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 Population Level Pilot: Population Information Integration, Analysis, and Modeling for Precision Surveillance
  Neurocrine H1 Demonstration
  Safety Screening

  CHRM2
  CHRM3
  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)
  CYP2C9
  CYP2D6
  CYP3A4
  Drug MoA Information
  Drug Molecular Descriptors
  Gene Expression Autoencoder (P1B1)
  H1 Selectivity Assay
  H1_M2_update_10nM
  HRH1
  Integrated DataFrames of Most Prevalent Cancer Types - TopN (Top6/Top21)
  KCNH2
  KRAS4b Simulation Data
  ML Ready Pathology Reports
  MultiTask Convolutional Neural Network (MT-CNN)
  Normal-Tumor Pair Classifier Model (NT3)
  Pathology Reports Hierarchical Self-Attention Network (HiSAN)
  PIK3CG
  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)
  Union Model

  Dataset
  Model