Filters:

 
Accelerating Therapeutics for Opportunities in Medicine (ATOM)
 
Advanced Computing Solutions for Cancer (JDACS4C)

 
JDACS4C Cellular Level Pilot: Predictive Modeling for Pre-Clinical Screening
 
JDACS4C Molecular Level Pilot: Improving Outcomes for RAS-related Cancers
 
JDACS4C Molecular level Pilot: KRAS4b Protein Modeling using Multiscale Machine-Learned Modeling Infrastructure (MuMMI)
 
JDACS4C Population Level Pilot: Population Information Integration, Analysis, and Modeling for Precision Surveillance
 
Neurocrine Histamine H1 receptor Demonstration
 
Safety Screening

 
3k disordered 3-component-system (DPPC-DOPC-CHOL)
 
Autoencoder for MD Simulation Data (P2B1)
 
Cancer Type Classifier Based on Somatic Mutations (P1B2)
 
Combination Drug Response Predictor (Combo)
 
Drug MoA Information
 
Drug Molecular Descriptors
 
Gene Expression Autoencoder (P1B1)
 
H1 Selectivity Assay
 
H1_M2_update_10nM
 
Integrated DataFrames of Most Prevalent Cancer Types - TopN (Top6/Top21)
 
KRAS4b Simulation Data
 
ML Ready Pathology Reports
 
MultiTask Convolutional Neural Network (MT-CNN)
 
MuMMI Splash Run 2 for KRAS4b Protein Modeling
 
MuMMI Splash Run 4 for KRAS4b Protein Modeling
 
Normal-Tumor Pair Classifier Model (NT3)
 
Pathology Reports Hierarchical Self-Attention Network (HiSAN)
 
Pilot 1 Cancer Drug Response Prediction Dataset
 
RAS Protein Molecular Dynamics Simulations
 
RNA-Seq Latent Featurizer Using Center Loss Cost Function (CLRNA)
 
Single Drug Response Predictor (P1B3)
 
Tumor Classifier Model (TC1)
 
Unified Drug Response Predictor (Uno)

 
Dataset
 
Model