全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:... David S. Miller , Michael A. White , Mathukumalli Vidyasagar
来源:[J].BMC Genomics(IF 4.397), 2017, Vol.18 (3)Springer
摘要:Metastasis via pelvic and/or para-aortic lymph nodes is a major risk factor for endometrial cancer. Lymph-node resection ameliorates risk but is associated with significant co-morbidities. Incidence in patients with stage I disease is 4–22% but no mechanism exists to accurat...
作者:Mathukumalli Vidyasagar
来源:[J].Annual Reviews in Control(IF 1.289), 2017, Vol.43, pp.107-127Elsevier
摘要:Abstract(#br)Cancer is the second leading cause of death, next only to heart disease, in both developed as well as developing countries. A major source of difficulty in addressing cancer as a disease is its bewildering variety, in that no two manifestations of cancer are ali...
作者:Mathukumalli Vidyasagar , James A. Heinen
来源:[J].International Journal of Systems Science(IF 1.305), 1971, Vol.1 (3), pp.257-263Taylor & Francis
摘要:Simple, easy-to-apply estimates are obtained for the norms, both Euclidean and generalized, of the solutions of linear time-varying vector differential equations, and for the settling times in systems which are asymptotically stable. Both eigenvalue and Gerschgorin estimates are ...
作者:Mathukumalli Vidyasagar
来源:[J].European Journal of Control(IF 1.25), 2011, Vol.17 (5-6), pp.483-511Elsevier
摘要:Recent advances in experimental techniques have made it possible to generate an enormous amount of ‘raw’ biological data, with cancer biology being no exception. The main challenge faced by cancer biologists now is the generation of plausible hypotheses that can be evaluated...
作者:Mathukumalli Vidyasagar
来源:[J].Asian Journal of Control(IF 1.411), 2014, Vol.16 (1), pp.1-19Wiley
摘要:Abstract(#br)Large deviation theory is a branch of probability theory that is devoted to a study of the “rate” at which empirical estimates of various quantities converge to their true values. The object of study in this paper is the rate at which estimates of the doublet fr...
作者:Mathukumalli Vidyasagar
来源:[J].Annual Review of Pharmacology and Toxicology(IF 21.543), 2015, Vol.55, pp.15-34Annual Reviews
摘要:This article reviews several techniques from machine learning that can be used to study the problem of identifying a small number of features, from among tens of thousands of measured features, that can accurately predict a drug response. Prediction problems are divided into two ...
作者:Nitin Singh , Mathukumalli Vidyasagar
来源:[J].IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)(IF 1.616), 2016, Vol.13 (2), pp.301-314ACM
摘要:Inferring gene regulatory networks (GRNs) from high-throughput gene-expression data is an important and challenging problem in systems biology. Several existing algorithms formulate GRN inference as a regression problem. The available regression based algorithms are based on the ...
作者:Niharika Challapalli , Masaaki Nagahara , Mathukumalli Vidyasagar
来源:[J].IFAC PapersOnLine, 2017, Vol.50 (1), pp.14454-14459Elsevier
摘要:Abstract(#br)In this paper, we consider hands-off control via minimization of the CLOT (Combined L -One and Two) norm. The maximum hands-off control is the L 0 -optimal (or the sparsest) control among all feasible controls that are bounded by a specified value and transfer t...
作者:Mathukumalli Vidyasagar , Michael A. White
来源:[J].Genomics & Informatics, 2013, Vol.11 (1), pp.55-57DOAJ
摘要:Growing numbers of studies employ cell line-based systematic short interfering RNA (siRNA) screens to study gene functions and to identify drug targets. As multiple sources of variations that are unique to siRNA screens exist, there is a growing demand for a computational tool th...

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