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  • Currently displaying 181 - 200 of 559 publications
Author(s)
Publication title
Journal Name
Publication year
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, J Kang, M Jeon, R Wolfinger, T Nguyen, M Zaslavskiy, AstraZeneca-Sanger Drug Combination DREAM Consortium, IS Jang, Z Ghazoui, ME Ahsen, R Vogel, EC Neto, T Norman, EKY Tang, MJ Garnett, GYD Veroli, S Fawell, G Stolovitzky, J Guinney, JR Dry, J Saez-Rodriguez
Nature communications
(2019)
10
Leveraging heterogeneous data from GHS toxicity annotations, molecular and protein target descriptors and Tox21 assay readouts to predict and rationalise acute toxicity
CHG Allen, LH Mervin, SY Mahmoud, A Bender
J Cheminform
(2019)
11
Setting of a precision farming robotic laboratory for cropping system sustainability and food safety and security: Preliminary results
R Orsini, D Basili, M Belletti, D Bentivoglio, CA Bozzi, S Chiappini, C Conti, A Galli, E Giorgini, M Fiorentini, ES Malinverni, A Mancini, L Mazzanti, E Monaci, G Passerini, C Pro, R Santilocchi, A Vignini, S Zenobi, P Zingaretti
1ST WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY (METROAGRIFOR)
(2019)
275
A de novo transcriptome assembly approach elucidates the dynamics of ovarian maturation in the swordfish (Xiphias gladius)
G Gioacchini, L Marisaldi, D Basili, M Candelma, P Pignalosa, R Aiese Cigliano, W Sanseverino, G Hardiman, O Carnevali
Scientific reports
(2019)
9
A decision-theoretic approach to the evaluation of machine learning algorithms in computational drug discovery.
OP Watson, I Cortes-Ciriano, AR Taylor, JA Watson
Bioinformatics
(2019)
35
Insights into mechanisms and severity of drug-induced liver injury via computational systems toxicology approach.
Y Peng, Z Wu, H Yang, Y Cai, G Liu, W Li, Y Tang
Toxicol Lett
(2019)
312
SYSTEMS GENOMICS OF ULCERATIVE COLITIS: COMBINING GWAS, SIGNALLING AND TRANSCRIPTIONAL NETWORKS TO UNCOVER NOVEL PATHOGENIC PATHWAYS
J Brooks, D Modos, P Sudhakar, B Verstockt, B Alexander-Dann, A Zoufir, D Fazekas, M Tremelling, A Watson, S Carding, S Vermeire, A Bender, T Korcsmaros
GASTROENTEROLOGY
(2019)
156
Characterizing ABC-Transporter Substrate-Likeness Using a Clean-Slate Genetic Background
A Sokolov, S Ashenden, N Sahin, R Lewis, N Erdem, E Ozaltan, A Bender, FP Roth, M Cokol
Front Pharmacol
(2019)
10
Detecting the mutational signature of homologous recombination deficiency in clinical samples
DC Gulhan, JJ-K Lee, GEM Melloni, I Cortés-Ciriano, PJ Park
Nature Genetics
(2019)
51
Sulfated Ceria Catalyzed Synthesis of Imidazopyridines and Their Implementation as DNA Minor Groove Binders.
S Mohan, S Rangappa, NC Anilkumar, JE Fuchs, A Bender, Basappa, KS Rangappa, R Bhatnagar
Chemistry and Biodiversity
(2019)
16
Multitask Modeling with Confidence Using Matrix Factorization and Conformal Prediction.
U Norinder, F Svensson
J Chem Inf Model
(2019)
59
Linked-read analysis identifies mutations in single-cell DNA-sequencing data
CL Bohrson, AR Barton, MA Lodato, RE Rodin, LJ Luquette, VV Viswanadham, DC Gulhan, I Cortés-Ciriano, MA Sherman, M Kwon, ME Coulter, A Galor, CA Walsh, PJ Park
Nature Genetics
(2019)
51
Synthesis of C-C, C-N coupled novel substituted dibutyl benzothiazepinone derivatives and evaluation of their thrombin inhibitory activity
CP Baburajeev, CD Mohan, V Pandey, S Rangappa, N Shivalingegowda, L Kalash, S Devaraja, A Bender, PE Lobie, KS Rangappa, Basappa
Bioorg Chem
(2019)
87
In Silico Prediction of Endocrine Disrupting Chemicals Using Single-Label and Multilabel Models.
L Sun, H Yang, Y Cai, W Li, G Liu, Y Tang
Journal of chemical information and modeling
(2019)
59
Insights into pesticide toxicity against aquatic organism: QSTR models on Daphnia Magna
L He, K Xiao, C Zhou, G Li, H Yang, Z Li, J Cheng
Ecotoxicology and environmental safety
(2019)
173
Prediction of UGT-mediated Metabolism Using the Manually Curated MetaQSAR Database
A Mazzolari, AM Afzal, A Pedretti, B Testa, G Vistoli, A Bender
ACS medicinal chemistry letters
(2019)
10
From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL
A Liu, P Trairatphisan, E Gjerga, A Didangelos, J Barratt, J Saez-Rodriguez
(2019)
Correction to: Concordance analysis of microarray studies identifies representative gene expression changes in Parkinson’s disease: a comparison of 33 human and animal studies
E Oerton, A Bender
BMC neurology
(2019)
19
In silico prediction of chemical reproductive toxicity using machine learning.
C Jiang, H Yang, P Di, W Li, Y Tang, G Liu
J Appl Toxicol
(2019)
39
In silico prediction of chemical aquatic toxicity for marine crustaceans via machine learning
L Liu, H Yang, Y Cai, Q Cao, L Sun, Z Wang, W Li, G Liu, PW Lee, Y Tang
Toxicology Research
(2019)
8