Commit
·
0de3557
1
Parent(s):
203f3f3
Added more information on mAbs
Browse files
about.py
CHANGED
@@ -20,7 +20,7 @@ Here we invite the community to submit and develop better predictors, which will
|
|
20 |
#### 🏆 Prizes
|
21 |
|
22 |
For each of the 5 properties in the competition, there is a prize for the model with the highest performance for that property on the private test set.
|
23 |
-
There is also an 'open-source' prize for the best model trained on the GDPa1 dataset (reporting cross-validation results) and assessed on the private test set where authors provide all training code and data.
|
24 |
For each of these 6 prizes, participants have the choice between **$10k in data generation credits** with [Ginkgo Datapoints](https://datapoints.ginkgo.bio/) or a **cash prize** with a value of $2000.
|
25 |
|
26 |
See the "{FAQ_TAB_NAME}" tab above (you are currently on the "{ABOUT_TAB_NAME}" tab) or the [competition terms]({TERMS_URL}) for more details.
|
@@ -71,6 +71,9 @@ FAQS = {
|
|
71 |
"Note: These assays may differ from previously published methods, and these correlations between literature data and experimental data are also described in the preprint. "
|
72 |
"These same methods are used to generate the heldout test data."
|
73 |
),
|
|
|
|
|
|
|
74 |
"How were the heldout sequences designed?": (
|
75 |
"We sampled 80 paired antibody sequences from [OAS](https://opig.stats.ox.ac.uk/webapps/oas/). We tried to represent the range of germline variants, sequence identities to germline, and CDR3 lengths. "
|
76 |
"The sequences in the dataset are quite diverse as measured by pairwise sequence identity."
|
|
|
20 |
#### 🏆 Prizes
|
21 |
|
22 |
For each of the 5 properties in the competition, there is a prize for the model with the highest performance for that property on the private test set.
|
23 |
+
There is also an 'open-source' prize for the best model trained on the GDPa1 dataset of monoclonal antibodies (reporting cross-validation results) and assessed on the private test set where authors provide all training code and data.
|
24 |
For each of these 6 prizes, participants have the choice between **$10k in data generation credits** with [Ginkgo Datapoints](https://datapoints.ginkgo.bio/) or a **cash prize** with a value of $2000.
|
25 |
|
26 |
See the "{FAQ_TAB_NAME}" tab above (you are currently on the "{ABOUT_TAB_NAME}" tab) or the [competition terms]({TERMS_URL}) for more details.
|
|
|
71 |
"Note: These assays may differ from previously published methods, and these correlations between literature data and experimental data are also described in the preprint. "
|
72 |
"These same methods are used to generate the heldout test data."
|
73 |
),
|
74 |
+
"What do the datasets contain?": (
|
75 |
+
"Both the GDPa1 and heldout test set contain the VH and VL sequences, as well as the full heavy chain sequence. The GDPa1 dataset is a mix of IgG1, IgG2, and IgG4 antibodies while the heldout test set only contains IgG1 antibodies. We also include the light chain subtype (lambda or kappa)."
|
76 |
+
),
|
77 |
"How were the heldout sequences designed?": (
|
78 |
"We sampled 80 paired antibody sequences from [OAS](https://opig.stats.ox.ac.uk/webapps/oas/). We tried to represent the range of germline variants, sequence identities to germline, and CDR3 lengths. "
|
79 |
"The sequences in the dataset are quite diverse as measured by pairwise sequence identity."
|