-
1
-
-
84894630323
-
Entering the era of single-cell transcriptomics in biology and medicine
-
Sandberg R. Entering the era of single-cell transcriptomics in biology and medicine. Nat Methods. 2013;11:22-4.
-
(2013)
Nat Methods.
, vol.11
, pp. 22-24
-
-
Sandberg, R.1
-
2
-
-
84882455458
-
Single-cell sequencing-based technologies will revolutionize whole-organism science
-
Shapiro E, Biezuner T, Linnarsson S. Single-cell sequencing-based technologies will revolutionize whole-organism science. Nat Rev Genet. 2013;14:618-30.
-
(2013)
Nat Rev Genet.
, vol.14
, pp. 618-630
-
-
Shapiro, E.1
Biezuner, T.2
Linnarsson, S.3
-
3
-
-
84900873950
-
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
-
Trapnell C, Cacchiarelli D, Grimsby J, Pokharel P, Li S, Morse M, et al. The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat Biotechnol. 2014;32:381-6.
-
(2014)
Nat Biotechnol.
, vol.32
, pp. 381-386
-
-
Trapnell, C.1
Cacchiarelli, D.2
Grimsby, J.3
Pokharel, P.4
Li, S.5
Morse, M.6
-
4
-
-
84941008542
-
Single-cell transcriptomics reveals a population of dormant neural stem cells that become activated upon brain injury
-
Llorens-Bobadilla E, Zhao S, Baser A, Saiz-Castro G, Zwadlo K, Martin-Villalba A. Single-cell transcriptomics reveals a population of dormant neural stem cells that become activated upon brain injury. Cell Stem Cell. 2015;17:329-40.
-
(2015)
Cell Stem Cell.
, vol.17
, pp. 329-340
-
-
Llorens-Bobadilla, E.1
Zhao, S.2
Baser, A.3
Saiz-Castro, G.4
Zwadlo, K.5
Martin-Villalba, A.6
-
5
-
-
84958103478
-
Single-cell RNA-sequencing reveals a continuous spectrum of differentiation in hematopoietic cells
-
Macaulay IC, Svensson V, Labalette C, Ferreira L, Hamey F, Voet T, et al. Single-cell RNA-sequencing reveals a continuous spectrum of differentiation in hematopoietic cells. Cell Rep. 2016;14:966-77.
-
(2016)
Cell Rep.
, vol.14
, pp. 966-977
-
-
Macaulay, I.C.1
Svensson, V.2
Labalette, C.3
Ferreira, L.4
Hamey, F.5
Voet, T.6
-
6
-
-
84949035291
-
Single-cell transcriptomics reveals receptor transformations during olfactory neurogenesis
-
Hanchate NK, Kondoh K, Lu Z, Kuang D, Ye X, Qiu X, et al. Single-cell transcriptomics reveals receptor transformations during olfactory neurogenesis. Science. 2015;350:1251-5.
-
(2015)
Science.
, vol.350
, pp. 1251-1255
-
-
Hanchate, N.K.1
Kondoh, K.2
Lu, Z.3
Kuang, D.4
Ye, X.5
Qiu, X.6
-
7
-
-
84900529199
-
Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
-
Treutlein B, Brownfield DG, Wu AR, Neff NF, Mantalas GL, Espinoza FH, et al. Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq. Nature. 2014;509:371-5.
-
(2014)
Nature.
, vol.509
, pp. 371-375
-
-
Treutlein, B.1
Brownfield, D.G.2
Wu, A.R.3
Neff, N.F.4
Mantalas, G.L.5
Espinoza, F.H.6
-
8
-
-
84929687805
-
The technology and biology of single-cell RNA sequencing
-
Kolodziejczyk AA, Kim JK, Svensson V, Marioni JC, Teichmann SA. The technology and biology of single-cell RNA sequencing. Mol Cell. 2015;58:610-20.
-
(2015)
Mol Cell.
, vol.58
, pp. 610-620
-
-
Kolodziejczyk, A.A.1
Kim, J.K.2
Svensson, V.3
Marioni, J.C.4
Teichmann, S.A.5
-
9
-
-
84969505817
-
SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data
-
Welch JD, Hartemink AJ, Prins JF. SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data. Genome Biol. 2016;17:106.
-
(2016)
Genome Biol.
