Cancer Institute of New Jersey (CINJ), Division of Molecular Oncology

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Breast Neoplasms Medicine & Life Sciences
Neoplasms Medicine & Life Sciences
DNA Damage Medicine & Life Sciences
DNA Repair Medicine & Life Sciences
Breast Medicine & Life Sciences
Tumors Chemical Compounds
Triple Negative Breast Neoplasms Medicine & Life Sciences
X Chromosome Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2012 2018

DNA Repair
Neoplasms
Cell Line
Breast Neoplasms
Phenotype

Research Output 1990 2018

3 Citations

Detection of clonal hematopoiesis of indeterminate potential in clinical sequencing of solid tumor specimens

Severson, E. A., Riedlinger, G. M., Connelly, C. F., Vergilio, J. A., Goldfinger, M., Ramkissoon, S., Frampton, G. M., Ross, J. S., Fratella-Calabrese, A., Gay, L., Ali, S., Miller, V., Elvin, J., Hadigol, M., Hirshfield, K., Rodriguez-Rodriguez, L., Ganesan, S. & Khiabanian, H., May 31 2018, In : Blood. 131, 22, p. 2501-2505 5 p.

Rutgers, The State University

Research output: Contribution to journalLetter

1 Citations

Evidence of intertissue differences in the DNA damage response and the pro-oncogenic role of NF-kB in mice with disengaged BRCA1–PALB2 interaction

Mahdi, A. H., Huo, Y., Tan, Y., Simhadri, S., Vincelli, G., Gao, J., Ganesan, S. & Xia, B., Jul 15 2018, In : Cancer Research. 78, 14, p. 3969-3981 13 p.

Rutgers, The State University

Research output: Contribution to journalArticle

NF-kappa B
DNA Damage
Neoplasms
Apoptosis
Recombinational DNA Repair
2 Citations

High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection

Cruz-Roa, A., Gilmore, H., Basavanhally, A., Feldman, M., Ganesan, S., Shih, N., Tomaszewski, J., Madabhushi, A. & González, F., May 1 2018, In : PloS one. 13, 5, e0196828.

Rutgers, The State University

Research output: Contribution to journalArticle

histopathology
breast neoplasms
neural networks
Image analysis
Throughput