ASPeak: an abundance sensitive peak detection algorithm for RIP-Seq

Por Kucukural, Alper, Özadam, Hakan, Singh, Guramrit, Moore, Melissa J., Cenik, Can
Publicado em 2013

Committed emissions from existing energy infrastructure jeopardize 1.5 °C climate target

Por Tong, Dan, Zhang, Qiang, Zheng, Yixuan, Caldeira, Ken, Shearer, Christine, Hong, Chaopeng, Qin, Yue, Davis, Steven J.
Publicado no Nature (2019)

IMA: an R package for high-throughput analysis of Illumina's 450K Infinium methylation data

Por Wang, Dan, Yan, Li, Hu, Qiang, Sucheston, Lara E., Higgins, Michael J., Ambrosone, Christine B., Johnson, Candace S., Smiraglia, Dominic J., Liu, Song
Publicado em 2012

136 Nutritive value of phytase- and multi-carbohydrase-supplemented carinata meal for growing pigs

Por Hong, Jinsu, Lee, Jung Wook, Pettersson, Dan, Woyengo, Tofuko A
Publicado no J Anim Sci (2019)

Survey of the Heritability and Sparse Architecture of Gene Expression Traits across Human Tissues

Por Wheeler, Heather E., Shah, Kaanan P., Brenner, Jonathon, Garcia, Tzintzuni, Aquino-Michaels, Keston, Cox, Nancy J., Nicolae, Dan L., Im, Hae Kyung
Publicado no PLoS Genet (2016)

Consensus-based recommendations for the management of juvenile dermatomyositis

Por Enders, Felicitas Bellutti, Bader-Meunier, Brigitte, Baildam, Eileen, Constantin, Tamas, Dolezalova, Pavla, Feldman, Brian M, Lahdenne, Pekka, Magnusson, Bo, Nistala, Kiran, Ozen, Seza, Pilkington, Clarissa, Ravelli, Angelo, Russo, Ricardo, Uziel, Yosef, van Brussel, Marco, van der Net, Janjaap, Vastert, Sebastiaan, Wedderburn, Lucy R, Wulffraat, Nicolaas, McCann, Liza J, van Royen-Kerkhof, Annet
Publicado no Ann Rheum Dis (2017)

Moving from information and collaboration to action: report from the 3rd International Dog Health Workshop, Paris in April 2017

Por Dan G. O’Neill, Sylvia F. A. Keijser, Åke Hedhammar, Caroline Kisko, Gregoire Leroy, Aimée Llewellyn-Zaidi, Sofia Malm, Patricia N. Olson, Rowena M. A. Packer, Jean Francois Rousselot, Ian J. Seath, Jason W. Stull, Brenda N. Bonnett
Publicado em 2017-12-01

Potential and functional prediction of six circular RNAs as diagnostic markers for colorectal cancer

Por Li yuan Liu, Dan Jiang, Yuliang Qu, Hongxia Wang, Yanting Zhang, Shaoqi Yang, Xiaoliang Xie, Shan Wu, Haijin Zhou, Guangxian Xu
Publicado em 2022-05-01

Improving the biophysical properties of anti-ricin single-domain antibodies

Por Kendrick B. Turner, Jinny L. Liu, Dan Zabetakis, Audrey Brozozog Lee, George P. Anderson, Ellen R. Goldman
Publicado em 2015-06-01

Helminth.net: expansions to Nematode.net and an introduction to Trematode.net

Por Martin, John, Rosa, Bruce A., Ozersky, Philip, Hallsworth-Pepin, Kymberlie, Zhang, Xu, Bhonagiri-Palsikar, Veena, Tyagi, Rahul, Wang, Qi, Choi, Young-Jun, Gao, Xin, McNulty, Samantha N., Brindley, Paul J., Mitreva, Makedonka
Publicado no Nucleic Acids Res (2014)

PSIV-11 Description of a novel Calorimetric unit to determine net energy in group housed pigs

Por Muñoz, Cristhiam J, Stein, Hans H
Publicado no J Anim Sci (2019)

netReg: network-regularized linear models for biological association studies

Por Dirmeier, Simon, Fuchs, Christiane, Mueller, Nikola S, Theis, Fabian J
Publicado no Bioinformatics (2018)

A Rooted Net of Life

Por Green Anna G, Swithers Kristen S, Lapierre Pascal, Fournier Gregory P, Williams David, Andam Cheryl P, Gogarten J Peter
Publicado em 2011-09-01

