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4,941 to 4,950 of 5,040 Results
BMCMG-S3-S5.pdf
BMCMG-S3-S5.pdf
Mar 22, 2019 - Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses"
Adobe PDF - 230.7 KB - MD5: 5eaacf3e85802ab48d79ed78a1d2dec8
BMCMG-S3-S6.pdf
BMCMG-S3-S6.pdf
Mar 22, 2019 - Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses"
Adobe PDF - 511.5 KB - MD5: 64c40b1e4547bd23b9f0ad352d9a788e
BMCMG-S3-S7.pdf
BMCMG-S3-S7.pdf
Mar 22, 2019 - Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses"
Adobe PDF - 223.8 KB - MD5: c1c3ae91da73b8ce2d639bb34ef066a3
cell2csv.m
Mar 22, 2019 - Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses"
Plain Text - 939 B - MD5: c0c47290add1587201f14153bd811935
main_transform_data.m
Mar 22, 2019 - Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses"
Plain Text - 1.0 KB - MD5: 056f2628db7a2f3cf541e0629bd57389
AcRF Tier 2 Influenza(Nanyang Technological University)
Mar 22, 2019KWOH Chee Keong
Maine airport network in January 2018
Oct 25, 2018 - Bitcoin Graph Analytics
Oggier, Frederique Elise; Phetsouvanh, Silivanxay; Datta, Anwitaman, 2018, "Maine airport network in January 2018", https://doi.org/10.21979/N9/WM0K5W, DR-NTU (Data), V1
This dataset contains a network of Maine airports, for the month of January 2018. It got extracted from https://www.transtats.bts.gov/DL_SelectFields.asp? Table_ID=292 using the option passengers only. Nodes are airports, and there is a directed edge between them if there is a fl...
GMaine.txt
Oct 25, 2018 - Maine airport network in January 2018
Plain Text - 1.3 KB - MD5: b6bd1fe5b97d29ab7874fb6d8dc39a39
Data
Graph data, every line contains an edge, described by a pair of edges separated by a comma, followed by a weight.
A 4571 node directed weighted Bitcoin address subgraph
Oct 25, 2018 - Bitcoin Graph Analytics
Oggier, Frederique Elise; Phetsouvanh, Silivanxay; Datta, Anwitaman, 2018, "A 4571 node directed weighted Bitcoin address subgraph", https://doi.org/10.21979/N9/IEPBXV, DR-NTU (Data), V1, UNF:6:ESZMAvxDSQdlDdmXcLL+Ng== [fileUNF]
This dataset contains an address subgraph of the Bitcoin network comprising 4571 nodes. Every line contains 2 Bitcoin addresses separated by a comma, followed by a weight. This represents a directed edge in this subgraph with its weight. This data was extracted from the Bitcoin t...
4571-weighted-Bitcoin-subgraph.tab
Oct 25, 2018 - A 4571 node directed weighted Bitcoin address subgraph
Tabular Data - 791.6 KB - 3 Variables, 9328 Observations - UNF:6:ESZMAvxDSQdlDdmXcLL+Ng==
Data
Graph data, every line contains an edge, described by a pair of edges separated by a comma, followed by a weight.
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