, vol.17
, pp. 106
-
-
Welch, J.D.1
Hartemink, A.J.2
Prins, J.F.3
-
10
-
-
84885617426
-
Single-cell Hi-C reveals cell-to-cell variability in chromosome structure
-
Nagano T, Lubling Y, Stevens TJ, Schoenfelder S, Yaffe E, Dean W, et al. Single-cell Hi-C reveals cell-to-cell variability in chromosome structure. Nature. 2013;502:59-64.
-
(2013)
Nature.
, vol.502
, pp. 59-64
-
-
Nagano, T.1
Lubling, Y.2
Stevens, T.J.3
Schoenfelder, S.4
Yaffe, E.5
Dean, W.6
-
11
-
-
84905405443
-
Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity
-
Smallwood SA, Lee HJ, Angermueller C, Krueger F, Saadeh H, Peat J, et al. Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity. Nat Methods. 2014;11:817-20.
-
(2014)
Nat Methods.
, vol.11
, pp. 817-820
-
-
Smallwood, S.A.1
Lee, H.J.2
Angermueller, C.3
Krueger, F.4
Saadeh, H.5
Peat, J.6
-
12
-
-
84946545109
-
Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state
-
Rotem A, Ram O, Shoresh N, Sperling RA, Goren A, Weitz DA, et al. Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state. Nat Biotechnol. 2015;33:1165-72.
-
(2015)
Nat Biotechnol.
, vol.33
, pp. 1165-1172
-
-
Rotem, A.1
Ram, O.2
Shoresh, N.3
Sperling, R.A.4
Goren, A.5
Weitz, D.A.6
-
13
-
-
84937857359
-
Single-cell chromatin accessibility reveals principles of regulatory variation
-
Buenrostro JD, Wu B, Litzenburger UM, Ruff D, Gonzales ML, Snyder MP, et al. Single-cell chromatin accessibility reveals principles of regulatory variation. Nature. 2015;523:486-90.
-
(2015)
Nature.
, vol.523
, pp. 486-490
-
-
Buenrostro, J.D.1
Wu, B.2
Litzenburger, U.M.3
Ruff, D.4
Gonzales, M.L.5
Snyder, M.P.6
-
14
-
-
84959255113
-
Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity
-
Angermueller C, Clark SJ, Lee HJ, Macaulay IC, Teng MJ, Hu TX, et al. Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity. Nat Methods. 2016;13:229-32.
-
(2016)
Nat Methods.
, vol.13
, pp. 229-232
-
-
Angermueller, C.1
Clark, S.J.2
Lee, H.J.3
Macaulay, I.C.4
Teng, M.J.5
Hu, T.X.6
-
15
-
-
84949227165
-
Genome-wide detection of DNase I hypersensitive sites in single cells and FFPE tissue samples
-
Jin W, Tang Q, Wan M, Cui K, Zhang Y, Ren G, et al. Genome-wide detection of DNase I hypersensitive sites in single cells and FFPE tissue samples. Nature. 2015;528:142-6.
-
(2015)
Nature.
, vol.528
, pp. 142-146
-
-
Jin, W.1
Tang, Q.2
Wan, M.3
Cui, K.4
Zhang, Y.5
Ren, G.6
-
16
-
-
85025581111
-
Single-cell 5-formylcytosine landscapes of mammalian early embryos and ESCs at single-base resolution
-
Zhu C, Gao Y, Guo H, Xia B, Song J, Wu X, et al. Single-cell 5-formylcytosine landscapes of mammalian early embryos and ESCs at single-base resolution. Cell Stem Cell. 2017;338:1622-6.
-
(2017)
Cell Stem Cell.
, vol.338
, pp. 1622-1626
-
-
Zhu, C.1
Gao, Y.2
Guo, H.3
Xia, B.4
Song, J.5
Wu, X.6
-
17
-
-
84981312051
-
Single-cell 5hmC sequencing reveals chromosome-wide cell-to-cell variability and enables lineage reconstruction
-
Mooijman D, Dey SS, Boisset J-C, Crosetto N, van Oudenaarden A. Single-cell 5hmC sequencing reveals chromosome-wide cell-to-cell variability and enables lineage reconstruction. Nat Biotechnol. 2016;34:852-6.
-
(2016)
Nat Biotechnol.
