41 to 50 of 92 Results
Feb 22, 2017 -
Systematic Literature Review on Automated Monument Detection
Plain Text - 12.4 KB -
MD5: 1845839599ea7a054d14a98c0985c819
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Dec 4, 2017 -
Dose Enhancement Effects of Gold Nanoparticles Specifically Targeting RNA in Breast Cancer Cells [Dataset]
ZIP Archive - 820.9 MB -
MD5: 1119e42b961605a5a1ba24b5c2aaa23f
png files |
Jul 6, 2017 -
Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks
ZIP Archive - 11.7 MB -
MD5: cf7ada29878c444804376f8021962e7c
Format: zip |
Jul 6, 2017 -
Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks
Gzip Archive - 9.8 MB -
MD5: 891b071992b7dbf2ed9b741af0d43731
Format: tar-Ball, gzip |
Jul 6, 2017 -
Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks
ZIP Archive - 949.3 KB -
MD5: a3a5c315dbd6d1cde636c204a0ce7605
for Windows XP or higher; R version >= 2.14 |
Jul 6, 2017 -
Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks
ZIP Archive - 964.1 KB -
MD5: d5c374313ba8ff066d9d9f1b157501e3
for Windows XP or higher; R version 2.11 to < 2.14 |
Jul 6, 2017 -
Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks
Plain Text - 1.7 KB -
MD5: d4cfddf53d17f448674e8e2a0a3c5704
Batch file for Windows (R version >= 2.14) |
Jul 6, 2017 -
Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks
Plain Text - 1.7 KB -
MD5: d4cfddf53d17f448674e8e2a0a3c5704
Batch file for Windows (R version 2.11 to < 2.14). |
Jul 6, 2017 -
Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks
Gzip Archive - 902.3 KB -
MD5: f628bbf7d66353edb57f1c7eb29e380d
for MAC/Linux/Unix operating systems; R version >= 2.14 |
Jul 6, 2017 -
Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks
Gzip Archive - 901.6 KB -
MD5: af1d7a1de35cf399e8102c1cd4ce420e
for MAC/Linux/Unix operating systems; R version 2.11 to < 2.14 |