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Well done, boys!! | |
ID: 507 · Reply Quote | |
Great ! Thank You for the update :) | |
ID: 508 · Reply Quote | |
Thanks to share this, happy to see that we are helpful :) | |
ID: 509 · Reply Quote | |
Here follows the current list of our contributions, links to papers will be provided when published. Any news?? | |
ID: 515 · Reply Quote | |
More publications added | |
ID: 1545 · Reply Quote | |
I don't understand the science, but you seem to have found one of the better biomedical applications for BOINC. | |
ID: 1546 · Reply Quote | |
More publications added Great!! | |
ID: 1547 · Reply Quote | |
Hi team, | |
ID: 1553 · Reply Quote | |
Something to remember with research, is that it is rarely possible to say in advance, how long, how many, how much etc. What tends to happen is that a project starts with a good idea of where it is going, but as the results start drifting back, some suprises appear, these can lead to additional types of jobs, different techniques etc. If you look at the history of other BOINC projects, you will see this again and again. | |
ID: 1555 · Reply Quote | |
Something to remember with research, is that it is rarely possible to say in advance, how long, how many, how much etc. What tends to happen is that a project starts with a good idea of where it is going, but as the results start drifting back, some suprises appear, these can lead to additional types of jobs, different techniques etc. If you look at the history of other BOINC projects, you will see this again and again. Exactly. In our case, being the algorithm we use rather general, the number of problems we may try to solve could be very large. Simply speaking we implement an algorithm for 'causal relationships' between variables (something stronger than correlation), look at this simple description of the concept: https://medium.com/datadriveninvestor/goodbye-correlation-say-hello-to-the-era-of-causal-inference-f238065c156b. At his moment our 'variables' are 'gene expression values' of different organisms (bacteria, plants, humans). To put it simply we try to figure out if a gene X is somewhat related with a gene, or a network of genes Y that we already know are involved in some kind of biological process, thus increasing the overall knowledge of the process itself. | |
ID: 1556 · Reply Quote | |
Hi, | |
ID: 1557 · Reply Quote | |
Hi, They are "on hold" because we already expanded all the genes (using one set of the algorithm's parameters) and some of the possible gene networks; results were good and some have been already published. We may go further with the same organism, maybe changing some algorithm's parameter, expanding some other networks or using a different gene expression dataset. The decision is up to the biologists we work with. The choice of the organism to analyze is also up to the biologists. The scientific focus, right now, is on the Vitis vinifera (grapevine) which is of interest to https://www.fmach.it/eng/CRI/general-info/organisation/Chief-scientific-office/Genomics-and-biology-of-fruit-crops (they are actually preparing a new gene expression dataset). The computational part is now mainly dedicated to Homo sapiens, see https://gene.disi.unitn.it/test//forum_thread.php?id=217#1329 It would be interesting to 'crunch' all the genes of the world, but obviously not realistic... | |
ID: 1558 · Reply Quote | |
In that case...wouldn't be interesting to add something to "science status" link? | |
ID: 1560 · Reply Quote | |
In that case...wouldn't be interesting to add something to "science status" link? OK, good point, I just updated the science page with some new info. | |
ID: 1561 · Reply Quote | |
It looks definetely better¡ | |
ID: 1562 · Reply Quote | |
By the way...It would be rather interesting to understand what is included in each "task / work unit". | |
ID: 1566 · Reply Quote | |
By the way...It would be rather interesting to understand what is included in each "task / work unit". In the current experiment the expansion of a single gene is made up by 294 workunits. A workunit name like '154374_Hs_T068364-SERPINB7_wu-29_1559223285745_2', can be read as follow: id_organism_isoform_gene_wu-N_timestamp (where N is up to 294) | |
ID: 1571 · Reply Quote | |
Great. | |
ID: 1575 · Reply Quote | |
>>> we definetely need to gain computing power somewhere | |
ID: 1576 · Reply Quote | |
Probably the best way to get known is just to list TN-Grid in the BOINC projects list. I hope they have taken care of that for the next BOINC release. Otherwise, it will be an uphill struggle. | |
ID: 1577 · Reply Quote | |
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Scientific results (Comments)