Marc Berndl
Marc Berndl
google.com üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Molecular graph convolutions: moving beyond fingerprints
S Kearnes, K McCloskey, M Berndl, V Pande, P Riley
Journal of computer-aided molecular design 30 (8), 595-608, 2016
9452016
In silico labeling: predicting fluorescent labels in unlabeled images
EM Christiansen, SJ Yang, DM Ando, A Javaherian, G Skibinski, S Lipnick, ...
Cell 173 (3), 792-803. e19, 2018
3252018
Points-to analysis using BDDs
M Berndl, O Lhoták, F Qian, L Hendren, N Umanee
ACM SIGPLAN Notices 38 (5), 103-114, 2003
3102003
High-quality MS/MS spectrum prediction for data-dependent and data-independent acquisition data analysis
S Tiwary, R Levy, P Gutenbrunner, FS Soto, KK Palaniappan, L Deming, ...
Nature methods 16 (6), 519-525, 2019
1122019
Assessing microscope image focus quality with deep learning
SJ Yang, M Berndl, DM Ando, M Barch, A Narayanaswamy, ...
BMC bioinformatics 19 (1), 1-9, 2018
992018
Context threading: A flexible and efficient dispatch technique for virtual machine interpreters
M Berndl, B Vitale, M Zaleski, AD Brown
International Symposium on Code Generation and Optimization, 15-26, 2005
792005
Improving phenotypic measurements in high-content imaging screens
DM Ando, CY McLean, M Berndl
BioRxiv, 161422, 2017
35*2017
Dynamic profiling and trace cache generation
M Berndl, L Hendren
International Symposium on Code Generation and Optimization, 2003. CGO 2003 …, 2003
35*2003
Learning causal networks using inducible transcription factors and transcriptome‐wide time series
SR Hackett, EA Baltz, M Coram, BJ Wranik, G Kim, A Baker, M Fan, ...
Molecular systems biology 16 (3), e9174, 2020
25*2020
Selection and display of online advertisements
JT Wills, D Leslie-Cook, M Berndl, G Aggarwal, D Liu, HH Nash Jr, ...
US Patent 8,682,720, 2014
102014
Advertisement selection
K Gopalratnam, L Ertöz, M Sussman, M Berndl, D Liu, S Ramaswamy, ...
US Patent 8,423,405, 2013
102013
Machine learning guided aptamer refinement and discovery
A Bashir, Q Yang, J Wang, S Hoyer, W Chou, C McLean, G Davis, Q Gong, ...
Nature communications 12 (1), 1-11, 2021
82021
Mixed mode execution with context threading
M Zaleski, M Berndl, AD Brown
Proceedings of the 2005 conference of the Centre for Advanced Studies on …, 2005
82005
Applying deep neural network analysis to high-content image-based assays
SJ Yang, SL Lipnick, NR Makhortova, S Venugopalan, M Fan, ...
SLAS DISCOVERY: Advancing Life Sciences R&D 24 (8), 829-841, 2019
72019
Processing cell images using neural networks
PC Nelson, EM Christiansen, M Berndl, M Frumkin
US Patent App. 16/905,714, 2020
32020
Neural network for processing aptamer data
MTH Dimon, M Berndl, MA Coram, B Trippe, PF Riley, PC Nelson
US Patent 10,546,650, 2020
32020
It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets
S Venugopalan, A Narayanaswamy, S Yang, A Geraschenko, S Lipnick, ...
arXiv preprint arXiv:1912.07661, 2019
32019
Determining online advertisement statistics
D Liu, M Berndl, K Gopalratnam, A Najmi, DL Tang
US Patent 8,700,465, 2014
32014
Deep learning and automated Cell Painting reveal Parkinson's disease-specific signatures in primary patient fibroblasts
L Schiff, B Migliori, Y Chen, D Carter, C Bonilla, J Hall, M Fan, E Tam, ...
bioRxiv, 2020
22020
Neural network for processing graph data
PF Riley, M Berndl
US Patent 10,366,324, 2019
22019
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20