, vol.34
, pp. 852-856
-
-
Mooijman, D.1
Dey, S.S.2
Boisset, J.-C.3
Crosetto, N.4
Oudenaarden, A.5
-
18
-
-
84924601067
-
Single-cell DNA methylome sequencing and bioinformatic inference of epigenomic cell-state dynamics
-
Farlik M, Sheffield NC, Nuzzo A, Datlinger P, Schönegger A, Klughammer J, et al. Single-cell DNA methylome sequencing and bioinformatic inference of epigenomic cell-state dynamics. Cell Rep. 2015;10:1386-97.
-
(2015)
Cell Rep.
, vol.10
, pp. 1386-1397
-
-
Farlik, M.1
Sheffield, N.C.2
Nuzzo, A.3
Datlinger, P.4
Schönegger, A.5
Klughammer, J.6
-
19
-
-
84982146199
-
Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution
-
Corces MR, Buenrostro JD, Wu B, Greenside PG, Chan SM, Koenig JL, et al. Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution. Nat Genet. 2016;48:1193-203.
-
(2016)
Nat Genet.
, vol.48
, pp. 1193-1203
-
-
Corces, M.R.1
Buenrostro, J.D.2
Wu, B.3
Greenside, P.G.4
Chan, S.M.5
Koenig, J.L.6
-
20
-
-
84969504939
-
Multi-omics of single cells: strategies and applications
-
Bock C, Farlik M, Sheffield NC. Multi-omics of single cells: strategies and applications. Trends Biotechnol. 2016;34:605-8.
-
(2016)
Trends Biotechnol.
, vol.34
, pp. 605-608
-
-
Bock, C.1
Farlik, M.2
Sheffield, N.C.3
-
21
-
-
85009781625
-
Single-cell multiomics: multiple measurements from single cells
-
Macaulay IC, Ponting CP, Voet T. Single-cell multiomics: multiple measurements from single cells. Trends Genet. 2017;33:155-68.
-
(2017)
Trends Genet.
, vol.33
, pp. 155-168
-
-
Macaulay, I.C.1
Ponting, C.P.2
Voet, T.3
-
22
-
-
84924423596
-
Integrated genome and transcriptome sequencing of the same cell
-
Dey SS, Kester L, Spanjaard B, Bienko M, van Oudenaarden A. Integrated genome and transcriptome sequencing of the same cell. Nat Biotechnol. 2015;33:285-9.
-
(2015)
Nat Biotechnol.
, vol.33
, pp. 285-289
-
-
Dey, S.S.1
Kester, L.2
Spanjaard, B.3
Bienko, M.4
Oudenaarden, A.5
-
23
-
-
84930178333
-
G&T-seq: parallel sequencing of single-cell genomes and transcriptomes
-
Macaulay IC, Haerty W, Kumar P, Li YI, Hu TX, Teng MJ, et al. G&T-seq: parallel sequencing of single-cell genomes and transcriptomes. Nat Methods. 2015;12:519-22.
-
(2015)
Nat Methods.
, vol.12
, pp. 519-522
-
-
Macaulay, I.C.1
Haerty, W.2
Kumar, P.3
Li, Y.I.4
Hu, T.X.5
Teng, M.J.6
-
24
-
-
84960091878
-
Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas
-
Hou Y, Guo H, Cao C, Li X, Hu B, Zhu P, et al. Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas. Cell Res. 2016;26:304-19.
-
(2016)
Cell Res.
, vol.26
, pp. 304-319
-
-
Hou, Y.1
Guo, H.2
Cao, C.3
Li, X.4
Hu, B.5
Zhu, P.6
-
25
-
-
84955371502
-
Simultaneous multiplexed measurement of RNA and proteins in single cells
-
Darmanis S, Gallant CJ, Marinescu VD, Niklasson M, Segerman A, Flamourakis G, et al. Simultaneous multiplexed measurement of RNA and proteins in single cells. Cell Rep. 2016;14:380-9.
-
(2016)
Cell Rep.
, vol.14
, pp. 380-389
-
-
Darmanis, S.1
Gallant, C.J.2
Marinescu, V.D.3
Niklasson, M.4
Segerman, A.5
Flamourakis, G.6
-
26
-
-
84988014533
-
Multiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reaction
-
Genshaft AS, Li S, Gallant CJ, Darmanis S, Prakadan SM, Ziegler CGK, et al. Multiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reaction. Genome Biol. 2016;17:188.
