Simone Leo
SEEK ID: https://dev.workflowhub.eu/people/50
Location:
Italy
ORCID:
https://orcid.org/0000-0001-8271-5429
Joined: 1st Dec 2020
Expertise: Not specified
Tools: Not specified
Their tagsRelated items
Teams: Testing, Finn's test team, PNDB, LifeMonitorDev, iPC: individualizedPaediatricCure, test, Test Team, Australian BioCommons Dev, opscientia, V-pipe, UX study leave, DALiuGE workflows, Team1, UX study, My Fancy Team, Team UX Study11, My team, ux study team, UX study koehorst, Team Koehorst, UX Study (satra), Steve's UX Study Test Team, TestSaandra, KJ-workflow-test, NewTeam, team, UXStudy, A Team, UX study K, UXStudy99, Study team, Another new team, UX study2, Team 20220225, my new team, UX Study AU, Testing_proteomics, A test space (KKH), Pleiade, QSM4SENIOR, IGG-Bioinfo, Defragmentation training school, FWCC-D@HZDR, Submission Tutorial, Testing team, Galaxy Training Network, Exploring SEEK SOP functionality, MyTest, Tsinghua University BCI group, Test Team Number Nine, Eli's test team, EMBL Bioimage analysis service, Hu's Test, test 705c32e038d0, Workshop Mar 2025 Test Out, Genomics for Australian Plants, Testing RO-crate generation and submission, BSC Dev, LS Test Team, CSB, MyTestTeam, Workflow Registry LUMC, FAIRagro test, Test Team Name
Web page: Not specified
ROR ID: Not specified
Department: Not specified
Country: Italy
City: Pula (CA)
Web page: https://www.crs4.it/
Prostate cancer classification workflow
This workflow segments tissue regions and classifies prostate cancer on H&E whole slide images, using AI. It consists of three steps:
-
low-resolution tissue segmentation to select areas for further processing;
-
high-resolution tissue segmentation to refine borders - it uses step 1 as input;
-
high-resolution normal/cancer classification - it uses step 1 as input.
Tissue segmentation workflow
This workflow performs tissue segmentation on H&E whole slide images using AI.
Fragment-based virtual screening with docking and pose scoring
Dock a compound library against a target protein with rDock and validate the poses generated against a reference fragment using SuCOS to compare the feature overlap. Poses are filtered by a user-specified SuCOS threshold.
A list of fragments should be specified which will be used to define the cavity for docking, using the 'Frankenstein ligand' technique. For more details, please see https://www.informaticsmatters.com/blog/2018/11/23/cavities-and-frankenstein-molecules.html ...
Tests sort lines and change text to upper case
