-
1
-
-
84938888109
-
Predicting the sequence specificities of DNA-A nd RNA-binding proteins by deep learning
-
Alipanahi, B., et al. (2015) Predicting the sequence specificities of DNA-A nd RNA-binding proteins by deep learning. Nat. Biotechnol., 33, 831-838.
-
(2015)
Nat. Biotechnol.
, vol.33
, pp. 831-838
-
-
Alipanahi, B.1
-
2
-
-
0017911537
-
Synthesis and adrenergic activity of benzimidazole bioisosteres of norepinephrine and isoproterenol
-
Arnett, C. D., et al. (1978) Synthesis and adrenergic activity of benzimidazole bioisosteres of norepinephrine and isoproterenol. J. Med. Chem., 21, 72-78.
-
(1978)
J. Med. Chem.
, vol.21
, pp. 72-78
-
-
Arnett, C.D.1
-
3
-
-
34250882643
-
Quantitative morphological signatures define local signaling networks regulating cell morphology
-
Bakal, C., et al. (2007) Quantitative morphological signatures define local signaling networks regulating cell morphology. Science, 316, 1753-1756.
-
(2007)
Science
, vol.316
, pp. 1753-1756
-
-
Bakal, C.1
-
4
-
-
84878516709
-
Hydroxyurea exposure triggers tissue-specific activation of p38 mitogen-activated protein kinase signaling and the DNA damage response in organogenesis-stage mouse embryos
-
Banh, S., Hales, B. F. (2013) Hydroxyurea exposure triggers tissue-specific activation of p38 mitogen-activated protein kinase signaling and the DNA damage response in organogenesis-stage mouse embryos. Toxicol. Sci., 133, 208-298.
-
(2013)
Toxicol. Sci.
, vol.133
, pp. 208-298
-
-
Banh, S.1
Hales, B.F.2
-
5
-
-
41549148628
-
Toward a confocal subcellular atlas of the human proteome
-
Barbe, L., et al. (2008) Toward a confocal subcellular atlas of the human proteome. Mol. Cell. Proteomics, 7, 499-508.
-
(2008)
Mol. Cell. Proteomics
, vol.7
, pp. 499-508
-
-
Barbe, L.1
-
6
-
-
0036139314
-
A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells
-
Boland, M. V., Murphy, R. F. (2001) A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells. Bioinformatics, 17, 1213-1223.
-
(2001)
Bioinformatics
, vol.17
, pp. 1213-1223
-
-
Boland, M.V.1
Murphy, R.F.2
-
7
-
-
0032212323
-
Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy images
-
Boland, M. V., et al. (1998) Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy images. Cytometry, 33, 366-375.
-
(1998)
Cytometry
, vol.33
, pp. 366-375
-
-
Boland, M.V.1
-
8
-
-
84949495449
-
Microscopy-based high-content screening
-
Boutros, M., et al. (2015) Microscopy-based high-content screening. Cell, 163, 1314-1325.
-
(2015)
Cell
, vol.163
, pp. 1314-1325
-
-
Boutros, M.1
-
9
-
-
85021793123
-
Multiscale convolutional neural networks for visionbased classification of cells
-
Buyssens, P., et al. (2012) Multiscale convolutional neural networks for visionbased classification of cells. In Proc. Asian Conf. Comput. Vis, pages 342-352.
-
(2012)
Proc. Asian Conf. Comput. Vis
, pp. 342-352
-
-
Buyssens, P.1
-
10
-
-
77953445258
-
High-content phenotypic profiling of drug response signatures across distinct cancer cells
-
Caie, P. D., et al. (2010) High-content phenotypic profiling of drug response signatures across distinct cancer cells. Mol. Cancer. Ther., 9, 1913-1926.
-
(2010)
Mol. Cancer. Ther.
, vol.9
, pp. 1913-1926
-
-
Caie, P.D.1
-
11
-
-
33845792555
-
CellProfiler: Image analysis software for identifying and quantifying cell phenotypes
-
Carpenter, A. E., et al. (2006) CellProfiler: Image analysis software for identifying and quantifying cell phenotypes. Genome Biol., 7, R100.
-
(2006)
Genome Biol.
, vol.7
, pp. R100
-
-
Carpenter, A.E.1
-
12
-
-
34547650901
-
A multiresolution approach to automated classification of protein subcellular location images
-
Chebira, A., et al. (2007) A multiresolution approach to automated classification of protein subcellular location images. BMC Bioinformatics, 8, 210.