-
(2016)
Genome Biol.
, vol.17
, pp. 188
-
-
Genshaft, A.S.1
Li, S.2
Gallant, C.J.3
Darmanis, S.4
Prakadan, S.M.5
Ziegler, C.G.K.6
-
27
-
-
84862595041
-
Semisupervised alignment of manifolds
-
Proc 10th Intnl Conf on Artificial Intelligence and Statistics. SAIS. 2005;120-27
-
Ham J, Lee DD, Saul LK. Semisupervised alignment of manifolds. Proc 10th Intnl Conf on Artificial Intelligence and Statistics. SAIS. 2005;120-27.
-
-
-
Ham, J.1
Lee, D.D.2
Saul, L.K.3
-
28
-
-
84887488078
-
A general framework for manifold alignment
-
Palo Alto, CA: AAAI
-
Wang C, Mahadevan S. A general framework for manifold alignment. Palo Alto, CA: AAAI; 2009.
-
(2009)
-
-
Wang, C.1
Mahadevan, S.2
-
32
-
-
84919898241
-
Discriminative shared gaussian processes for multiview and view-invariant facial expression recognition
-
Eleftheriadis S, Rudovic O, Pantic M. Discriminative shared gaussian processes for multiview and view-invariant facial expression recognition. IEEE Trans Image Process. 2015;24:189-204.
-
(2015)
IEEE Trans Image Process.
, vol.24
, pp. 189-204
-
-
Eleftheriadis, S.1
Rudovic, O.2
Pantic, M.3
-
33
-
-
84898980901
-
Gaussian process latent variable models for visualisation of high dimensional data
-
Lawrence ND. Gaussian process latent variable models for visualisation of high dimensional data. Adv Neural Inf Process Syst. 2004;16:329-36.
-
(2004)
Adv Neural Inf Process Syst.
, vol.16
, pp. 329-336
-
-
Lawrence, N.D.1
-
35
-
-
84979912168
-
Variational inference for latent variables and uncertain inputs in Gaussian processes
-
Damianou AC, Titsias MK, Lawrence ND. Variational inference for latent variables and uncertain inputs in Gaussian processes. J Mach Learn Res. 2016;17:1-62.
-
(2016)
J Mach Learn Res.
, vol.17
, pp. 1-62
-
-
Damianou, A.C.1
Titsias, M.K.2
Lawrence, N.D.3
-
36
-
-
84923292191
-
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
-
Buettner F, Natarajan KN, Casale FP, Proserpio V, Scialdone A, Theis FJ, et al. Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells. Nat Biotechnol. 2015;33:155-60.
-
(2015)
Nat Biotechnol.
, vol.33
, pp. 155-160
-
-
Buettner, F.1
Natarajan, K.N.2
Casale, F.P.3
Proserpio, V.4
Scialdone, A.5
Theis, F.J.6
-
37
-
-
84983497196
-
Pseudotime estimation: deconfounding single cell time series
-
Reid JE, Wernisch L. Pseudotime estimation: deconfounding single cell time series. Bioinformatics. 2016;32(19):2973-80.
-
(2016)
Bioinformatics.
, vol.32
, Issue.19
, pp. 2973-2980
-
-
Reid, J.E.1
Wernisch, L.2
-
38
-
-
84999791835
-
Order under uncertainty: robust differential expression analysis using probabilistic models for pseudotime inference
-
Campbell KR, Yau C. Order under uncertainty: robust differential expression analysis using probabilistic models for pseudotime inference. PLOS Comput Biol. 2016;12:e1005212.
-
(2016)
PLOS Comput. Biol.
, vol.12
-
-
Campbell, K.R.1
Yau, C.2
-
39
-
-
84982161976
-
Single-cell multimodal profiling reveals cellular epigenetic heterogeneity
-
Cheow LF, Courtois ET, Tan Y, Viswanathan R, Xing Q, Tan RZ, et al. Single-cell multimodal profiling reveals cellular epigenetic heterogeneity. Nat Methods. 2016;13:833-6.
-
(2016)
Nat Methods.
