy numbers in one or more genomes wherein repetitive sequences that bind to multiple loci in a reference chromosome spread are either substantially removed and/or their hybridization signals suppressed.
Patent
Detection of chromosomal abnormalities associated with breast cancer
Daniel Pinkel,Joe W. Gray,Anne Kallioniemi,Ollie-Pekka Kallioniemi,Frederic Waldman,Masaru Sakamoto +5 more
TL;DR: In this paper, the authors used in situ hybridization to detect abnormal nucleic acid sequence copy numbers in one or more genomes wherein repetitive sequences that bind to multiple loci in a reference chromosome spread are either substantially removed and/or their hybridization signals suppressed.
Patent
Comparative genomic hyridization
Daniel Pinkel,Joe W. Gray,Anne Kallioniemi,Ollie-Pekka Kallioniemi,Frederic Waldman,Masaru Sakamoto +5 more
TL;DR: In this paper, the authors used in situ hybridization to detect abnormal nucleic macid sequence copy numbers in one or more genomes wherein repetitive sequences that bind to multiple loci in a reference chromosome spread are either substantially removed and/or their hybridization signals suppressed.
Patent
Detection of nucleic acid sequence differences by comparative genomic hybridization
Donna G. Albertson,Daniel Pinkel,Jane Fridyland,Bing Huey,Antoine M. Snijders,Joe W. Gray,Anne Kallioniemi,Olli-Pekka Kallioniemi,Frederic Waldman +8 more
TL;DR: In this paper, a comparative genomic hybridization (CGH) technique was used to detect nucleotide sequence differences between two nucleic acid samples, i.e., sequence divergence of 1% or less.
Patent
Targets in breast cancer for prognosis or therapy
TL;DR: In this paper, the authors found that amplification levels of genes shown to be amplified are useful in prediction of patient outcome of a of patient's response and drug resistance in breast cancer and identified high priority therapeutic targets by the identification of recurrent aberrations involving genome sequence, copy number and gene expression.