-
(2007)
BMC Bioinformatics
, vol.8
, pp. 210
-
-
Chebira, A.1
-
13
-
-
84976420628
-
Gene expression inference with deep learning
-
Chen, Y., et al. (2016) Gene expression inference with deep learning. Bioinformatics, 32, 1832-1839.
-
(2016)
Bioinformatics
, vol.32
, pp. 1832-1839
-
-
Chen, Y.1
-
14
-
-
84877789057
-
Deep neural networks segment neuronal membranes in electron microscopy images
-
Ciresan, D., et al. (2012a) Deep neural networks segment neuronal membranes in electron microscopy images. Proc. Advances in Neural Information Processing Systems, 25, 2843-2851.
-
(2012)
Proc. Advances in Neural Information Processing Systems
, vol.25
, pp. 2843-2851
-
-
Ciresan, D.1
-
16
-
-
84883467254
-
Determining the subcellular location of new proteins from microscope images using local features
-
Coelho, L. P., et al. (2013) Determining the subcellular location of new proteins from microscope images using local features. Bioinformatics, 29, 2343-2349.
-
(2013)
Bioinformatics
, vol.29
, pp. 2343-2349
-
-
Coelho, L.P.1
-
18
-
-
84876258641
-
Learning hierarchical features for scene labeling
-
Farabet, C., et al. (2013) Learning hierarchical features for scene labeling. IEEE Trans. Pattern Anal. Mach. Intell., 35, 1915-1929.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, pp. 1915-1929
-
-
Farabet, C.1
-
19
-
-
84940758213
-
Identification of alsterpaullone as a novel small molecule inhibitor to target group 3 medulloblastoma
-
Faria, C. C., et al. (2015) Identification of alsterpaullone as a novel small molecule inhibitor to target group 3 medulloblastoma. Oncotarget, 6, 21718-21729.
-
(2015)
Oncotarget
, vol.6
, pp. 21718-21729
-
-
Faria, C.C.1
-
20
-
-
84930324062
-
Cell-based screening: Extracting meaning from complex data
-
Finkbeiner, S., et al. (2015) Cell-based screening: Extracting meaning from complex data. Neuron, 86, 160-174.
-
(2015)
Neuron
, vol.86
, pp. 160-174
-
-
Finkbeiner, S.1
-
21
-
-
77953276042
-
Clustering phenotype populations by genome-wide RNAi and multiparametric imaging
-
Fuchs, F., et al. (2010) Clustering phenotype populations by genome-wide RNAi and multiparametric imaging. Mol. Syst. Biol., 6, 370.
-
(2010)
Mol. Syst. Biol.
, vol.6
, pp. 370
-
-
Fuchs, F.1
-
22
-
-
85015719821
-
HEp-2 cell image classification with deep convolutional neural networks
-
Gao, Z., et al. (2016) HEp-2 cell image classification with deep convolutional neural networks. IEEE J. Biomed. Heal. Informatics, DOI: 10. 1109/JBHI. 2016. 2526603.
-
(2016)
IEEE J. Biomed. Heal. Informatics
-
-
Gao, Z.1
-
23
-
-
77956230392
-
An imaging assay to analyze primary neurons for cellular neurotoxicity
-
Gö tte, M., et al. (2010) An imaging assay to analyze primary neurons for cellular neurotoxicity. J. Neurosci. Methods, 192, 7-16.
-
(2010)
J. Neurosci. Methods
, vol.192
, pp. 7-16
-
-
Götte, M.1
-
24
-
-
84959123422
-
Trajectories of cell-cycle progression from fixed cell populations
-
Gut, G., et al. (2015) Trajectories of cell-cycle progression from fixed cell populations. Nat. Methods, 12, 951-954.
-
(2015)
Nat. Methods
, vol.12
, pp. 951-954
-
-
Gut, G.1
-
25
-
-
0018466704
-
Statistical and structural approaches to texture
-
Haralick, R. M. (1979) Statistical and structural approaches to texture. Proc. IEEE, 786-804.
-
(1979)
Proc. IEEE
, pp. 786-804
-
-
Haralick, R.M.1
-
27
-
-
84881453258
-
Connectomic reconstruction of the inner plexiform layer in the mouse retina
-
Helmstaedter, M., et al. (2013) Connectomic reconstruction of the inner plexiform layer in the mouse retina. Nature, 500, 168-174.
-
(2013)
Nature
, vol.500
, pp. 168-174
-
-
Helmstaedter, M.1
-
28
-
-
17144396362
-
Automated classification of subcellular patterns in multicell images without segmentation into single cells
-
Huang, K., Murphy, R. (2004) Automated classification of subcellular patterns in multicell images without segmentation into single cells. In Proc. IEEE Int. Symp. on Biomedical Imaging: From Nano to Macro (ISBI'04), pp. 1139-1142.
-
(2004)
Proc. IEEE Int. Symp. On Biomedical Imaging: From Nano to Macro (ISBI'04)
, pp. 1139-1142
-
-
Huang, K.1
Murphy, R.2
-
29
-
-
84995784237
-
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
-
Kamnitsas, K., et al. (2017) Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. Med. Image Anal, 36, 61-78.
-
(2017)
Med. Image Anal
, vol.36
, pp. 61-78
-
-
Kamnitsas, K.1
-
30
-
-
84959185539
-
High-content analysis of breast cancer using single-cell deep transfer learning
-
Kandaswamy, C., et al. (2016) High-content analysis of breast cancer using single-cell deep transfer learning. J. Biomol. Screen, 21, 252-259.
-
(2016)
J. Biomol. Screen
, vol.21
, pp. 252-259
-
-
Kandaswamy, C.1
-
31
-
-
0020367511
-
Syntheses and adrenergic agonist properties of ringfluorinated isoproterenols
-
Kirk, K. L., et al. (1982) Syntheses and adrenergic agonist properties of ringfluorinated isoproterenols. J. Med. Chem., 25, 680-684.
-
(1982)
J. Med. Chem.
, vol.25
, pp. 680-684
-
-
Kirk, K.L.1
-
32
-
-
77949492506
-
Novel derivatives of 1, 3, 4-oxadiazoles are potent mitostatic agents featuring strong microtubule depolymerizing activity in the sea urchin embryo and cell culture assays
-
Kiselyov, A. S., et al. (2010) Novel derivatives of 1, 3, 4-oxadiazoles are potent mitostatic agents featuring strong microtubule depolymerizing activity in the sea urchin embryo and cell culture assays. Eur. J. Med. Chem., 45, 1683-1697.
-
(2010)
Eur. J. Med. Chem.
, vol.45
, pp. 1683-1697
-
-
Kiselyov, A.S.1
-
33
-
-
84976510674
-
Classifying and segmenting microscopy images with deep multiple instance learning
-
Kraus, O. Z., et al. (2016) Classifying and segmenting microscopy images with deep multiple instance learning. Bioinformatics, 32, i52-i59.
-
(2016)
Bioinformatics
, vol.32
, pp. i52-i59
-
-
Kraus, O.Z.1
-
34
-
-
84876231242
-
ImageNet classification with deep convolutional neural networks
-
Krizhevsky, A., et al. (2012) ImageNet classification with deep convolutional neural networks. In Proc. Advances in Neural Information Processing Systems, 25, pp. 1097-1105.
-
(2012)
Proc. Advances in Neural Information Processing Systems
, vol.25
, pp. 1097-1105
-
-
Krizhevsky, A.1
-
35
-
-
0037387215
-
Alsterpaullone, a novel cyclin-dependent kinase inhibitor, induces apoptosis by activation of caspase-9 due to perturbation in mitochondrial membrane potential
-
Lahusen, T., et al. (2003) Alsterpaullone, a novel cyclin-dependent kinase inhibitor, induces apoptosis by activation of caspase-9 due to perturbation in mitochondrial membrane potential. Mol. Carcinog., 36, 183-194.
-
(2003)
Mol. Carcinog.
, vol.36
, pp. 183-194
-
-
Lahusen, T.1
-
36
-
-
0032203257
-
Gradient based learning applied to document recognition
-
LeCun, Y., et al. (1998) Gradient based learning applied to document recognition. Proc. IEEE, 86, 2278-2324.
-
(1998)
Proc. IEEE
, vol.86
, pp. 2278-2324
-
-
LeCun, Y.1
-
37
-
-
84930630277
-
Deep learning
-
LeCun, Y., et al. (2015) Deep learning. Nature, 521, 436-444.
-
(2015)
Nature
, vol.521
, pp. 436-444
-
-
LeCun, Y.1
-
38
-
-
84870595917
-
Automated analysis and reannotation of subcellular locations in confocal images from the human protein atlas
-
Li, J., et al. (2012) Automated analysis and reannotation of subcellular locations in confocal images from the human protein atlas. PLoS One, 7, e50514.