, vol.13
, pp. 833-836
-
-
Cheow, L.F.1
Courtois, E.T.2
Tan, Y.3
Viswanathan, R.4
Xing, Q.5
Tan, R.Z.6
-
40
-
-
79851480767
-
Shared Gaussian process latent variables models
-
Oxford: Oxford Brookes University
-
Ek CH. Shared Gaussian process latent variables models. Oxford: Oxford Brookes University; 2009.
-
(2009)
-
-
Ek, C.H.1
-
41
-
-
84947748539
-
Single cell RNA-sequencing of pluripotent states unlocks modular transcriptional variation
-
Kolodziejczyk A, Kim JK, Tsang J, Ilicic T, Henriksson J, Natarajan K, et al. Single cell RNA-sequencing of pluripotent states unlocks modular transcriptional variation. Cell Stem Cell. 2015;17:471-85.
-
(2015)
Cell Stem Cell.
, vol.17
, pp. 471-485
-
-
Kolodziejczyk, A.1
Kim, J.K.2
Tsang, J.3
Ilicic, T.4
Henriksson, J.5
Natarajan, K.6
-
42
-
-
84904460344
-
Dynamic heterogeneity and DNA methylation in embryonic stem cells
-
Singer ZS, Yong J, Tischler J, Hackett JA, Altinok A, Surani MA, et al. Dynamic heterogeneity and DNA methylation in embryonic stem cells. Mol Cell. 2014;55:319-31.
-
(2014)
Mol Cell.
, vol.55
, pp. 319-331
-
-
Singer, Z.S.1
Yong, J.2
Tischler, J.3
Hackett, J.A.4
Altinok, A.5
Surani, M.A.6
-
43
-
-
65549095495
-
REST selectively represses a subset of RE1-containing neuronal genes in mouse embryonic stem cells
-
Jørgensen HF, Terry A, Beretta C, Pereira CF, Leleu M, Chen Z-F, et al. REST selectively represses a subset of RE1-containing neuronal genes in mouse embryonic stem cells. Development. 2009;136:715-21.
-
(2009)
Development.
, vol.136
, pp. 715-721
-
-
Jørgensen, H.F.1
Terry, A.2
Beretta, C.3
Pereira, C.F.4
Leleu, M.5
Chen, Z.-F.6
-
44
-
-
84859260959
-
REST-mediated recruitment of polycomb repressor complexes in mammalian cells
-
Dietrich N, Lerdrup M, Landt E, Agrawal-Singh S, Bak M, Tommerup N, et al. REST-mediated recruitment of polycomb repressor complexes in mammalian cells. PLoS Genet. 2012;8:e1002494.
-
(2012)
PLoS Genet.
, vol.8
-
-
Dietrich, N.1
Lerdrup, M.2
Landt, E.3
Agrawal-Singh, S.4
Bak, M.5
Tommerup, N.6
-
45
-
-
78751662908
-
The Polycomb complex PRC2 and its mark in life
-
Margueron R, Reinberg D. The Polycomb complex PRC2 and its mark in life. Nature. 2011;469:343-9.
-
(2011)
Nature.
, vol.469
, pp. 343-349
-
-
Margueron, R.1
Reinberg, D.2
-
46
-
-
84895805150
-
YY1 DNA binding and interaction with YAF2 is essential for Polycomb recruitment
-
Basu A, Wilkinson FH, Colavita K, Fennelly C, Atchison ML. YY1 DNA binding and interaction with YAF2 is essential for Polycomb recruitment. Nucleic Acids Res. 2014;42:2208-23.
-
(2014)
Nucleic Acids Res.
, vol.42
, pp. 2208-2223
-
-
Basu, A.1
Wilkinson, F.H.2
Colavita, K.3
Fennelly, C.4
Atchison, M.L.5
-
47
-
-
77956202054
-
Polycomb group proteins set the stage for early lineage commitment
-
Surface LE, Thornton SR, Boyer LA. Polycomb group proteins set the stage for early lineage commitment. Cell Stem Cell. 2010;7:288-98.
-
(2010)
Cell Stem Cell.
