DeconRNASeq: a statistical framework for deconvolution of heterogeneous tissue samples based on mRNA-Seq data T Gong, JD Szustakowski Bioinformatics 29 (8), 1083-1085, 2013 | 310 | 2013 |
Optimal deconvolution of transcriptional profiling data using quadratic programming with application to complex clinical blood samples T Gong, N Hartmann, IS Kohane, V Brinkmann, F Staedtler, M Letzkus, ... PloS one 6 (11), e27156, 2011 | 186 | 2011 |
A Molecular Portrait of High-Grade Ductal Carcinoma In Situ AASCMA Martin C. Abba, Ting Gong, Yue Lu, Jaeho Lee, Yi Zhong, Ezequiel ... Cancer Research, 2015 | 165 | 2015 |
A comparison of loss weighting strategies for multi task learning in deep neural networks T Gong, T Lee, C Stephenson, V Renduchintala, S Padhy, A Ndirango, ... IEEE Access 7, 141627-141632, 2019 | 145 | 2019 |
ERRγ mediates tamoxifen resistance in novel models of invasive lobular breast cancer RB Riggins, JPJ Lan, U Klimach, A Zwart, LR Cavalli, BR Haddad, L Chen, ... Cancer research 68 (21), 8908-8917, 2008 | 138 | 2008 |
Telomere dysfunction drives aberrant hematopoietic differentiation and myelodysplastic syndrome S Colla, DST Ong, Y Ogoti, M Marchesini, NA Mistry, K Clise-Dwyer, ... Cancer cell 27 (5), 644-657, 2015 | 118 | 2015 |
UNDO: a Bioconductor R package for unsupervised deconvolution of mixed gene expressions in tumor samples N Wang, T Gong, R Clarke, L Chen, IM Shih, Z Zhang, DA Levine, J Xuan, ... Bioinformatics 31 (1), 137-139, 2015 | 76 | 2015 |
Obesity-associated alterations in inflammation, epigenetics, and mammary tumor growth persist in formerly obese mice EL Rossi, RE De Angel, LW Bowers, SA Khatib, LA Smith, E Van Buren, ... Cancer Prevention Research 9 (5), 339-348, 2016 | 67 | 2016 |
Shifted and squeezed 8-bit floating point format for low-precision training of deep neural networks L Cambier, A Bhiwandiwalla, T Gong, M Nekuii, OH Elibol, H Tang arXiv preprint arXiv:2001.05674, 2020 | 58 | 2020 |
Gene module identification from microarray data using nonnegative independent component analysis T Gong, J Xuan, C Wang, H Li, E Hoffman, R Clarke, Y Wang Gene Regulation and Systems Biology 1, 117762500700100023, 2007 | 20 | 2007 |
Motif-guided sparse decomposition of gene expression data for regulatory module identification T Gong, J Xuan, L Chen, RB Riggins, H Li, EP Hoffman, R Clarke, Y Wang BMC bioinformatics 12, 1-16, 2011 | 13 | 2011 |
Germline DNMT3A mutation in familial acute myeloid leukaemia CD DiNardo, HC Beird, M Estecio, S Hardikar, K Takahashi, SA Bannon, ... Epigenetics 16 (5), 567-576, 2021 | 12 | 2021 |
LABEL-EFFICIENT AUDIO CLASSIFICATION THROUGH MULTITASK LEARNING AND SELF-SUPERVISION AN Tyler Lee, Ting Gong, Suchismita Padhy, Andrew Rouditchenko ICLR 2019 Workshop LLD, 2019 | 7* | 2019 |
Stability-Based Dimension Estimation of ICA with Application to Microarray Data Analysis. C Wang, J Xuan, T Gong, R Clarke, EP Hoffman, YJ Wang BIOCOMP, 132-138, 2007 | 7 | 2007 |
Methods and apparatus for low precision training of a machine learning model L Cambier, A Bhiwandiwalla, T Gong US Patent App. 16/832,830, 2020 | 5 | 2020 |
Latent variable and nICA modeling of pathway gene module composite T Gong, Y Zhu, J Xuan, H Li, R Clarke, EP Hoffman, Y Wang 2006 International Conference of the IEEE Engineering in Medicine and …, 2006 | 5 | 2006 |
A systems biology approach to identify affected regulatory and signaling circuits in protein interaction networks T Gong, J Xuan, RB Reggins, R Clarke 2009 International Joint Conference on Bioinformatics, Systems Biology and …, 2009 | 2 | 2009 |
Sparse decomposition of gene expression data to infer transcriptional modules guided by motif information T Gong, J Xuan, L Chen, RB Riggins, Y Wang, EP Hoffman, R Clarke Bioinformatics Research and Applications: Fourth International Symposium …, 2008 | 1 | 2008 |
Composite gene module discovery using non-negative independent component analysis T Gong, J Xuan, Y Zhu, H Li, R Clarke, EP Hoffman, Y Wang 2006 IEEE/NLM Life Science Systems and Applications Workshop, 1-2, 2006 | 1 | 2006 |
A comprehensive streamlined analysis of reduced representation bisulfite sequencing (RRBS) data MRE Ting Gong, Sara S. Gaddis, Yue Lu, Kimie Kondo, Hongbo Zhao, Jianjun ... Proceedings of the 7th International Conference on Bioinformatics and …, 2015 | | 2015 |