Global gene expression profiling of multiple myeloma, monoclonal gammopathy of undetermined significance, and normal bone marrow plasma cells.

By F. Zhan, Johanna Hardin, B. Kordsmeier, K. Bumm, Mingzhong Zheng, E. Tian, R. Sanderson, Yang Yang, C. Wilson, M. Zangari and 9 more. Blood, 2002

679 citations recorded by the source corpus.

Subfields: Genetics, Hematology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/f71a814dc9eed90035d040708715b3b96abe202d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Habibollah Haron
2. Haza Nuzly Abdull Hamed
3. Andri Mirzal
4. Donna K. Slonim
5. Jun Chin Ang

In Molecular Biology

1. W. Kuehl
2. Habibollah Haron
3. Haza Nuzly Abdull Hamed
4. Andri Mirzal
5. Wenming Xiao
6. Donna K. Slonim
7. Louis Staudt
8. Jun Chin Ang

Citations in the corpus

• Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection (2016, methodology): “data algorithm (ISODATA) & Multiple myeloma [101]; Linear SVM; KNN”
• From patterns to pathways: gene expression data analysis comes of age (2002, methodology): “The use of non-parametric rank-based statistics is also common, via both traditional statistical method”
• Frequent engagement of the classical and alternative NF-kappaB pathways by diverse genetic abnormalities in multiple myeloma. (2007, methodology): “A similar method identified MM cases with FGFR3 and Cyclin D1 translocations (Zhan et al., 2002).”