Eva Prakash

Molecular Biology · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eva Prakash trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Scott M. Lundberg
  2. Yana Bromberg
  3. Jian Zhou
  4. Dongwon Lee
  5. Avanti Shrikumar
  6. Mukund Sundararajan
  7. Mahmoud Ghandi

Papers from Eva Prakash's perspective

Ordered by how strongly the researchers Eva Prakash trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning Important Features Through Propagating Activation Differences
  2. A Unified Approach to Interpreting Model Predictions
  3. Axiomatic Attribution for Deep Networks
  4. Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features
  5. DNaseI sensitivity QTLs are a major determinant of human expression variation (Nature)
  6. Comprehensive in silico mutagenesis highlights functionally important residues in proteins
  7. Systematic discovery and characterization of regulatory motifs in ENCODE TF binding experiments
  8. A method to predict the impact of regulatory variants from DNA sequence
  9. Predicting effects of noncoding variants with deep learning–based sequence model
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers