@article{1441932,
      recid = {1441932},
      author = {Dey, Suhrit, and Dey, Charlie,},
      title = {Mathematical and computational studies on progress,  prognosis, prevention and panacea of breast cancer /},
      pages = {1 online resource :},
      abstract = {This books aim is to study the mathematical and  computational models to analyze the progress, prognosis,  prevention, and panacea of breast cancer. The book  discusses application of Markov chains and transient  mappings, CharlieSimpson numerical algorithm, models  represented by nonlinear reactiondiffusion-type partial  differential equations, and related techniques. The book  also attempts to design mathematical model of targeted  strategic treatments by using Skilled Killer Drugs (SKD1  and SKD2) to suggest the improvisation of future cancer  treatments. Both graduate students and researchers of  computational biology and oncologists will benefit by  studying this book. Researchers of cancer studies and  biological sciences will also find this work helpful.},
      url = {http://library.usi.edu/record/1441932},
      doi = {https://doi.org/10.1007/978-981-16-6077-1},
}