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  1. 1.   Gene expression signatures: A tool for analysis of breast cancer prognosis and therapy
  2. Latha, Neetha Rajan; Rajan, Arathi; Nadhan, Revathy; Achyutuni, Sarada; Sengodan,Satheesh; Hemalatha, Sreelatha Krishnakumar; Varghese, Geetu Rose; Thankappan, Ratheeshkumar; Krishnan, Neethu; Patra, Dipyaman; Warrier, Arathy; Srinivas, Priya
  3. Critical reviews in oncology/hematology. 2020, JUL; 151
  1. 2.   Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis
  2. Beer, Lucian; Sahin, Hilal; Bateman, Nicholas W; Blazic, Ivana; Vargas, Hebert Alberto; Veeraraghavan, Harini; Kirby,Justin; Fevrier-Sullivan,Brenda; Freymann,John; Jaffe, C Carl; Brenton, James; Miccó, Maura; Nougaret, Stephanie; Darcy, Kathleen M; Maxwell, G Larry; Conrads, Thomas P; Huang, Erich; Sala, Evis
  3. European radiology. 2020, Apr 06; pii: 10.1007/s00330-020-06755-3.
  1. 3.   Integrated proteotranscriptomics of breast cancer reveals globally increased protein-mRNA concordance associated with subtypes and survival
  2. Tang, Wei; Zhou, Ming; Dorsey, Tiffany H; Prieto, DaRue A; Wang, Xin W; Ruppin, Eytan; Veenstra, Timothy D; Ambs, Stefan
  3. Genome medicine. 2018, Dec 03; 10(1): 94.
  1. 4.   Transcriptomic profiling and quantitative high-throughput (qHTS) drug screening of CDH1 deficient hereditary diffuse gastric cancer (HDGC) cells identify treatment leads for familial gastric cancer.
  2. Chen, Ina; Mathews-Greiner, Lesley; Li, Dandan; Abisoye-Ogunniyan, Abisola; Ray, Satyajit; Bian, Yansong; Shukla, Vivek; Zhang, Xiaohu; Guha, Raj; Thomas, Craig; Gryder, Berkley; Zacharia, Athina; Beane, Joal D; Ravichandran, Sarangan; Ferrer, Marc; Rudloff, Udo
  3. Journal of translational medicine. 2017, May 01; 15(1): 92.
  1. 5.   Collection and preparation of rodent embryonic samples for transcriptome study
  2. Golubeva, Y.; Symer, D.
  3. Methods in molecular biology (Clifton, N.J.). 2014 1092: 297-356.
  1. 6.   Computational intelligence, bioinformatics and computational biology: A brief overview of methods, problems and perspectives
  2. Kasabov, N.; Sidorov, I. A.; Dimitrov, D. S.
  3. Journal of Computational and Theoretical Nanoscience. 2005, DEC; 2(4): 473-491.
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