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Items: 1 to 20 of 42

1.

Actigraphy features for predicting mobility disability in older adults.

Kheirkhahan M, Tudor-Locke C, Axtell R, Buman MP, Fielding RA, Glynn NW, Guralnik JM, King AC, White DK, Miller ME, Siddique J, Brubaker P, Rejeski WJ, Ranshous S, Pahor M, Ranka S, Manini TM.

Physiol Meas. 2016 Sep 21;37(10):1813-1833. [Epub ahead of print]

PMID:
27653966
2.

Successful aging: Advancing the science of physical independence in older adults.

Anton SD, Woods AJ, Ashizawa T, Barb D, Buford TW, Carter CS, Clark DJ, Cohen RA, Corbett DB, Cruz-Almeida Y, Dotson V, Ebner N, Efron PA, Fillingim RB, Foster TC, Gundermann DM, Joseph AM, Karabetian C, Leeuwenburgh C, Manini TM, Marsiske M, Mankowski RT, Mutchie HL, Perri MG, Ranka S, Rashidi P, Sandesara B, Scarpace PJ, Sibille KT, Solberg LM, Someya S, Uphold C, Wohlgemuth S, Wu SS, Pahor M.

Ageing Res Rev. 2015 Nov;24(Pt B):304-27. doi: 10.1016/j.arr.2015.09.005. Review.

3.

Use of published sickness absence guidelines by human resources professionals.

Ranka S, Parker G.

Occup Med (Lond). 2015 Mar;65(2):107-9. doi: 10.1093/occmed/kqu192.

PMID:
25567509
4.

Multicore and GPU algorithms for Nussinov RNA folding.

Li J, Ranka S, Sahni S.

BMC Bioinformatics. 2014;15 Suppl 8:S1. doi: 10.1186/1471-2105-15-S8-S1.

5.

Pairwise sequence alignment for very long sequences on GPUs.

Li J, Ranka S, Sahni S.

Int J Bioinform Res Appl. 2014;10(4-5):345-68. doi: 10.1504/IJBRA.2014.062989.

PMID:
24989857
6.

Multicore and GPU Algorithms for Nussinov RNA Folding.

Li J, Ranka S, Sahni S.

IEEE Int Conf Comput Adv Bio Med Sci. 2013. doi: 10.1109/ICCABS.2013.6629204.

7.

[Clinical recommendations for diagnosing, treatment and monitoring of patients with ovarian cancer -- Croatian Oncology Society and Croatian Society for Gynecology and Obstetrics as Croatian Medical Association units and Croatian Society of Gynecological Oncology].

Matković V, Haller H, Vrdoljak E, Corusić A, Jelavić TB, Strinić T, Karnjus-Begonja R, Barisic D, Tomić S, Kukura V, Ban M, Ranka SP, Matic M, Skalec SL, Topolovec Z, Mrcela M, Zekan J, Fröbe A, Hajredini A, Babic D, Mamula O, Brncić-Fischer A, Vojnović Z, Sundov D; Croatian Oncology Society.; Croatian Society for Gynecology and Obstetrics as Croatian Medical Association Units.; Croatian Society of Gynecological Oncology..

Lijec Vjesn. 2013 Sep-Nov;135(9-10):235-41. Croatian.

PMID:
24364199
8.

Metabolomic analysis reveals extended metabolic consequences of marginal vitamin B-6 deficiency in healthy human subjects.

Gregory JF 3rd, Park Y, Lamers Y, Bandyopadhyay N, Chi YY, Lee K, Kim S, da Silva V, Hove N, Ranka S, Kahveci T, Muller KE, Stevens RD, Newgard CB, Stacpoole PW, Jones DP.

PLoS One. 2013 Jun 11;8(6):e63544. doi: 10.1371/journal.pone.0063544.

9.

Stability analysis of phylogenetic trees.

Sheikh SI, Kahveci T, Ranka S, Gordon Burleigh J.

Bioinformatics. 2013 Jan 15;29(2):166-74. doi: 10.1093/bioinformatics/bts657.

PMID:
23162082
10.

CMRF: analyzing differential gene regulation in two group perturbation experiments.

Bandyopadhyay N, Somaiya M, Ranka S, Kahveci T.

BMC Genomics. 2012 Apr 12;13 Suppl 2:S2. doi: 10.1186/1471-2164-13-S2-S2.

11.

Pairwise Sequence Alignment for Very Long Sequences on GPUs.

Li J, Ranka S, Sahni S.

IEEE Int Conf Comput Adv Bio Med Sci. 2012. doi: 10.1109/ICCABS.2012.6182641.

12.

SSLPred: predicting synthetic sickness lethality.

Bandyopadhyay N, Ranka S, Kahveci T.

Pac Symp Biocomput. 2012:7-18.

13.

Manipulating the steady state of metabolic pathways.

Song B, Büyüktahtakin IE, Ranka S, Kahveci T.

IEEE/ACM Trans Comput Biol Bioinform. 2011 May-Jun;8(3):732-47. doi: 10.1109/TCBB.2010.41.

PMID:
20479507
14.

Inferring progression models for CGH data.

Liu J, Bandyopadhyay N, Ranka S, Baudis M, Kahveci T.

Bioinformatics. 2009 Sep 1;25(17):2208-15. doi: 10.1093/bioinformatics/btp365.

PMID:
19528087
15.

Double iterative optimisation for metabolic network-based drug target identification.

Song B, Sridhar P, Kahveci T, Ranka S.

Int J Data Min Bioinform. 2009;3(2):124-44.

PMID:
19517985
16.

Pathway-BasedFeature Selection Algorithm for Cancer Microarray Data.

Bandyopadhyay N, Kahveci T, Goodison S, Sun Y, Ranka S.

Adv Bioinformatics. 2009:532989. doi: 10.1155/2009/532989.

17.

Classification and feature selection algorithms for multi-class CGH data.

Liu J, Ranka S, Kahveci T.

Bioinformatics. 2008 Jul 1;24(13):i86-95. doi: 10.1093/bioinformatics/btn145.

18.

Mining metabolic networks for optimal drug targets.

Sridhar P, Song B, Kahveci T, Ranka S.

Pac Symp Biocomput. 2008:291-302.

19.

An iterative algorithm for metabolic network-based drug target identification.

Sridhar P, Kahveci T, Ranka S.

Pac Symp Biocomput. 2007:88-99.

20.

Generalized field-splitting algorithms for optimal IMRT delivery efficiency.

Kamath S, Sahni S, Li J, Ranka S, Palta J.

Phys Med Biol. 2007 Sep 21;52(18):5483-96.

PMID:
17804877
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