-
(2012)
PLoS One
, vol.7
, pp. e50514
-
-
Li, J.1
-
39
-
-
84927125938
-
Single-cell and multivariate approaches in genetic perturbation screens
-
Liberali, P., et al. (2014) Single-cell and multivariate approaches in genetic perturbation screens. Nat. Rev. Genet., 16, 18-32.
-
(2014)
Nat. Rev. Genet.
, vol.16
, pp. 18-32
-
-
Liberali, P.1
-
40
-
-
0032209062
-
Feature detection with automatic scale selection
-
Lindeberg, T. (1998) Feature detection with automatic scale selection. Int. J. Comput. Vis., 30, 79-116.
-
(1998)
Int. J. Comput. Vis.
, vol.30
, pp. 79-116
-
-
Lindeberg, T.1
-
41
-
-
84863198481
-
Annotated high-throughput microscopy image sets for validation
-
Ljosa, V., et al. (2012) Annotated high-throughput microscopy image sets for validation. Nat. Methods, 9, 637-637.
-
(2012)
Nat. Methods
, vol.9
, pp. 637
-
-
Ljosa, V.1
-
42
-
-
84887943419
-
Comparison of methods for image-based profiling of cellular morphological responses to small-molecule treatment
-
Ljosa, V., et al. (2013) Comparison of methods for image-based profiling of cellular morphological responses to small-molecule treatment. J. Biomol. Screen, 18, 1321-1329.
-
(2013)
J. Biomol. Screen
, vol.18
, pp. 1321-1329
-
-
Ljosa, V.1
-
43
-
-
34250216344
-
Image-based multivariate profiling of drug responses from single cells
-
Loo, L. H., et al. (2007) Image-based multivariate profiling of drug responses from single cells. Nat. Methods, 4, 445-453.
-
(2007)
Nat. Methods
, vol.4
, pp. 445-453
-
-
Loo, L.H.1
-
44
-
-
65549144451
-
Single-cell-based image analysis of high-throughput cell array screens for quantification of viral infection
-
Matula, P., et al. (2009) Single-cell-based image analysis of high-throughput cell array screens for quantification of viral infection. Cytometry A, 75A, 309-318.
-
(2009)
Cytometry A
, vol.75 A
, pp. 309-318
-
-
Matula, P.1
-
45
-
-
26444512083
-
Toward automatic phenotyping of developing embryos from videos
-
Ning, F., et al. (2005) Toward automatic phenotyping of developing embryos from videos. IEEE Transs. Image Process., 14, 1360-1371.
-
(2005)
IEEE Transs. Image Process.
, vol.14
, pp. 1360-1371
-
-
Ning, F.1
-
46
-
-
45049083228
-
WND-CHARM: Multi-purpose image classification using compound image transforms
-
Orlov, N., et al. (2008) WND-CHARM: Multi-purpose image classification using compound image transforms. Pattern Recognit. Lett., 29, 1684-1693.
-
(2008)
Pattern Recognit. Lett.
, vol.29
, pp. 1684-1693
-
-
Orlov, N.1
-
47
-
-
0034649613
-
Synthesis and antitumor activities of novel pyrimidine derivatives of 2, 3-O, O-dibenzyl-6-deoxy-l-ascorbic acid and 4, 5-didehydro-5, 6-dideoxy-l-ascorbic acid
-
Raic-Malic, S., et al. (2000) Synthesis and antitumor activities of novel pyrimidine derivatives of 2, 3-O, O-dibenzyl-6-deoxy-l-ascorbic acid and 4, 5-didehydro-5, 6-dideoxy-l-ascorbic acid. J. Med. Chem., 43, 4806-4811.
-
(2000)
J. Med. Chem.
, vol.43
, pp. 4806-4811
-
-
Raic-Malic, S.1
-
49
-
-
84919744939
-
OverFeat: Integrated recognition, localization and detection using convolutional networks
-
Banff, AB, Canada
-
Sermanet, P., et al. (2014) OverFeat: Integrated recognition, localization and detection using convolutional networks. In Proc. International Conference on Learning Representations, Banff, AB, Canada.
-
(2014)
Proc. International Conference On Learning Representations
-
-
Sermanet, P.1
-
50
-
-
80051473208
-
Assessing the efficacy of low-level image content descriptors for computer-based fluorescence microscopy image analysis
-
Shamir, L. (2011) Assessing the efficacy of low-level image content descriptors for computer-based fluorescence microscopy image analysis. J. Microsc., 243, 284-292.
