Tonon: Lecture III Flashcards

Hierarchical Clustering and Partitioning Methods

1
Q

What are the 2 types of clustering?

A

hierarchical clustering and partitioning

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2
Q

What is hierarchical clustering?

A

tree where the length of the branches reflects the degree of similarity between objects

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3
Q

What is Partitioning Method?

A

it is a clustering method where the amount of clusters are chosen

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4
Q

What is a node?

A

when 2 rows that are very similar are combined to form a single entity

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5
Q

What do the shortest branches of the tree represent?

A

genes with the highest correlation

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6
Q

What is Genomic Nonnegative Matrix Factorization?

A

tool originally developed for face recognition, but it was used by the Professor for genomic data to identify the number of subsets in a specific dataset

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7
Q

In relation to genomic data, what did Nonnegative Matrix Factorization provide?

A

reliability, aka Cophenetic correlation or robustness of the number of clusters

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8
Q

How do we define whether 2 genes are differentially expressed?

A

fold-change

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9
Q

What is the student t-test?

A

statistical significance test

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10
Q

Why would we adjust the p-value?

A

to make it more reliable by taking into account the chance of random effect

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11
Q

What is the most brutal adjusted p-value method?

A

Bonferroni because many times no results are found due to its strict limitations

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12
Q

What is the most used p-value for T-tests?

A

0.05 normal

0.01 strict

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13
Q

What is peculiar about this graph?

A

all red dots are on the same side, which means they are down-regulated, but this is very rare because there are activators and inhibitors in all pathways that would cause a different distribution

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14
Q

Explain the Graph

A

used for gene expression difference

in enriched, all the genes are skewed to one of the ends
in unenriched, all the genes stay closer to the line

graph is obtained with genes in DNA repair out of the cell cycle are placed without threshold

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15
Q

Why is GSEA important?

A

we can obtain meaningful results we would not get with fold-change

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16
Q

What is a gene signature?

A

biomarker

17
Q

What is a marker used in cancer to visualize proliferation in a pathological setting?

A

ki67

18
Q

What are some limitations to molecular signatures?

A

the signatures do not provide proof that a treatment will impact survival

19
Q

Why are survival curves unreliable?

A

the distribution of survival is not normal…they do not have a classical distribution

SURVIVAL CURVES SHOULD BE TAKEN WITH CAUTION FROM PAPERS