, vol.7
, pp. 288-298
-
-
Surface, L.E.1
Thornton, S.R.2
Boyer, L.A.3
-
48
-
-
84879613132
-
USF1 and hSET1A mediated epigenetic modifications regulate lineage differentiation and HoxB4 transcription
-
Deng C, Li Y, Liang S, Cui K, Salz T, Yang H, et al. USF1 and hSET1A mediated epigenetic modifications regulate lineage differentiation and HoxB4 transcription. PLoS Genet. 2013;9:e1003524.
-
(2013)
PLoS Genet.
, vol.9
-
-
Deng, C.1
Li, Y.2
Liang, S.3
Cui, K.4
Salz, T.5
Yang, H.6
-
49
-
-
33646070846
-
A bivalent chromatin structure marks key developmental genes in embryonic stem cells
-
Bernstein BE, Mikkelsen TS, Xie X, Kamal M, Huebert DJ, Cuff J, et al. A bivalent chromatin structure marks key developmental genes in embryonic stem cells. Cell. 2006;125:315-26.
-
(2006)
Cell.
, vol.125
, pp. 315-326
-
-
Bernstein, B.E.1
Mikkelsen, T.S.2
Xie, X.3
Kamal, M.4
Huebert, D.J.5
Cuff, J.6
-
50
-
-
84856962477
-
Enhancer decommissioning by LSD1 during embryonic stem cell differentiation
-
Whyte WA, Bilodeau S, Orlando DA, Hoke HA, Frampton GM, Foster CT, et al. Enhancer decommissioning by LSD1 during embryonic stem cell differentiation. Nature. 2012;482:221.
-
(2012)
Nature.
, vol.482
, pp. 221
-
-
Whyte, W.A.1
Bilodeau, S.2
Orlando, D.A.3
Hoke, H.A.4
Frampton, G.M.5
Foster, C.T.6
-
51
-
-
80053063127
-
Maintaining embryonic stem cell pluripotency with Wnt signaling
-
Sokol SY. Maintaining embryonic stem cell pluripotency with Wnt signaling. Development. 2011;138:4341-50.
-
(2011)
Development.
, vol.138
, pp. 4341-4350
-
-
Sokol, S.Y.1
-
52
-
-
84871586080
-
A molecular roadmap of reprogramming somatic cells into iPS cells
-
Polo JM, Anderssen E, Walsh RM, Schwarz BA, Nefzger CM, Lim SM, et al. A molecular roadmap of reprogramming somatic cells into iPS cells. Cell. 2012;151:1617-32.
-
(2012)
Cell.
, vol.151
, pp. 1617-1632
-
-
Polo, J.M.1
Anderssen, E.2
Walsh, R.M.3
Schwarz, B.A.4
Nefzger, C.M.5
Lim, S.M.6
-
54
-
-
84891808382
-
JASPAR 2014: an extensively expanded and updated open-access database of transcription factor binding profiles
-
Mathelier A, Zhao X, Zhang AW, Parcy F, Worsley-Hunt R, Arenillas DJ, et al. JASPAR 2014: an extensively expanded and updated open-access database of transcription factor binding profiles. Nucleic Acids Res. 2014;42:D142-7.
-
(2014)
Nucleic Acids Res.
, vol.42
, pp. D142-D147
-
-
Mathelier, A.1
Zhao, X.2
Zhang, A.W.3
Parcy, F.4
Worsley-Hunt, R.5
Arenillas, D.J.6
-
55
-
-
84355163093
-
DNA-binding factors shape the mouse methylome at distal regulatory regions
-
Stadler MB, Murr R, Burger L, Ivanek R, Lienert F, Schöler A, et al. DNA-binding factors shape the mouse methylome at distal regulatory regions. Nature. 2011;480:490-5.
-
(2011)
Nature.
, vol.480
, pp. 490-495
-
-
Stadler, M.B.1
Murr, R.2
Burger, L.3
Ivanek, R.4
Lienert, F.5
Schöler, A.6
-
56
-
-
25444448065
-
Gaussian processes for machine learning
-
Cambridge, MA: MIT Press
-
Rasmussen CE, Williams CKI, Sutton RS, Barto AG, Spirtes P, Glymour C, et al. Gaussian processes for machine learning. Cambridge, MA: MIT Press; 2006.
-
(2006)
-
-
Rasmussen, C.E.1
Williams, C.K.I.2
Sutton, R.S.3
Barto, A.G.4
Spirtes, P.5
Glymour, C.6
|