Metabolic Acidosis in Critically Ill Cirrhotic Patients with Acute Kidney Injury

Por Sun, Dan-Qin, Zhang, Lai, Zheng, Chen-Fei, Liu, Wen-Yue, Zheng, Kenneth I., Chen, Xiao-Ming, Zheng, Ming-Hua, Yuan, Wei-Jie
Publicado no J Clin Transl Hepatol (2019)

Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests

Por Vickers, Andrew J, Van Calster, Ben, Steyerberg, Ewout W
Publicado no BMJ (2016)

Collision energy dependence of moments of net-kaon multiplicity distributions at RHIC

Por L. Adamczyk, J.R. Adams, J.K. Adkins, G. Agakishiev, M.M. Aggarwal, Z. Ahammed, N.N. Ajitanand, I. Alekseev, D.M. Anderson, R. Aoyama, A. Aparin, D. Arkhipkin, E.C. Aschenauer, M.U. Ashraf, A. Attri, G.S. Averichev, X. Bai, V. Bairathi, K. Barish, A. Behera, R. Bellwied, A. Bhasin, A.K. Bhati, P. Bhattarai, J. Bielcik, J. Bielcikova, L.C. Bland, I.G. Bordyuzhin, J. Bouchet, J.D. Brandenburg, A.V. Brandin, D. Brown, I. Bunzarov, J. Butterworth, H. Caines, M. Calderón de la Barca Sánchez, J.M. Campbell, D. Cebra, I. Chakaberia, P. Chaloupka, Z. Chang, N. Chankova-Bunzarova, A. Chatterjee, S. Chattopadhyay, J.H. Chen, X. Chen, X. Chen, J. Cheng, M. Cherney, W. Christie, G. Contin, H.J. Crawford, S. Das, L.C. De Silva, R.R. Debbe, T.G. Dedovich, J. Deng, A.A. Derevschikov, L. Didenko, C. Dilks, X. Dong, J.L. Drachenberg, J.E. Draper, L.E. Dunkelberger, J.C. Dunlop, L.G. Efimov, N. Elsey, J. Engelage, G. Eppley, R. Esha, S. Esumi, O. Evdokimov, J. Ewigleben, O. Eyser, R. Fatemi, S. Fazio, P. Federic, P. Federicova, J. Fedorisin, Z. Feng, P. Filip, E. Finch, Y. Fisyak, C.E. Flores, J. Fujita, L. Fulek, C.A. Gagliardi, D. Garand, F. Geurts, A. Gibson, M. Girard, D. Grosnick, D.S. Gunarathne, Y. Guo, S. Gupta, A. Gupta, W. Guryn, A.I. Hamad, A. Hamed, A. Harlenderova, J.W. Harris, L. He, S. Heppelmann, S. Heppelmann, A. Hirsch, G.W. Hoffmann, S. Horvat, X. Huang, H.Z. Huang, T. Huang, B. Huang, T.J. Humanic, P. Huo, G. Igo, W.W. Jacobs, A. Jentsch, J. Jia, K. Jiang, S. Jowzaee, E.G. Judd, S. Kabana, D. Kalinkin, K. Kang, D. Kapukchyan, K. Kauder, H.W. Ke, D. Keane, A. Kechechyan, Z. Khan, D.P. Kikoła, C. Kim, I. Kisel, A. Kisiel, L. Kochenda, M. Kocmanek, T. Kollegger, L.K. Kosarzewski, A.F. Kraishan, L. Krauth, P. Kravtsov, K. Krueger, N. Kulathunga, L. Kumar, J. Kvapil, J.H. Kwasizur, R. Lacey, J.M. Landgraf, K.D. Landry, J. Lauret, A. Lebedev, R. Lednicky, J.H. Lee, C. Li, W. Li, Y. Li, X. Li, J. Lidrych, T. Lin, M.A. Lisa, P. Liu, F. Liu, H. Liu, Y. Liu, T. Ljubicic, W.J. Llope, M. Lomnitz, R.S. Longacre, X. Luo, S. Luo, G.L. Ma, L. Ma, Y.G. Ma, R. Ma, N. Magdy, R. Majka, D. Mallick, S. Margetis, C. Markert, H.S. Matis, K. Meehan, J.C. Mei, Z.W. Miller, N.G. Minaev, S. Mioduszewski, D. Mishra, S. Mizuno, B. Mohanty, M.M. Mondal, D.A. Morozov, M.K. Mustafa, Md. Nasim, T.K. Nayak, J.M. Nelson, M. Nie, G. Nigmatkulov, T. Niida, L.V. Nogach, T. Nonaka, S.B. Nurushev, G. Odyniec, A. Ogawa, K. Oh, V.A. Okorokov, D. Olvitt, Jr., B.S. Page, R. Pak, Y. Pandit, Y. Panebratsev, B. Pawlik, H. Pei, C. Perkins, P. Pile, J. Pluta, K. Poniatowska, J. Porter, M. Posik, N.K. Pruthi, M. Przybycien, J. Putschke, H. Qiu, A. Quintero, S. Ramachandran, R.L. Ray, R. Reed, M.J. Rehbein, H.G. Ritter, J.B. Roberts, O.V. Rogachevskiy, J.L. Romero, J.D. Roth, L. Ruan, J. Rusnak, O. Rusnakova, N.R. Sahoo, P.K. Sahu, S. Salur, J. Sandweiss, A. Sarkar, M. Saur, J. Schambach, A.M. Schmah, W.B. Schmidke, N. Schmitz, B.R. Schweid, J. Seger, M. Sergeeva, R. Seto, P. Seyboth, N. Shah, E. Shahaliev, P.V. Shanmuganathan, M. Shao, M.K. Sharma, A. Sharma, W.Q. Shen, Z. Shi, S.S. Shi, Q.Y. Shou, E.P. Sichtermann, R. Sikora, M. Simko, S. Singha, M.J. Skoby, D. Smirnov, N. Smirnov, W. Solyst, L. Song, P. Sorensen, H.M. Spinka, B. Srivastava, T.D.S. Stanislaus, M. Strikhanov, B. Stringfellow, T. Sugiura, M. Sumbera, B. Summa, X.M. Sun, Y. Sun, X. Sun, B. Surrow, D.N. Svirida, A.H. Tang, Z. Tang, A. Taranenko, T. Tarnowsky, A. Tawfik, J. Thäder, J.H. Thomas, A.R. Timmins, D. Tlusty, T. Todoroki, M. Tokarev, S. Trentalange, R.E. Tribble, P. Tribedy, S.K. Tripathy, B.A. Trzeciak, O.D. Tsai, T. Ullrich, D.G. Underwood, I. Upsal, G. Van Buren, G. van Nieuwenhuizen, A.N. Vasiliev, F. Videbæk, S. Vokal, S.A. Voloshin, A. Vossen, F. Wang, Y. Wang, G. Wang, Y. Wang, J.C. Webb, G. Webb, L. Wen, G.D. Westfall, H. Wieman, S.W. Wissink, R. Witt, Y. Wu, Z.G. Xiao, G. Xie, W. Xie, Z. Xu, N. Xu, Y.F. Xu, Q.H. Xu, J. Xu, Q. Yang, C. Yang, S. Yang, Y. Yang, Z. Ye, Z. Ye, L. Yi, K. Yip, I.-K. Yoo, N. Yu, H. Zbroszczyk, W. Zha, X.P. Zhang, S. Zhang, J.B. Zhang, J. Zhang, Z. Zhang, S. Zhang, J. Zhang, Y. Zhang, J. Zhao, C. Zhong, L. Zhou, C. Zhou, Z. Zhu, X. Zhu, M. Zyzak
Publicado em 2018-10-01

