11 to 20 of 53 Results
Sep 19, 2017 -
NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential
Windows Executable - 55 B -
MD5: c66d396a02c1a8f9d7ccc801b755fd97
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Sep 19, 2017 -
NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential
Shell Script - 56 B -
MD5: c6d33286b1ee76ef95b7921cbd903625
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Sep 19, 2017 -
NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential
ZIP Archive - 30.0 MB -
MD5: dd842bac1ae6673618d897c539db3091
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Sep 19, 2017 -
NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential
ZIP Archive - 1.1 MB -
MD5: 92e27fd669a6827a4548cf753f280107
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Sep 19, 2017 -
NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential
ZIP Archive - 15.1 KB -
MD5: 817af96444207092fc43eee73bb72eca
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Sep 19, 2017 - SynLethDB
Zheng, Jie, 2017, "SynLethDB: synthetic lethality database towards discovery of selective and sensitive anticancer drug targets", https://doi.org/10.21979/N9/CVEVDZ, DR-NTU (Data), V1
This dataset is used in the SynLethDB which is the first comprehensive database that harbours a large set of synthetic lethality (SL) gene pairs collected from a variety of sources including biochemical assays, other related databases, computational predictions and text mining. I... |
Sep 19, 2017 -
SynLethDB: synthetic lethality database towards discovery of selective and sensitive anticancer drug targets
Plain Text - 128.9 MB -
MD5: 00109facd46df1952dfa07d8f363db99
Gene Expression |
Sep 19, 2017 -
SynLethDB: synthetic lethality database towards discovery of selective and sensitive anticancer drug targets
Plain Text - 802.6 KB -
MD5: 4576e208718600e26c5bc4a93213ab16
Drug Target |
Sep 19, 2017 -
SynLethDB: synthetic lethality database towards discovery of selective and sensitive anticancer drug targets
Plain Text - 56.3 MB -
MD5: 70178e7c157c311dd26a142365e91da4
Gene Expression |
Sep 19, 2017 -
SynLethDB: synthetic lethality database towards discovery of selective and sensitive anticancer drug targets
Plain Text - 14.8 MB -
MD5: f9c0e43166ebb88cf47eb0b89d79fd13
Drug Target |
