Nikhil Cheerla

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Nikhil Cheerla trusts overall

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

  1. Mark A. Hall
  2. Nitesh V. Chawla
  3. Carlo Maria Croce
  4. Olga G. Troyanskaya
  5. Michael Domrachev
  6. Kevin W. Bowyer
  7. N. Rosenfeld
  8. George A. Calin
  9. Eibe Frank
  10. A. Esquela-Kerscher

Who trusts Nikhil Cheerla overall

  1. Anika Cheerla
  2. Wei Zhang
  3. Olivier Gevaert
  4. Xiaofeng He
  5. Hongyuan Zha

Papers from Nikhil Cheerla's perspective

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

  1. SMOTE: Synthetic Minority Over-sampling Technique
  2. MicroRNA expression profiles classify human cancers (Nature)
  3. The WEKA data mining software: an update
  4. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository (Nucleic Acids Res.)
  5. MicroRNA signatures in human cancers (Nature Reviews. Cancer)
  6. Oncomirs — microRNAs with a role in cancer (Nature Reviews. Cancer)
  7. Missing value estimation methods for DNA microarrays
  8. MicroRNAs accurately identify cancer tissue origin (Nature Biotechnology)
  9. Causes and consequences of microRNA dysregulation in cancer (Nature reviews genetics)
  10. Validation of oligoarrays for quantitative exploration of the transcriptome (BMC Genomics)

Their papers