-
(2011)
J. Microsc.
, vol.243
, pp. 284-292
-
-
Shamir, L.1
-
51
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition
-
San Diego, CA, USA
-
Simonyan, K., Zisserman, A. (2015) Very deep convolutional networks for large-scale image recognition. In Proc. International Conference on Learning Representations, San Diego, CA, USA.
-
(2015)
Proc. International Conference On Learning Representations
-
-
Simonyan, K.1
Zisserman, A.2
-
52
-
-
85083953896
-
Deep inside convolutional networks: Visualising image classification models and saliency maps
-
Banff, AB, Canada
-
Simonyan, K., et al. (2014) Deep inside convolutional networks: Visualising image classification models and saliency maps. In Proc. International Conferences on Learning RepresentationsWorkshop, Banff, AB, Canada.
-
(2014)
Proc. International Conferences On Learning RepresentationsWorkshop
-
-
Simonyan, K.1
-
53
-
-
67651121886
-
Urea and carbamate derivatives of primaquine: Synthesis cytostatic and antioxidant activities
-
Simunovic, M., et al. (2009) Urea and carbamate derivatives of primaquine: Synthesis, cytostatic and antioxidant activities. Bioorg. Med. Chem., 17, 5605-5613.
-
(2009)
Bioorg. Med. Chem.
, vol.17
, pp. 5605-5613
-
-
Simunovic, M.1
-
54
-
-
84890498817
-
Machine learning in cell biology-teaching computers to recognize phenotypes
-
Sommer, C., Gerlich, D. W. (2013) Machine learning in cell biology-teaching computers to recognize phenotypes. J. Cell Sci., 126, 5529-5539.
-
(2013)
J. Cell Sci.
, vol.126
, pp. 5529-5539
-
-
Sommer, C.1
Gerlich, D.W.2
-
56
-
-
84956574418
-
CP-CHARM: Segmentation-free image classification made accessible
-
Uhlmann, V., et al. (2016) CP-CHARM: Segmentation-free image classification made accessible. BMC Bioinformatics, 17, 51.
-
(2016)
BMC Bioinformatics
, vol.17
, pp. 51
-
-
Uhlmann, V.1
-
57
-
-
0028170210
-
A specific inhibitor of phosphatidylinositol 3-kinase, 2-(4-morpholinyl)-8-phenyl-4H-1-benzopyran-4-one (LY294002
-
Vlahos, C. J., et al. (1994) A specific inhibitor of phosphatidylinositol 3-kinase, 2-(4-morpholinyl)-8-phenyl-4H-1-benzopyran-4-one (LY294002). J. Biol. Chem., 269, 5241-5248.
-
(1994)
J. Biol. Chem.
, vol.269
, pp. 5241-5248
-
-
Vlahos, C.J.1
-
58
-
-
0031965445
-
Quantification of apoptotic and lytic cell death by video microscopy in combination with artificial neural networks
-
Weisser, M., et al. (1998) Quantification of apoptotic and lytic cell death by video microscopy in combination with artificial neural networks. Cytometry, 31, 20-28.
-
(1998)
Cytometry
, vol.31
, pp. 20-28
-
-
Weisser, M.1
-
59
-
-
84959091021
-
Understanding neural networks through deep visualization
-
Lille, France
-
Yosinski, J., et al. (2015) Understanding neural networks through deep visualization. In Proc. ICML Deep LearningWorkshop, Lille, France.
-
(2015)
Proc. ICML Deep LearningWorkshop
-
-
Yosinski, J.1
-
61
-
-
84958257565
-
Predicting effects of noncoding variants with deep learning-based sequence model
-
Zhou, J., Troyanskaya, O. G. (2015) Predicting effects of noncoding variants with deep learning-based sequence model. Nat. Methods, 12, 931-934.
-
(2015)
Nat. Methods
, vol.12
, pp. 931-934
-
-
Zhou, J.1
Troyanskaya, O.G.2
-
62
-
-
84884928887
-
BIOCAT: A pattern recognition platform for customizable biological image classification and annotation
-
Zhou, J., et al. (2013) BIOCAT: A pattern recognition platform for customizable biological image classification and annotation. BMC Bioinformatics, 14, 291.
-
(2013)
BMC Bioinformatics
, vol.14
, pp. 291
-
-
Zhou, J.1
|