An elastic-net logistic regression approach to generate classifiers and gene signatures for types of immune cells and T helper cell subsets

Por Torang, Arezo, Gupta, Paraag, Klinke, David J.
Publicado no BMC Bioinformatics (2019)

CGBayesNets: conditional Gaussian Bayesian network learning and inference with mixed discrete and continuous data.

Por Michael J McGeachie, Hsun-Hsien Chang, Scott T Weiss
Publicado em 2014-06-01

CGBayesNets: Conditional Gaussian Bayesian Network Learning and Inference with Mixed Discrete and Continuous Data

Por McGeachie, Michael J., Chang, Hsun-Hsien, Weiss, Scott T.
Publicado em 2014

Epidemiology and clinical features of vivax malaria imported to Europe: Sentinel surveillance data from TropNetEurop

Por Malvy DJM, Kotlowski A, Iversen J, Knobloch J, Kapaun A, Kollaritsch H, Hatz C, Holthoff-Stich ML, Laferl H, Myrvang B, Schmid ML, Puente S, Hellgren U, Bisoffi Z, Lopez-Velez R, Matteelli A, McWhinney P, Björkman A, Clerinx J, Behrens RH, Gjørup I, Beran J, Schunk M, Zoller T, Probst M, Gascon J, Jelinek T, Mühlberger N, Kern P, Fry G, Siikamaki H, Schulze MH, Soula G, Paul M, Prat J Gómez i, Lehmann V, Bouchaud O, Cunha S da, Atouguia J, Boecken G
Publicado em 2004-03-01